19장 순환 신경망 (Recurrent neural network)
“부록3 매트플롯립 입문”에서 한글 폰트를 올바르게 출력하기 위한 설치 방법을 설명했다. 설치 방법은 다음과 같다.
! sudo apt - get install - y fonts - nanum * | tail - n 1 ! sudo fc - cache - fv ! rm - rf ~/ .cache / matplotlib # 필요 라이브러리 설치
! pip install torchviz | tail - n 1 ! pip install torchinfo | tail - n 1 # 라이브러리 임포트
% matplotlib inline import numpy as np import matplotlib.pyplot as plt from IPython.display import display
# 폰트 관련 용도 import matplotlib.font_manager as fm
# Colab, Linux # 나눔 고딕 폰트의 경로 명시 path = '/usr/share/fonts/truetype/nanum/NanumGothic.ttf' font_name = fm.FontProperties( fname = path, size = 10 ).get_name()
# Window # font_name = "NanumBarunGothic"
# Mac # font_name = "AppleGothic" # warning 표시 끄기 import warnings warnings.simplefilter( 'ignore' )
import os import torch from torch import nn, optim # 기본 폰트 설정 plt.rcParams[ 'font.family' ] = font_name
# 기본 폰트 사이즈 변경 plt.rcParams[ 'font.size' ] = 14
# 기본 그래프 사이즈 변경 plt.rcParams[ 'figure.figsize' ] = ( 6 , 6 )
# 기본 그리드 표시 # 필요에 따라 설정할 때는, plt.grid() plt.rcParams[ 'axes.grid' ] = True plt.rcParams[ "grid.linestyle" ] = ":"
# 마이너스 기호 정상 출력 plt.rcParams[ 'axes.unicode_minus' ] = False
# 넘파이 부동소수점 자릿수 표시 np.set_printoptions( suppress = True , precision = 4 ) # GPU 디바이스 할당
device = torch.device( "cuda:0" if torch.cuda.is_available() else "cpu" ) print (device) cuda:0
Vanillla RNN RNN 모델 구조
def torch_seed (seed = 123 , deter = False ): torch.manual_seed(seed) torch.cuda.manual_seed(seed) torch.backends.cudnn.deterministic = deter torch.use_deterministic_algorithms = deter ## parameter input_size = 2 hidden_size = 4
# (batch_size, time_steps, input_size) inputs = torch.rand(( 1 , 5 , input_size)) # U(0, 1) print (inputs) print (inputs.dtype) tensor([[[0.1241, 0.4324],
[0.2235, 0.2961],
[0.9725, 0.1091],
[0.7995, 0.5880],
[0.7150, 0.0430]]])
torch.float32
input_size = 2 hidden_size = 4 rnn = nn.RNN(input_size, hidden_size, batch_first = True ) torch_seed()
## parameter input_size = 2 hidden_size = 4 rnn = nn.RNN(input_size, hidden_size, batch_first = True ) # 맨 앞이 batch print ( 'hidden weights = \n ' ) list (rnn.parameters()) hidden weights =
[Parameter containing:
tensor([[-0.2039, 0.0166],
[-0.2483, 0.1886],
[-0.4260, 0.3665],
[-0.3634, -0.3975]], requires_grad=True),
Parameter containing:
tensor([[-0.3159, 0.2264, -0.1847, 0.1871],
[-0.4244, -0.3034, -0.1836, -0.0983],
[-0.3814, 0.3274, -0.1179, 0.1605],
[ 0.3536, 0.0932, 0.1367, 0.4826]], requires_grad=True),
Parameter containing:
tensor([-0.2255, 0.1584, -0.2225, 0.3573], requires_grad=True),
Parameter containing:
tensor([ 0.3993, -0.4610, 0.4268, 0.2388], requires_grad=True)]
outputs, _status = rnn(inputs) # inputs = (1, 5, 2) print ( "hiddens = \n " , outputs) ## 모든 노드 print ( "terminal = \n " , _status) ## 마지막 노드 hiddens =
tensor([[[ 0.1544, -0.2467, 0.3004, 0.3619],
[ 0.0407, -0.3659, 0.1003, 0.5680],
[-0.0306, -0.4653, -0.2222, 0.4361],
[ 0.0475, -0.2338, 0.0348, 0.1952],
[-0.0091, -0.4193, -0.1508, 0.3911]]], grad_fn=<TransposeBackward1>)
terminal =
tensor([[[-0.0091, -0.4193, -0.1508, 0.3911]]], grad_fn=<StackBackward0>)
2개 이상의 RNN layer
inputs = torch.Tensor( 1 , 5 , 2 ) # (batch_size, time_steps, input_size) cell = nn.RNN( input_size = 2 , hidden_size = 6 , num_layers = 2 , batch_first = True )
outputs, _status = cell(inputs) print ( "hidden shape = \n " , outputs) ## 모든 노드 print () print ( "terminal = \n " ,_status) ## 마지막 노드
print ( "_status[0] = \n " , _status[ 0 ]) ## first layer 마지막 노드 print ( "_status[1] = \n " , _status[ 1 ]) ## second layer 마지막 노드 hidden shape =
tensor([[[-0.0987, -0.6732, -0.4266, 0.0146, -0.0286, 0.3485],
[-0.2571, -0.7404, -0.3544, 0.1276, -0.0586, 0.5508],
[-0.1535, -0.6743, -0.2998, -0.0404, -0.1162, 0.5495],
[-0.1249, -0.7686, -0.3432, 0.0732, -0.0550, 0.5247],
[-0.1860, -0.7401, -0.3549, 0.0213, -0.0958, 0.5711]]],
grad_fn=<TransposeBackward1>)
terminal =
tensor([[[ 0.6543, -0.5262, 0.0933, -0.8319, 0.3218, -0.0678]],
[[-0.1860, -0.7401, -0.3549, 0.0213, -0.0958, 0.5711]]],
grad_fn=<StackBackward0>)
_status[0] =
tensor([[ 0.6543, -0.5262, 0.0933, -0.8319, 0.3218, -0.0678]],
grad_fn=<SelectBackward0>)
_status[1] =
tensor([[-0.1860, -0.7401, -0.3549, 0.0213, -0.0958, 0.5711]],
grad_fn=<SelectBackward0>)
문자단위 RNN input_str = 'apple' label_str = 'pple!' Vocab set
# 1. Vocab set char_vocab = sorted ( list ( set (input_str + label_str))) vocab_size = len (char_vocab) print ( '문자 집합의 크기 : {} ' .format(vocab_size)) print (char_vocab) 문자 집합의 크기 : 5
['!', 'a', 'e', 'l', 'p']
문자 집합에 고유한 정수를 부여
# 2. 문자 집합에 고유한 정수를 부여 char_to_index = dict ((c, i) for i, c in enumerate (char_vocab)) # 문자에 고유한 정수 인덱스 부여 print (char_to_index)
index_to_char = dict ((i, c) for i, c in enumerate (char_vocab)) # 문자에 고유한 정수 인덱스 부여 print (index_to_char) {'!': 0, 'a': 1, 'e': 2, 'l': 3, 'p': 4}
{0: '!', 1: 'a', 2: 'e', 3: 'l', 4: 'p'}
Label encoding 만들기
# 3. Label encoding x_data = [char_to_index[c] for c in input_str] y_data = [char_to_index[c] for c in label_str] print (x_data) print (y_data) [1, 4, 4, 3, 2]
[4, 4, 3, 2, 0]
# 배치 차원 추가 x_data = [x_data] y_data = [y_data] print (x_data) print (y_data) [[1, 4, 4, 3, 2]]
[[4, 4, 3, 2, 0]]
Onehot encoding
# 4. Onehot encoding # x_one_hot = [np.eye(vocab_size)[x] for x in x_data] x_one_hot = np.eye(vocab_size)[x_data] print (x_one_hot) [[[0. 1. 0. 0. 0.]
[0. 0. 0. 0. 1.]
[0. 0. 0. 0. 1.]
[0. 0. 0. 1. 0.]
[0. 0. 1. 0. 0.]]]
X = torch.FloatTensor(x_one_hot) Y = torch.LongTensor(y_data) print ( '훈련 데이터의 크기 : {} ' .format(X.shape)) print ( '레이블의 크기 : {} ' .format(Y.shape)) print ( "X = \n " , X) print ( "Y = \n " , Y) 훈련 데이터의 크기 : torch.Size([1, 5, 5])
레이블의 크기 : torch.Size([1, 5])
X =
tensor([[[0., 1., 0., 0., 0.],
[0., 0., 0., 0., 1.],
[0., 0., 0., 0., 1.],
[0., 0., 0., 1., 0.],
[0., 0., 1., 0., 0.]]])
Y =
tensor([[4, 4, 3, 2, 0]])
RNN 모델 만들기
input_size = vocab_size # 입력의 크기는 문자 집합의 크기 hidden_size = 6 output_size = 5 learning_rate = 0.1 class VanillaRNN ( nn . Module ): def __init__ (self, input_size, hidden_size, output_size): super (VanillaRNN, self ). __init__ () self .rnn = nn.RNN(input_size, hidden_size, batch_first = True ) # RNN 셀 구현 self .fc = nn.Linear(hidden_size, output_size, bias = True ) # 출력층 구현
def forward (self, x): # 구현한 RNN 셀과 출력층을 연결 x, _status = self .rnn(x) x = self .fc(x) return x net = VanillaRNN(input_size, hidden_size, output_size) Output 크기
outputs = net(X) # X.shape = torch.Size([1, 5, 5]) print (outputs.shape) # 3차원 텐서 print (outputs) torch.Size([1, 5, 5])
tensor([[[ 0.1416, -0.0020, 0.1332, 0.0077, -0.0202],
[-0.3027, -0.1178, 0.1346, -0.0147, 0.0964],
[-0.2770, -0.0168, 0.1117, -0.2443, 0.1217],
[ 0.0175, 0.0066, 0.0873, -0.0874, 0.0303],
[-0.0669, 0.2396, 0.1866, 0.0601, 0.2300]]],
grad_fn=<ViewBackward0>)
print (outputs) print (Y) tensor([[[ 0.3650, 0.7164, -0.0127, 0.1906, -0.3810],
[ 0.3215, 0.6482, -0.0727, 0.2921, -0.0229],
[ 0.4450, 0.6361, -0.2579, 0.3304, 0.0214],
[ 0.5763, 0.4344, -0.1728, 0.3319, -0.4698],
[ 0.2496, 0.8205, 0.1673, 0.0787, -0.2713]]],
grad_fn=<ViewBackward0>)
tensor([[4, 4, 3, 2, 0]])
print (outputs.view( - 1 , input_size)) # 2차원 텐서로 변환 print (Y.view( - 1 )) tensor([[ 0.1416, -0.0020, 0.1332, 0.0077, -0.0202],
[-0.3027, -0.1178, 0.1346, -0.0147, 0.0964],
[-0.2770, -0.0168, 0.1117, -0.2443, 0.1217],
[ 0.0175, 0.0066, 0.0873, -0.0874, 0.0303],
[-0.0669, 0.2396, 0.1866, 0.0601, 0.2300]],
grad_fn=<ViewBackward0>)
tensor([4, 4, 3, 2, 0])
Loss function, optimizer 정의
criterion = nn.CrossEntropyLoss() optimizer = optim.Adam(net.parameters(), learning_rate) RNN 모델 학습
# output shape = (1, 5, 5) # Y shape = (1, 5)
for i in range ( 100 ): outputs = net(X) loss = criterion(outputs.view( - 1 , output_size), Y.view( - 1 )) # view를 하는 이유는 Batch 차원 제거를 위해, CrossEntropyLoss: outputs should be (N, C), and Y should be (N, )
optimizer.zero_grad() loss.backward() # 기울기 계산 optimizer.step() # 아까 optimizer 선언 시 넣어둔 파라미터 업데이트
# 아래 세 줄은 모델이 실제 어떻게 예측했는지를 확인하기 위한 코드. result = outputs.argmax( axis = 2 ) # 최종 예측값인 각 time-step 별 5차원 벡터에 대해서 가장 높은 값의 인덱스를 선택 result_str = '' .join([index_to_char[c] for c in np.squeeze(result.numpy())]) # np.squeeze(result.numpy()) : 1d vector print (i, "loss: " , round (loss.item(), 3 ), "prediction: " , result, "true Y: " , y_data, "prediction str: " , result_str) 0 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
1 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
2 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
3 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
4 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
5 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
6 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
7 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
8 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
9 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
10 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
11 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
12 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
13 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
14 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
15 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
16 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
17 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
18 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
19 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
20 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
21 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
22 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
23 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
24 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
25 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
26 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
27 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
28 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
29 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
30 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
31 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
32 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
33 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
34 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
35 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
36 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
37 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
38 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
39 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
40 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
41 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
42 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
43 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
44 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
45 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
46 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
47 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
48 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
49 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
50 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
51 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
52 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
53 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
54 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
55 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
56 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
57 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
58 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
59 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
60 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
61 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
62 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
63 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
64 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
65 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
66 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
67 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
68 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
69 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
70 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
71 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
72 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
73 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
74 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
75 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
76 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
77 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
78 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
79 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
80 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
81 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
82 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
83 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
84 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
85 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
86 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
87 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
88 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
89 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
90 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
91 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
92 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
93 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
94 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
95 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
96 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
97 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
98 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
99 loss: 0.0 prediction: tensor([[4, 4, 3, 2, 0]]) true Y: [[4, 4, 3, 2, 0]] prediction str: pple!
한글을 이용한 RNN
# text = "공복에 드셔야 흡수가 잘되기 때문입니다. 공복에 드셨을 때 소화가 잘 되지 않는 분들은 식후에 드시는 것이 좋아요. 생들기름은 성인 기준으로 하루 5g정도 드시면 충분합니다. 숟가락에 따랐을 때 반절이면 5g이에요." text = "안녕하세요 여러분" input_str_kr = text label_str_kr = text[ 1 :] + "!"
print (input_str_kr) print (label_str_kr)
# input_str_kr = '안녕하세요 여러분' # label_str_kr = '녕하세요 여러분!' 안녕하세요 여러분
녕하세요 여러분!
## 1. Vocabulary set voc_set = set (input_str_kr + label_str_kr) char_vocab = sorted ( list (voc_set)) vocab_size = len (char_vocab) print ( '문자 집합의 크기 : {} ' .format(vocab_size)) print ( "Vocabulary set = " , voc_set) print ( "=" * 50 ) 문자 집합의 크기 : 10
Vocabulary set = {'요', '러', '분', '녕', '여', '세', ' ', '!', '하', '안'}
==================================================
# 2. 문자 집합에 고유한 정수를 부여 char_to_index = dict ((c, i) for i, c in enumerate (char_vocab)) # 문자에 고유한 정수 인덱스 부여 print ( "Char to index = \n " , char_to_index)
index_to_char = dict ((i, c) for i, c in enumerate (char_vocab)) # 문자에 고유한 정수 인덱스 부여 print ( "Idx to char = \n " ,index_to_char) print ( "=" * 50 ) Char to index =
{' ': 0, '!': 1, '녕': 2, '러': 3, '분': 4, '세': 5, '안': 6, '여': 7, '요': 8, '하': 9}
Idx to char =
{0: ' ', 1: '!', 2: '녕', 3: '러', 4: '분', 5: '세', 6: '안', 7: '여', 8: '요', 9: '하'}
==================================================
# 3. Label encoding x_data = [char_to_index[c] for c in input_str_kr] y_data = [char_to_index[c] for c in label_str_kr]
# 배치 차원 추가 x_data = [x_data] y_data = [y_data]
print ( "Label encoding = \n " ) print ( "input_str = \n " , x_data) print ( "output_str = \n " ,y_data) print ( "=" * 50 ) Label encoding =
input_str =
[[6, 2, 9, 5, 8, 0, 7, 3, 4]]
output_str =
[[2, 9, 5, 8, 0, 7, 3, 4, 1]]
==================================================
# 4. Onehot encoding print ( 'input_str One hot encoding =' ) # x_one_hot = [np.eye(vocab_size)[x] for x in x_data] x_one_hot = np.eye(vocab_size)[x_data] print (x_one_hot) input_str One hot encoding =
[[[0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
[0. 0. 1. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
[0. 0. 0. 0. 0. 1. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 1. 0.]
[1. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 1. 0. 0.]
[0. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]]]
# 5. Tensor vector X = torch.FloatTensor(x_one_hot) Y = torch.LongTensor(y_data) print ( '훈련 데이터의 크기 : {} ' .format(X.shape)) print ( '레이블의 크기 : {} ' .format(Y.shape)) print (X) print (Y) 훈련 데이터의 크기 : torch.Size([1, 9, 10])
레이블의 크기 : torch.Size([1, 9])
tensor([[[0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],
[0., 0., 1., 0., 0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],
[0., 0., 0., 0., 0., 1., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],
[1., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],
[0., 0., 0., 1., 0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 1., 0., 0., 0., 0., 0.]]])
tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]])
# 5. Model vocab_size = len (char_vocab) input_size = vocab_size # 입력의 크기는 문자 집합의 크기 hidden_size = 20 output_size = vocab_size learning_rate = 0.1
class VanillaRNN_Kor ( nn . Module ): def __init__ (self, input_size, hidden_size, output_size): super (VanillaRNN_Kor, self ). __init__ () self .rnn = torch.nn.RNN(input_size, hidden_size, batch_first = True ) # RNN 셀 구현 self .fc = torch.nn.Linear(hidden_size, output_size, bias = True ) # 출력층 구현
def forward (self, x): # 구현한 RNN 셀과 출력층을 연결 x, _status = self .rnn(x) x = self .fc(x) return x
net = VanillaRNN_Kor(input_size, hidden_size, output_size) print ( "RNN parameters = \n " , net.parameters) # list(net.parameters())
outputs = net(X) print (outputs.shape) # 3차원 텐서 # print(outputs) criterion = torch.nn.CrossEntropyLoss() optimizer = optim.Adam(net.parameters(), learning_rate)
for i in range ( 100 ): outputs = net(X) loss = criterion(outputs.view( - 1 , input_size), Y.view( - 1 )) # view를 하는 이유는 Batch 차원 제거를 위해 # loss = criterion(outputs, Y) # view를 하는 이유는 Batch 차원 제거를 위해, doesnot work
optimizer.zero_grad() loss.backward() # 기울기 계산 optimizer.step() # 아까 optimizer 선언 시 넣어둔 파라미터 업데이트
# 아래 세 줄은 모델이 실제 어떻게 예측했는지를 확인하기 위한 코드. result = outputs.argmax( axis = 2 ) # 최종 예측값인 각 time-step 별 5차원 벡터에 대해서 가장 높은 값의 인덱스를 선택 result_str = '' .join([index_to_char[c] for c in np.squeeze(result.numpy())]) # np.squeeze(result.numpy()) : 1d vector print (i, "loss: " , loss.item(), "prediction: " , result, "true Y: " , y_data, "prediction str: " , result_str) RNN parameters =
<bound method Module.parameters of VanillaRNN_Kor(
(rnn): RNN(10, 20, batch_first=True)
(fc): Linear(in_features=20, out_features=10, bias=True)
)>
torch.Size([1, 9, 10])
0 loss: 2.2905445098876953 prediction: tensor([[8, 1, 1, 1, 8, 7, 8, 8, 8]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 요!!!요여요요요
1 loss: 1.9417288303375244 prediction: tensor([[3, 9, 7, 7, 0, 7, 7, 7, 7]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 러하여여 여여여여
2 loss: 1.3427523374557495 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 9, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러하!
3 loss: 0.6551940441131592 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
4 loss: 0.22501195967197418 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
5 loss: 0.07384788990020752 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
6 loss: 0.027078425511717796 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
7 loss: 0.011597594246268272 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
8 loss: 0.005739525426179171 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
9 loss: 0.0031857499852776527 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
10 loss: 0.0019389488734304905 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
11 loss: 0.00127002177760005 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
12 loss: 0.0008811643347144127 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
13 loss: 0.0006393386283889413 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
14 loss: 0.000480061920825392 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
15 loss: 0.000370307156117633 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
16 loss: 0.00029168950277380645 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
17 loss: 0.00023355244775302708 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
18 loss: 0.00018953466496896 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
19 loss: 0.00015568113303743303 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
20 loss: 0.00012931933451909572 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
21 loss: 0.00010866307275136933 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
22 loss: 9.233588934876025e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
23 loss: 7.954380271257833e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
24 loss: 6.945282802917063e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
25 loss: 6.140103505458683e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
26 loss: 5.499126564245671e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
27 loss: 4.982627433491871e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
28 loss: 4.558827276923694e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
29 loss: 4.206539233564399e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
30 loss: 3.913846376235597e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
31 loss: 3.655584805528633e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
32 loss: 3.442351953708567e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
33 loss: 3.255607225582935e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
34 loss: 3.0900522688170895e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
35 loss: 2.9443626772263087e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
36 loss: 2.8158912755316123e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
37 loss: 2.69933880190365e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
38 loss: 2.5907327653840184e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
39 loss: 2.4980205125757493e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
40 loss: 2.4092809326248243e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
41 loss: 2.3258391593117267e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
42 loss: 2.2543175873579457e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
43 loss: 2.1854448277736083e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
44 loss: 2.1218695110292174e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
45 loss: 2.0675659470725805e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
46 loss: 2.0159110135864466e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
47 loss: 1.9642558982013725e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
48 loss: 1.917898771353066e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
49 loss: 1.874191002571024e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
50 loss: 1.8357806766289286e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
51 loss: 1.800019344955217e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
52 loss: 1.7616090190131217e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
53 loss: 1.729821269691456e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
54 loss: 1.6967089322861284e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
55 loss: 1.6675699953339063e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
56 loss: 1.6410798707511276e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
57 loss: 1.6119409337989055e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
58 loss: 1.589424573467113e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
59 loss: 1.565583261253778e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
60 loss: 1.5430669009219855e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
61 loss: 1.520550449640723e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
62 loss: 1.500682901678374e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
63 loss: 1.4834644389338791e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
64 loss: 1.4635967090725899e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
65 loss: 1.4477027434622869e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
66 loss: 1.430484280717792e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
67 loss: 1.4172393093758728e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
68 loss: 1.4013450709171593e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
69 loss: 1.3828020200890023e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
70 loss: 1.3682325516128913e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
71 loss: 1.3496893188857939e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
72 loss: 1.3377688446780667e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
73 loss: 1.3231991943030152e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
74 loss: 1.31260321722948e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
75 loss: 1.3020072401559446e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
76 loss: 1.2887620869150851e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
77 loss: 1.2781661098415498e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
78 loss: 1.2649209566006903e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
79 loss: 1.2543248885776848e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
80 loss: 1.2437288205546793e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
81 loss: 1.2344572496658657e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
82 loss: 1.2238611816428602e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
83 loss: 1.2159141078882385e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
84 loss: 1.2092917131667491e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
85 loss: 1.1960464689764194e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
86 loss: 1.1880993952217977e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
87 loss: 1.1801524124166463e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
88 loss: 1.1708808415278327e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
89 loss: 1.1642581739579327e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
90 loss: 1.1549866030691192e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
91 loss: 1.1483642083476298e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
92 loss: 1.1404171345930081e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
93 loss: 1.1324700608383864e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
94 loss: 1.1258475751674268e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
95 loss: 1.1192250894964673e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
96 loss: 1.1112779247923754e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
97 loss: 1.1073044333897997e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
98 loss: 1.1006819477188401e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
99 loss: 1.0940592801489402e-05 prediction: tensor([[2, 9, 5, 8, 0, 7, 3, 4, 1]]) true Y: [[2, 9, 5, 8, 0, 7, 3, 4, 1]] prediction str: 녕하세요 여러분!
LSTM을 이용한 네이버 영화 리뷰 분류
import pandas as pd from urllib import request LSTM 모델 확인하기
## parameter input_dim = 5 hidden_size = 3
# (batch_size, time_steps, input_size) inputs = torch.rand( 1 , 3 , 5 ) print (inputs) print (inputs.dtype) tensor([[[0.7100, 0.9957, 0.4907, 0.9389, 0.7806],
[0.3214, 0.4088, 0.0813, 0.1504, 0.1035],
[0.4708, 0.6658, 0.8689, 0.5481, 0.7580]]])
torch.float32
input_dim = 5 hidden_size = 3 lstm = nn.LSTM(input_dim, hidden_size, batch_first = True ) lstm = nn.LSTM(input_dim, hidden_size, batch_first = True ) print ( list (lstm.parameters())) [Parameter containing:
tensor([[ 0.5397, 0.5626, 0.3286, 0.3228, 0.2959],
[ 0.0164, -0.2817, -0.3701, -0.3762, 0.5716],
[ 0.2709, -0.1316, -0.2345, 0.3070, -0.0737],
[-0.5672, 0.5385, 0.0761, -0.2042, 0.1676],
[ 0.0562, -0.2714, 0.2077, 0.3398, -0.0219],
[-0.1687, 0.1323, -0.2917, 0.5124, 0.2712],
[-0.2456, -0.2141, 0.5528, 0.5555, 0.1807],
[-0.5257, -0.1093, 0.0794, 0.4418, 0.4990],
[ 0.1540, 0.5476, 0.5192, 0.3305, 0.3985],
[-0.4080, 0.1440, -0.2368, 0.4245, -0.5680],
[-0.1213, -0.3567, 0.1859, 0.3139, 0.2983],
[ 0.5680, -0.4044, 0.0663, -0.1984, 0.2319]], requires_grad=True), Parameter containing:
tensor([[-0.0327, -0.2666, -0.3233],
[ 0.0801, -0.3055, -0.4298],
[ 0.4196, -0.4396, -0.5388],
[-0.4854, -0.3523, -0.5207],
[-0.0070, -0.3771, -0.0437],
[-0.4638, 0.0256, -0.3320],
[ 0.2137, 0.5540, -0.2854],
[-0.1279, 0.5377, 0.1945],
[-0.3493, -0.1414, -0.4543],
[ 0.4033, -0.0952, 0.2715],
[ 0.5465, -0.2416, -0.4925],
[ 0.4804, 0.4602, 0.5591]], requires_grad=True), Parameter containing:
tensor([ 0.3275, -0.1922, 0.4263, 0.3348, 0.0428, 0.4898, 0.2103, -0.4981,
0.3870, -0.2937, -0.3315, -0.3669], requires_grad=True), Parameter containing:
tensor([ 0.0531, 0.0546, -0.1629, -0.4639, 0.2123, 0.3096, 0.0634, -0.1233,
0.2790, -0.3386, 0.3839, 0.5220], requires_grad=True)]
데이터 다운 로드
# 데이터 로드하기 # 각 각 ratings_train.txt, ratings_test.txt 저장 request.urlretrieve( "https://raw.githubusercontent.com/e9t/nsmc/master/ratings_train.txt" , filename = "ratings_train.txt" ) request.urlretrieve( "https://raw.githubusercontent.com/e9t/nsmc/master/ratings_test.txt" , filename = "ratings_test.txt" ) ('ratings_test.txt', <http.client.HTTPMessage at 0x2c0172d5550>)
train_data = pd.read_table( 'ratings_train.txt' , sep = " \t " , nrows = 10000 ) test_data = pd.read_table( 'ratings_test.txt' , sep = " \t " , nrows = 10000 ) print ( '총 샘플의 수 :' , len (train_data)) train_data.head() 총 샘플의 수 : 10000
id document label 0 9976970 아 더빙.. 진짜 짜증나네요 목소리 0 1 3819312 흠...포스터보고 초딩영화줄....오버연기조차 가볍지 않구나 1 2 10265843 너무재밓었다그래서보는것을추천한다 0 3 9045019 교도소 이야기구먼 ..솔직히 재미는 없다..평점 조정 0 4 6483659 사이몬페그의 익살스런 연기가 돋보였던 영화!스파이더맨에서 늙어보이기만 했던 커스틴 ... 1
데이터 전처리
train_data.dropna( inplace = True , how = "any" ) train_data.drop_duplicates( subset = [ 'document' ], inplace = True ) print ( '총 샘플의 수 :' , len (train_data)) train_data.head() 총 샘플의 수 : 9918
id document label 0 9976970 아 더빙.. 진짜 짜증나네요 목소리 0 1 3819312 흠...포스터보고 초딩영화줄....오버연기조차 가볍지 않구나 1 2 10265843 너무재밓었다그래서보는것을추천한다 0 3 9045019 교도소 이야기구먼 ..솔직히 재미는 없다..평점 조정 0 4 6483659 사이몬페그의 익살스런 연기가 돋보였던 영화!스파이더맨에서 늙어보이기만 했던 커스틴 ... 1
### 한글과 공백을 제외하고 모두 제거 train_data[ 'document' ] = train_data[ 'document' ].str.replace( "[^ㄱ-ㅎㅏ-ㅣ가-힣 ]" , " " , regex = True ) train_data.head()
id document label 0 9976970 아 더빙 진짜 짜증나네요 목소리 0 1 3819312 흠 포스터보고 초딩영화줄 오버연기조차 가볍지 않구나 1 2 10265843 너무재밓었다그래서보는것을추천한다 0 3 9045019 교도소 이야기구먼 솔직히 재미는 없다 평점 조정 0 4 6483659 사이몬페그의 익살스런 연기가 돋보였던 영화 스파이더맨에서 늙어보이기만 했던 커스틴 ... 1
### 빈자료 제거 train_data[ 'document' ] = train_data[ 'document' ].str.strip() train_data[ 'document' ] = train_data[ 'document' ].replace( '' , np.nan) train_data.dropna( how = 'any' , inplace = True ) print (train_data.isnull().sum()) print (train_data.shape) # (145393, 3) id 0
document 0
label 0
dtype: int64
(9858, 3)
토큰화 (Tokenizing)
! pip install konlpy from konlpy.tag import Okt from tqdm import tqdm stopwords = [ '도' , '는' , '다' , '의' , '가' , '이' , '은' , '한' , '에' , '하' , '고' , '을' , '를' , '인' , '듯' , '과' , '와' , '네' , '들' , '듯' , '지' , '임' , '게' ] okt = Okt() okt.morphs( "교도소 이야기구먼 솔직히 재미는 없다평점 조정" ) ['교도소', '이야기', '구먼', '솔직히', '재미', '는', '없다', '평점', '조정']
X_data = [] for sentence in tqdm(train_data[ 'document' ]): tokenized_sentence = okt.morphs(sentence, stem = True ) # 토큰화 stopwords_removed_sentence = [word for word in tokenized_sentence if not word in stopwords] # 불용어 제거 X_data.append(stopwords_removed_sentence) 100%|██████████| 9858/9858 [00:46<00:00, 211.89it/s]
y_data = train_data[ 'label' ]
print ( len (X_data)) print ( len (y_data))
print (X_data[: 5 ]) print (y_data[: 5 ]) 9858
9858
[['아', '더빙', '진짜', '짜증나다', '목소리'], ['흠', '포스터', '보고', '초딩', '영화', '줄', '오버', '연기', '조차', '가볍다', '않다'], ['너', '무재', '밓었', '다그', '래서', '보다', '추천'], ['교도소', '이야기', '구먼', '솔직하다', '재미', '없다', '평점', '조정'], ['사이', '몬페', '그', '익살스럽다', '연기', '돋보이다', '영화', '스파이더맨', '에서', '늙다', '보이다', '하다', '커스틴', '던스트', '너무나도', '이쁘다', '보이다']]
0 0
1 1
2 0
3 0
4 1
Name: label, dtype: int64
학습데이터, 검증데이터
from sklearn.model_selection import train_test_split
X_train, X_valid, y_train, y_valid = train_test_split(X_data, y_data, test_size = 0.2 , random_state = 0 , stratify = y_data) print ( "X_train shape = " , len (X_train)) print ( "X_valid shape = " , len (X_valid)) print ( "y_train shape = " , len (y_train)) print ( "y_valid shape = " , len (y_valid)) X_train shape = 7886
X_valid shape = 1972
y_train shape = 7886
y_valid shape = 1972
단어 집합 만들기
from collections import Counter
word_list = [] for sent in X_train: for word in sent: word_list.append(word)
word_counts = Counter(word_list) # == len(set(word_list)) print ( '총 단어수 :' , len (word_counts)) display(word_counts) 총 단어수 : 10876
Counter({'영화': 2678,
'보다': 2244,
'하다': 2241,
'없다': 858,
'이다': 733,
'있다': 675,
'좋다': 579,
'정말': 537,
'너무': 526,
'만': 497,
'재밌다': 477,
'같다': 471,
'점': 466,
'되다': 461,
'적': 456,
'진짜': 440,
'아니다': 420,
'으로': 416,
'로': 406,
'않다': 385,
'나오다': 364,
'연기': 363,
'에서': 362,
'만들다': 335,
'평점': 334,
'나': 323,
'최고': 322,
'것': 322,
'내': 318,
'안': 317,
'그': 310,
'못': 293,
'사람': 280,
'스토리': 274,
'드라마': 273,
'왜': 271,
'보고': 265,
'감동': 258,
'생각': 255,
'감독': 249,
'말': 248,
'이렇다': 247,
'때': 246,
'ㅋㅋ': 238,
'그냥': 237,
'아깝다': 236,
'아': 234,
'거': 229,
'재미없다': 224,
'시간': 223,
'배우': 217,
'더': 215,
'내용': 213,
'중': 213,
'재미': 211,
'요': 211,
'자다': 204,
'지루하다': 200,
'가다': 196,
'까지': 194,
'재미있다': 192,
'하고': 191,
'뭐': 187,
'들다': 185,
'모르다': 183,
'주다': 182,
'작품': 181,
'쓰레기': 179,
'수': 175,
'좀': 171,
'알다': 166,
'사랑': 158,
'하나': 158,
'볼': 157,
'싶다': 157,
'이건': 152,
'ㅋ': 150,
'잘': 149,
'마지막': 146,
'정도': 146,
'그렇다': 146,
'개': 145,
'차다': 139,
'액션': 138,
'연출': 138,
'돈': 138,
'이렇게': 135,
'저': 134,
'다시': 134,
'걸': 132,
'주인공': 131,
'최악': 130,
'안되다': 130,
'지금': 128,
'완전': 127,
'기': 127,
'많다': 124,
'나다': 124,
'받다': 123,
'느낌': 123,
'오다': 122,
'처음': 121,
'장면': 120,
'ㅠㅠ': 120,
'역시': 119,
'ㅋㅋㅋ': 117,
'별': 116,
'명작': 116,
'이야기': 114,
'인데': 112,
'라': 112,
'넘다': 110,
'별로': 110,
'부터': 110,
'일': 109,
'ㅡㅡ': 108,
'면': 106,
'먹다': 106,
'남다': 105,
'이나': 105,
'좋아하다': 101,
'꼭': 101,
'괜찮다': 100,
'년': 100,
'버리다': 99,
'또': 99,
'아름답다': 98,
'인생': 97,
'이해': 97,
'끝': 97,
'난': 95,
'느끼다': 95,
'라고': 95,
'이영화': 95,
'이런': 94,
'무슨': 92,
'그리고': 92,
'멋지다': 92,
'해주다': 91,
'야': 90,
'서': 90,
'전': 90,
'줄': 89,
'많이': 89,
'마음': 88,
'대': 87,
'한번': 87,
'여': 87,
'때문': 87,
'결말': 87,
'허다': 86,
'알': 86,
'가슴': 86,
'어떻다': 85,
'편': 85,
'분': 85,
'소재': 85,
'에게': 85,
'뻔하다': 85,
'엔': 84,
'두': 84,
'어리다': 84,
'없이': 81,
'영': 81,
'라는': 81,
'이고': 81,
'성': 80,
'속': 80,
'되어다': 80,
'씨': 80,
'인간': 79,
'모든': 79,
'가장': 79,
'아쉽다': 79,
'죽다': 78,
'냐': 78,
'랑': 78,
'지만': 76,
'기억': 76,
'끝나다': 76,
'ㅠ': 76,
'짱': 75,
'보기': 75,
'끄다': 74,
'뿐': 74,
'웃기다': 74,
'님': 74,
'남자': 74,
'유치하다': 74,
'크다': 74,
'솔직하다': 73,
'ㅎㅎ': 73,
'매력': 73,
'하지만': 73,
'보여주다': 72,
'쓰다': 72,
'늘다': 71,
'니': 71,
'높다': 70,
'자체': 70,
'애': 69,
'실망': 69,
'여자': 69,
'캐릭터': 69,
'수준': 69,
'번': 69,
'반전': 68,
'전개': 68,
'화': 68,
'무섭다': 68,
'제': 67,
'본': 67,
'우리': 67,
'살다': 66,
'찍다': 66,
'지다': 65,
'현실': 65,
'급': 65,
'추천': 64,
'공감': 63,
'낮다': 63,
'대한': 63,
'맞다': 63,
'재다': 62,
'이상': 62,
'ㅋㅋㅋㅋ': 61,
'함': 61,
'개봉': 61,
'뭔가': 60,
'눈물': 60,
'인지': 60,
'대단하다': 59,
'계속': 59,
'코미디': 59,
'음악': 59,
'눈': 58,
'슬프다': 58,
'전혀': 58,
'이라': 58,
'근데': 58,
'다른': 58,
'짜증나다': 58,
'움': 58,
'돼다': 58,
'빠지다': 58,
'말다': 57,
'제목': 57,
'밖에': 57,
'처럼': 57,
'기대하다': 57,
'건지다': 57,
'인가': 56,
'미치다': 56,
'ㅜㅜ': 56,
'욕': 56,
'중간': 55,
'기분': 55,
'여운': 55,
'시리즈': 54,
'이란': 53,
'표현': 53,
'야하다': 53,
'연기력': 53,
'이네': 52,
'감': 52,
'내내': 52,
'잇다': 52,
'뭔': 52,
'내다': 52,
'굿': 52,
'모두': 51,
'믿다': 51,
'이제': 51,
'보이다': 51,
'이라는': 51,
'자': 50,
'일본': 50,
'작가': 50,
'잼': 49,
'이쁘다': 49,
'원작': 49,
'몰입': 49,
'아이': 48,
'영상': 48,
'연': 48,
'에는': 48,
'이유': 48,
'ㅡ': 48,
'오랜': 48,
'막장': 48,
'걍': 48,
'위': 48,
'가족': 47,
'작': 47,
'아주': 47,
'한국': 47,
'나름': 47,
'노잼': 47,
'아직도': 47,
'절대': 47,
'력': 47,
'특히': 47,
'점도': 47,
'요즘': 47,
'후': 47,
'스릴러': 46,
'이딴': 46,
'긴장감': 46,
'웃다': 46,
'수작': 46,
'딱': 46,
'이랑': 46,
'대박': 46,
'졸작': 45,
'시키다': 45,
'어': 45,
'그래도': 45,
'치다': 45,
'애니': 45,
'잔잔하다': 45,
'너': 45,
'친구': 45,
'기대': 45,
'깊다': 45,
'귀엽다': 45,
'ㅎ': 45,
'짜다': 45,
'찾다': 44,
'느껴지다': 44,
'물': 44,
'진심': 44,
'이라고': 44,
'아프다': 44,
'설정': 44,
'접': 43,
'모습': 43,
'떨어지다': 43,
'건': 43,
'삶': 43,
'보지': 43,
'앞': 43,
'부분': 43,
'인상': 42,
'문제': 42,
'조금': 42,
'용': 42,
'당시': 42,
'개인': 42,
'놈': 42,
'스럽다': 42,
'빼다': 42,
'포스터': 41,
'한국영': 41,
'따뜻하다': 41,
'자신': 41,
'몇': 41,
'울다': 41,
'멋있다': 41,
'알바': 40,
'년대': 40,
'배경': 40,
'추억': 40,
'점수': 39,
'초반': 39,
'해보다': 39,
'무엇': 39,
'정신': 39,
'필요없다': 39,
'나가다': 39,
'써다': 39,
'데': 39,
'류': 38,
'에도': 38,
'의미': 38,
'신선하다': 38,
'가지': 38,
'예쁘다': 38,
'제대로': 38,
'세': 37,
'식': 37,
'시': 37,
'우리나라': 37,
'같이': 37,
'웃음': 37,
'제일': 37,
'더럽다': 37,
'안타깝다': 37,
'극장': 37,
'노래': 37,
'영화로': 36,
'쓸다': 36,
'시나리오': 36,
'한테': 36,
'대사': 36,
'캐스팅': 36,
'질': 36,
'결국': 36,
'라면': 35,
'반': 35,
'공포': 35,
'이지': 35,
'티비': 35,
'보단': 35,
'따다': 35,
'이상하다': 35,
'나이': 35,
'세상': 35,
'기다': 35,
'웃기': 35,
'대다': 35,
'도대체': 35,
'책': 35,
'사실': 35,
'시작': 35,
'시대': 35,
'엄청': 35,
'장난': 35,
'원': 35,
'부족하다': 34,
'마다': 34,
'이지만': 34,
'대해': 34,
'최고다': 34,
'맘': 33,
'기도': 33,
'봄': 33,
'평가': 33,
'상': 33,
'엄마': 33,
'충분하다': 33,
'훌륭하다': 33,
'뭘': 33,
'함께': 33,
'이후': 33,
'죽이다': 33,
'두다': 33,
'첨': 33,
'완벽하다': 33,
'음': 33,
'그저': 32,
'이야': 32,
'몰입도': 32,
'아무': 32,
'답답하다': 32,
'쯤': 32,
'배우다': 32,
'공포영화': 32,
'엉': 32,
'영화관': 32,
'오': 32,
'비다': 31,
'집': 31,
'망하다': 31,
'살리다': 31,
'극': 31,
'놀라다': 31,
'매우': 31,
'누구': 31,
'전쟁': 31,
'남': 31,
'얼마나': 31,
'낫다': 31,
'드리다': 31,
'그리다': 30,
'해': 30,
'돌리다': 30,
'씬': 30,
'차라리': 30,
'이라도': 30,
'어설프다': 30,
'누가': 30,
'실화': 30,
'관객': 30,
'팬': 30,
'간': 30,
'억': 30,
'엔딩': 30,
'새롭다': 29,
'한마디': 29,
'꽤': 29,
'영화인': 29,
'필요하다': 29,
'미국': 29,
'읽다': 29,
'힘들다': 29,
'어색하다': 29,
'위해': 29,
'등': 29,
'출연': 29,
'후회': 29,
'어디': 29,
'아직': 29,
'코믹': 29,
'어울리다': 29,
'건가': 29,
'유쾌하다': 29,
'그렇게': 28,
'싫다': 28,
'킬링타임': 28,
'서다': 28,
'소리': 28,
'구': 28,
'그대로': 28,
'분위기': 28,
'만큼': 28,
'이르다': 28,
'분들': 28,
'밉다': 28,
'코': 28,
'오늘': 28,
'생기다': 28,
'그나마': 28,
'대체': 27,
'스릴': 27,
'전부': 27,
'그것': 27,
'장르': 27,
'충격': 27,
'소름': 27,
'갈수록': 27,
'역사': 27,
'구성': 27,
'탄탄하다': 27,
'잔인하다': 27,
'심하다': 27,
'회': 27,
'애니메이션': 27,
'명': 27,
'놓다': 27,
'살': 27,
'부': 26,
'바라다': 26,
'생각나다': 26,
'훨씬': 26,
'옛날': 26,
'여기': 26,
'준': 26,
'흥행': 26,
'년도': 26,
'여배우': 26,
'로맨스': 26,
'중국': 26,
'뒤': 26,
'시절': 26,
'행복하다': 26,
'좀비': 26,
'라니': 26,
'해도': 26,
'화려하다': 26,
'어이없다': 26,
'주연': 25,
'떠나다': 25,
'머리': 25,
'예술': 25,
'쉬다': 25,
'작다': 25,
'날': 25,
'오글거리다': 25,
'만점': 25,
'멀다': 25,
'돋다': 25,
'어느': 25,
'총': 25,
'강추': 25,
'다큐': 25,
'순간': 25,
'엄청나다': 25,
'답': 25,
'제발': 25,
'나쁘다': 25,
'비디오': 25,
'확실하다': 24,
'지루함': 24,
'약간': 24,
'인물': 24,
'비슷하다': 24,
'복수': 24,
'들이다': 24,
'따르다': 24,
'이름': 24,
'즐겁다': 24,
'편이': 24,
'당하다': 24,
'존재': 24,
'상당하다': 24,
'얼굴': 24,
'달다': 24,
'언제': 24,
'걸리다': 24,
'선택': 24,
'걸작': 23,
'개연': 23,
'네이버': 23,
'ㅉㅉ': 23,
'머': 23,
'당신': 23,
'어디서': 23,
'자기': 23,
'소설': 23,
'감정': 23,
'짜증': 23,
'년전': 23,
'빨리': 23,
'초딩': 23,
'이리': 23,
'그래서': 23,
'발': 23,
'얘기': 23,
'죠': 23,
'너무나': 23,
'잊다': 23,
'아무리': 23,
'주제': 23,
'만화': 22,
'흠': 22,
'갑자기': 22,
'발연기': 22,
'그만': 22,
'사랑스럽다': 22,
'타다': 22,
'미화': 22,
'최근': 22,
'산': 22,
'말고': 22,
'아들': 22,
'극장판': 22,
'비추다': 22,
'터지다': 22,
'점주': 22,
'그러나': 22,
'다니다': 22,
'장': 22,
'맛': 22,
'진': 22,
'진부하다': 22,
'흐르다': 22,
'보내다': 22,
'감사하다': 22,
'판': 22,
'불편하다': 22,
'에선': 22,
'상황': 22,
'방송': 22,
'순수하다': 21,
'안보': 21,
'곳': 21,
'싸우다': 21,
'ㅜ': 21,
'만들어지다': 21,
'울': 21,
'완성': 21,
'니까': 21,
'전작': 21,
'다운': 21,
'어렵다': 21,
'질질': 21,
'에서도': 21,
'맨': 21,
'다르다': 21,
'시즌': 21,
'참고': 21,
'휴': 21,
'여주': 21,
'졸라': 21,
'진정하다': 20,
'그런': 20,
'라서': 20,
'힘드다': 20,
'에요': 20,
'화이팅': 20,
'화면': 20,
'든': 20,
'성룡': 20,
'제작': 20,
'비교': 20,
'한편': 20,
'수가': 20,
'며': 20,
'동안': 20,
'끌다': 20,
'꿈': 20,
'사건': 20,
'또한': 20,
'래': 20,
'몇번': 20,
'궁금하다': 20,
'원래': 20,
'풀다': 20,
'편집': 20,
'막': 20,
'뻔': 20,
'왠만하다': 20,
'엉망': 19,
'단': 19,
'가보다': 19,
'께': 19,
'담다': 19,
'라도': 19,
'존나': 19,
'요소': 19,
'게임': 19,
'주': 19,
'각본': 19,
'선': 19,
'거의': 19,
'집중': 19,
'똑같다': 19,
'으로도': 19,
'괜히': 19,
'소중하다': 19,
'평생': 19,
'가볍다': 19,
'뭐라다': 19,
'간만': 19,
'보다는': 19,
'느와르': 19,
'먼저': 19,
'술': 19,
'노력': 19,
'재': 19,
'무조건': 19,
'만의': 19,
'더빙': 19,
'넘치다': 18,
'굉장하다': 18,
'물론': 18,
'비': 18,
'들어가다': 18,
'재밋': 18,
'힘': 18,
'아버지': 18,
'만으로도': 18,
'케이블': 18,
'살인': 18,
'거리': 18,
'몰다': 18,
'혼자': 18,
'약하다': 18,
'키': 18,
'얻다': 18,
'무': 18,
'흔하다': 18,
'짧다': 18,
'성하다': 18,
'전체': 18,
'상처': 18,
'모': 18,
'ㅇ': 18,
'화가': 18,
'피': 18,
'사회': 18,
'시청률': 18,
'만나다': 18,
'끼다': 18,
'멜로': 18,
'그녀': 18,
'상미': 18,
'남기다': 18,
'적다': 18,
'낭비': 18,
'전편': 17,
'만하': 17,
'씩': 17,
'아저씨': 17,
'살아가다': 17,
'상영': 17,
'뛰어나다': 17,
'보': 17,
'점점': 17,
'어른': 17,
'소녀': 17,
'새끼': 17,
'한심하다': 17,
'도저히': 17,
'으리': 17,
'취향': 17,
'똥': 17,
'인거': 17,
'손': 17,
'이기다': 17,
'여성': 17,
'황당하다': 17,
'평': 17,
'형': 17,
'거지': 17,
'흥미': 17,
'강하다': 17,
'열': 17,
'묻다': 17,
'통해': 17,
'예전': 17,
'세계': 17,
'실제': 17,
'동화': 17,
'흥미롭다': 17,
'몸': 16,
'예상': 16,
'후반': 16,
'으로는': 16,
'특유': 16,
'땐': 16,
'잡다': 16,
'빨': 16,
'항상': 16,
'감성': 16,
'생': 16,
'바꾸다': 16,
'위대하다': 16,
'아빠': 16,
'온': 16,
'그때': 16,
'차': 16,
'조': 16,
'찾아보다': 16,
'개그': 16,
'평론가': 16,
'이하': 16,
'언': 16,
'암': 16,
'란': 16,
'즐기다': 16,
'참신하다': 16,
'중반': 16,
'개다': 16,
'안나': 16,
'에겐': 16,
'잃다': 16,
'기다리다': 16,
'간다': 16,
'지나다': 16,
'기억나다': 16,
'까진': 16,
'허무하다': 16,
'배': 16,
'꿀잼': 16,
'자극': 16,
'히': 16,
'법': 16,
'돌아가다': 16,
'지키다': 16,
'현재': 16,
'계': 15,
'진정': 15,
'이번': 15,
'하하': 15,
'산만하다': 15,
'삼류': 15,
'억지': 15,
'동': 15,
'쩔다': 15,
'독특하다': 15,
'그게': 15,
'걸다': 15,
'딸': 15,
'채널': 15,
'노답': 15,
'역겹다': 15,
'깊이': 15,
'성도': 15,
'불쾌하다': 15,
'굳이': 15,
'끝내다': 15,
'즈': 15,
'의도': 15,
'다루다': 15,
'실망하다': 15,
'목소리': 15,
'안좋다': 15,
'청춘': 15,
'섬세하다': 15,
'햇': 15,
'나서다': 15,
'헐다': 15,
'범죄': 15,
'에서는': 15,
'ㅋㅋㅋㅋㅋ': 15,
'가지다': 15,
'올해': 15,
'귀신': 15,
'밑': 15,
'역대': 15,
'심심하다': 15,
'예요': 15,
'억지스럽다': 15,
'다만': 15,
'당': 15,
'흥미진진': 15,
'오빠': 15,
'신': 15,
'늦다': 15,
'열심히': 15,
'시도': 15,
'빵점': 15,
'돋보이다': 15,
'조차': 15,
'치고': 15,
'죽음': 15,
'싫어하다': 15,
'설레다': 15,
'일이': 15,
'이에요': 15,
'액션영화': 15,
'반개': 15,
'다시다': 15,
'방법': 15,
'죽': 15,
'삼': 15,
'자식': 15,
'부르다': 14,
'때리다': 14,
'거기': 14,
'리뷰': 14,
'그래픽': 14,
'귀': 14,
'정서': 14,
'표정': 14,
'다행': 14,
'어쩔': 14,
'순': 14,
'철학': 14,
'글': 14,
'미안하다': 14,
'공': 14,
'그닥': 14,
'볼때': 14,
'에게는': 14,
'ㅈ': 14,
'교훈': 14,
'일단': 14,
'이라니': 14,
'바': 14,
'더욱': 14,
'갖다': 14,
'필요': 14,
'ㅠㅠㅠ': 14,
'엿': 14,
'결과': 14,
'사극': 14,
'흘리다': 14,
'으': 14,
'퀄리티': 14,
'너무나도': 14,
'나머지': 14,
'기회': 14,
'떼다': 14,
'가면': 14,
'결혼': 14,
'티': 14,
'챙기다': 14,
'댓글': 14,
'뛰다': 14,
'겁나다': 14,
'이며': 14,
'학교': 14,
'중요하다': 14,
'군': 14,
'견자단': 14,
'전설': 14,
'심': 14,
'비극': 14,
'바보': 14,
'홍콩': 14,
'만이': 14,
'짓': 14,
'가요': 14,
'감다': 14,
'일어나다': 14,
'잊혀지다': 14,
'손발': 14,
'메세지': 14,
'마무리': 14,
'촬영': 14,
'외': 14,
'기적': 14,
'비판': 13,
'나르다': 13,
'그런데': 13,
'너무하다': 13,
'개뿔': 13,
'우울하다': 13,
'쓰래': 13,
'식상하다': 13,
'성인': 13,
'문화': 13,
'상상': 13,
'화보': 13,
'개념': 13,
'예산': 13,
'스타일': 13,
'진지하다': 13,
'바로': 13,
'다소': 13,
'표절': 13,
'가끔': 13,
'연인': 13,
'심리': 13,
'리얼': 13,
'희망': 13,
'자연': 13,
'로는': 13,
...})
print ( '훈련 데이터에서의 단어 영화의 등장 횟수 :' , word_counts[ '영화' ]) # class Counter (= dictionary) print ( '훈련 데이터에서의 단어 공감의 등장 횟수 :' , word_counts[ '공감' ]) 훈련 데이터에서의 단어 영화의 등장 횟수 : 2678
훈련 데이터에서의 단어 공감의 등장 횟수 : 63
vocab = sorted (word_counts, key = word_counts.get, reverse = True ) vocab ['영화',
'보다',
'하다',
'없다',
'이다',
'있다',
'좋다',
'정말',
'너무',
'만',
'재밌다',
'같다',
'점',
'되다',
'적',
'진짜',
'아니다',
'으로',
'로',
'않다',
'나오다',
'연기',
'에서',
'만들다',
'평점',
'나',
'최고',
'것',
'내',
'안',
'그',
'못',
'사람',
'스토리',
'드라마',
'왜',
'보고',
'감동',
'생각',
'감독',
'말',
'이렇다',
'때',
'ㅋㅋ',
'그냥',
'아깝다',
'아',
'거',
'재미없다',
'시간',
'배우',
'더',
'내용',
'중',
'재미',
'요',
'자다',
'지루하다',
'가다',
'까지',
'재미있다',
'하고',
'뭐',
'들다',
'모르다',
'주다',
'작품',
'쓰레기',
'수',
'좀',
'알다',
'사랑',
'하나',
'볼',
'싶다',
'이건',
'ㅋ',
'잘',
'마지막',
'정도',
'그렇다',
'개',
'차다',
'액션',
'연출',
'돈',
'이렇게',
'저',
'다시',
'걸',
'주인공',
'최악',
'안되다',
'지금',
'완전',
'기',
'많다',
'나다',
'받다',
'느낌',
'오다',
'처음',
'장면',
'ㅠㅠ',
'역시',
'ㅋㅋㅋ',
'별',
'명작',
'이야기',
'인데',
'라',
'넘다',
'별로',
'부터',
'일',
'ㅡㅡ',
'면',
'먹다',
'남다',
'이나',
'좋아하다',
'꼭',
'괜찮다',
'년',
'버리다',
'또',
'아름답다',
'인생',
'이해',
'끝',
'난',
'느끼다',
'라고',
'이영화',
'이런',
'무슨',
'그리고',
'멋지다',
'해주다',
'야',
'서',
'전',
'줄',
'많이',
'마음',
'대',
'한번',
'여',
'때문',
'결말',
'허다',
'알',
'가슴',
'어떻다',
'편',
'분',
'소재',
'에게',
'뻔하다',
'엔',
'두',
'어리다',
'없이',
'영',
'라는',
'이고',
'성',
'속',
'되어다',
'씨',
'인간',
'모든',
'가장',
'아쉽다',
'죽다',
'냐',
'랑',
'지만',
'기억',
'끝나다',
'ㅠ',
'짱',
'보기',
'끄다',
'뿐',
'웃기다',
'님',
'남자',
'유치하다',
'크다',
'솔직하다',
'ㅎㅎ',
'매력',
'하지만',
'보여주다',
'쓰다',
'늘다',
'니',
'높다',
'자체',
'애',
'실망',
'여자',
'캐릭터',
'수준',
'번',
'반전',
'전개',
'화',
'무섭다',
'제',
'본',
'우리',
'살다',
'찍다',
'지다',
'현실',
'급',
'추천',
'공감',
'낮다',
'대한',
'맞다',
'재다',
'이상',
'ㅋㅋㅋㅋ',
'함',
'개봉',
'뭔가',
'눈물',
'인지',
'대단하다',
'계속',
'코미디',
'음악',
'눈',
'슬프다',
'전혀',
'이라',
'근데',
'다른',
'짜증나다',
'움',
'돼다',
'빠지다',
'말다',
'제목',
'밖에',
'처럼',
'기대하다',
'건지다',
'인가',
'미치다',
'ㅜㅜ',
'욕',
'중간',
'기분',
'여운',
'시리즈',
'이란',
'표현',
'야하다',
'연기력',
'이네',
'감',
'내내',
'잇다',
'뭔',
'내다',
'굿',
'모두',
'믿다',
'이제',
'보이다',
'이라는',
'자',
'일본',
'작가',
'잼',
'이쁘다',
'원작',
'몰입',
'아이',
'영상',
'연',
'에는',
'이유',
'ㅡ',
'오랜',
'막장',
'걍',
'위',
'가족',
'작',
'아주',
'한국',
'나름',
'노잼',
'아직도',
'절대',
'력',
'특히',
'점도',
'요즘',
'후',
'스릴러',
'이딴',
'긴장감',
'웃다',
'수작',
'딱',
'이랑',
'대박',
'졸작',
'시키다',
'어',
'그래도',
'치다',
'애니',
'잔잔하다',
'너',
'친구',
'기대',
'깊다',
'귀엽다',
'ㅎ',
'짜다',
'찾다',
'느껴지다',
'물',
'진심',
'이라고',
'아프다',
'설정',
'접',
'모습',
'떨어지다',
'건',
'삶',
'보지',
'앞',
'부분',
'인상',
'문제',
'조금',
'용',
'당시',
'개인',
'놈',
'스럽다',
'빼다',
'포스터',
'한국영',
'따뜻하다',
'자신',
'몇',
'울다',
'멋있다',
'알바',
'년대',
'배경',
'추억',
'점수',
'초반',
'해보다',
'무엇',
'정신',
'필요없다',
'나가다',
'써다',
'데',
'류',
'에도',
'의미',
'신선하다',
'가지',
'예쁘다',
'제대로',
'세',
'식',
'시',
'우리나라',
'같이',
'웃음',
'제일',
'더럽다',
'안타깝다',
'극장',
'노래',
'영화로',
'쓸다',
'시나리오',
'한테',
'대사',
'캐스팅',
'질',
'결국',
'라면',
'반',
'공포',
'이지',
'티비',
'보단',
'따다',
'이상하다',
'나이',
'세상',
'기다',
'웃기',
'대다',
'도대체',
'책',
'사실',
'시작',
'시대',
'엄청',
'장난',
'원',
'부족하다',
'마다',
'이지만',
'대해',
'최고다',
'맘',
'기도',
'봄',
'평가',
'상',
'엄마',
'충분하다',
'훌륭하다',
'뭘',
'함께',
'이후',
'죽이다',
'두다',
'첨',
'완벽하다',
'음',
'그저',
'이야',
'몰입도',
'아무',
'답답하다',
'쯤',
'배우다',
'공포영화',
'엉',
'영화관',
'오',
'비다',
'집',
'망하다',
'살리다',
'극',
'놀라다',
'매우',
'누구',
'전쟁',
'남',
'얼마나',
'낫다',
'드리다',
'그리다',
'해',
'돌리다',
'씬',
'차라리',
'이라도',
'어설프다',
'누가',
'실화',
'관객',
'팬',
'간',
'억',
'엔딩',
'새롭다',
'한마디',
'꽤',
'영화인',
'필요하다',
'미국',
'읽다',
'힘들다',
'어색하다',
'위해',
'등',
'출연',
'후회',
'어디',
'아직',
'코믹',
'어울리다',
'건가',
'유쾌하다',
'그렇게',
'싫다',
'킬링타임',
'서다',
'소리',
'구',
'그대로',
'분위기',
'만큼',
'이르다',
'분들',
'밉다',
'코',
'오늘',
'생기다',
'그나마',
'대체',
'스릴',
'전부',
'그것',
'장르',
'충격',
'소름',
'갈수록',
'역사',
'구성',
'탄탄하다',
'잔인하다',
'심하다',
'회',
'애니메이션',
'명',
'놓다',
'살',
'부',
'바라다',
'생각나다',
'훨씬',
'옛날',
'여기',
'준',
'흥행',
'년도',
'여배우',
'로맨스',
'중국',
'뒤',
'시절',
'행복하다',
'좀비',
'라니',
'해도',
'화려하다',
'어이없다',
'주연',
'떠나다',
'머리',
'예술',
'쉬다',
'작다',
'날',
'오글거리다',
'만점',
'멀다',
'돋다',
'어느',
'총',
'강추',
'다큐',
'순간',
'엄청나다',
'답',
'제발',
'나쁘다',
'비디오',
'확실하다',
'지루함',
'약간',
'인물',
'비슷하다',
'복수',
'들이다',
'따르다',
'이름',
'즐겁다',
'편이',
'당하다',
'존재',
'상당하다',
'얼굴',
'달다',
'언제',
'걸리다',
'선택',
'걸작',
'개연',
'네이버',
'ㅉㅉ',
'머',
'당신',
'어디서',
'자기',
'소설',
'감정',
'짜증',
'년전',
'빨리',
'초딩',
'이리',
'그래서',
'발',
'얘기',
'죠',
'너무나',
'잊다',
'아무리',
'주제',
'만화',
'흠',
'갑자기',
'발연기',
'그만',
'사랑스럽다',
'타다',
'미화',
'최근',
'산',
'말고',
'아들',
'극장판',
'비추다',
'터지다',
'점주',
'그러나',
'다니다',
'장',
'맛',
'진',
'진부하다',
'흐르다',
'보내다',
'감사하다',
'판',
'불편하다',
'에선',
'상황',
'방송',
'순수하다',
'안보',
'곳',
'싸우다',
'ㅜ',
'만들어지다',
'울',
'완성',
'니까',
'전작',
'다운',
'어렵다',
'질질',
'에서도',
'맨',
'다르다',
'시즌',
'참고',
'휴',
'여주',
'졸라',
'진정하다',
'그런',
'라서',
'힘드다',
'에요',
'화이팅',
'화면',
'든',
'성룡',
'제작',
'비교',
'한편',
'수가',
'며',
'동안',
'끌다',
'꿈',
'사건',
'또한',
'래',
'몇번',
'궁금하다',
'원래',
'풀다',
'편집',
'막',
'뻔',
'왠만하다',
'엉망',
'단',
'가보다',
'께',
'담다',
'라도',
'존나',
'요소',
'게임',
'주',
'각본',
'선',
'거의',
'집중',
'똑같다',
'으로도',
'괜히',
'소중하다',
'평생',
'가볍다',
'뭐라다',
'간만',
'보다는',
'느와르',
'먼저',
'술',
'노력',
'재',
'무조건',
'만의',
'더빙',
'넘치다',
'굉장하다',
'물론',
'비',
'들어가다',
'재밋',
'힘',
'아버지',
'만으로도',
'케이블',
'살인',
'거리',
'몰다',
'혼자',
'약하다',
'키',
'얻다',
'무',
'흔하다',
'짧다',
'성하다',
'전체',
'상처',
'모',
'ㅇ',
'화가',
'피',
'사회',
'시청률',
'만나다',
'끼다',
'멜로',
'그녀',
'상미',
'남기다',
'적다',
'낭비',
'전편',
'만하',
'씩',
'아저씨',
'살아가다',
'상영',
'뛰어나다',
'보',
'점점',
'어른',
'소녀',
'새끼',
'한심하다',
'도저히',
'으리',
'취향',
'똥',
'인거',
'손',
'이기다',
'여성',
'황당하다',
'평',
'형',
'거지',
'흥미',
'강하다',
'열',
'묻다',
'통해',
'예전',
'세계',
'실제',
'동화',
'흥미롭다',
'몸',
'예상',
'후반',
'으로는',
'특유',
'땐',
'잡다',
'빨',
'항상',
'감성',
'생',
'바꾸다',
'위대하다',
'아빠',
'온',
'그때',
'차',
'조',
'찾아보다',
'개그',
'평론가',
'이하',
'언',
'암',
'란',
'즐기다',
'참신하다',
'중반',
'개다',
'안나',
'에겐',
'잃다',
'기다리다',
'간다',
'지나다',
'기억나다',
'까진',
'허무하다',
'배',
'꿀잼',
'자극',
'히',
'법',
'돌아가다',
'지키다',
'현재',
'계',
'진정',
'이번',
'하하',
'산만하다',
'삼류',
'억지',
'동',
'쩔다',
'독특하다',
'그게',
'걸다',
'딸',
'채널',
'노답',
'역겹다',
'깊이',
'성도',
'불쾌하다',
'굳이',
'끝내다',
'즈',
'의도',
'다루다',
'실망하다',
'목소리',
'안좋다',
'청춘',
'섬세하다',
'햇',
'나서다',
'헐다',
'범죄',
'에서는',
'ㅋㅋㅋㅋㅋ',
'가지다',
'올해',
'귀신',
'밑',
'역대',
'심심하다',
'예요',
'억지스럽다',
'다만',
'당',
'흥미진진',
'오빠',
'신',
'늦다',
'열심히',
'시도',
'빵점',
'돋보이다',
'조차',
'치고',
'죽음',
'싫어하다',
'설레다',
'일이',
'이에요',
'액션영화',
'반개',
'다시다',
'방법',
'죽',
'삼',
'자식',
'부르다',
'때리다',
'거기',
'리뷰',
'그래픽',
'귀',
'정서',
'표정',
'다행',
'어쩔',
'순',
'철학',
'글',
'미안하다',
'공',
'그닥',
'볼때',
'에게는',
'ㅈ',
'교훈',
'일단',
'이라니',
'바',
'더욱',
'갖다',
'필요',
'ㅠㅠㅠ',
'엿',
'결과',
'사극',
'흘리다',
'으',
'퀄리티',
'너무나도',
'나머지',
'기회',
'떼다',
'가면',
'결혼',
'티',
'챙기다',
'댓글',
'뛰다',
'겁나다',
'이며',
'학교',
'중요하다',
'군',
'견자단',
'전설',
'심',
'비극',
'바보',
'홍콩',
'만이',
'짓',
'가요',
'감다',
'일어나다',
'잊혀지다',
'손발',
'메세지',
'마무리',
'촬영',
'외',
'기적',
'비판',
'나르다',
'그런데',
'너무하다',
'개뿔',
'우울하다',
'쓰래',
'식상하다',
'성인',
'문화',
'상상',
'화보',
'개념',
'예산',
'스타일',
'진지하다',
'바로',
'다소',
'표절',
'가끔',
'연인',
'심리',
'리얼',
'희망',
'자연',
'로는',
...]
### word_to_index = {} word_to_index[ '<PAD>' ] = 0 word_to_index[ '<UNK>' ] = 1
for index, word in enumerate (vocab) : word_to_index[word] = index + 2
vocab_size = len (word_to_index) print ( '패딩 토큰과 UNK 토큰을 고려한 단어 집합의 크기 :' , vocab_size) 패딩 토큰과 UNK 토큰을 고려한 단어 집합의 크기 : 10878
print (word_to_index) print ( '단어 <PAD>와 맵핑되는 정수 :' , word_to_index[ '<PAD>' ]) print ( '단어 <UNK>와 맵핑되는 정수 :' , word_to_index[ '<UNK>' ]) print ( '단어 영화와 맵핑되는 정수 :' , word_to_index[ '영화' ]) {'<PAD>': 0, '<UNK>': 1, '영화': 2, '보다': 3, '하다': 4, '없다': 5, '이다': 6, '있다': 7, '좋다': 8, '정말': 9, '너무': 10, '만': 11, '재밌다': 12, '같다': 13, '점': 14, '되다': 15, '적': 16, '진짜': 17, '아니다': 18, '으로': 19, '로': 20, '않다': 21, '나오다': 22, '연기': 23, '에서': 24, '만들다': 25, '평점': 26, '나': 27, '최고': 28, '것': 29, '내': 30, '안': 31, '그': 32, '못': 33, '사람': 34, '스토리': 35, '드라마': 36, '왜': 37, '보고': 38, '감동': 39, '생각': 40, '감독': 41, '말': 42, '이렇다': 43, '때': 44, 'ㅋㅋ': 45, '그냥': 46, '아깝다': 47, '아': 48, '거': 49, '재미없다': 50, '시간': 51, '배우': 52, '더': 53, '내용': 54, '중': 55, '재미': 56, '요': 57, '자다': 58, '지루하다': 59, '가다': 60, '까지': 61, '재미있다': 62, '하고': 63, '뭐': 64, '들다': 65, '모르다': 66, '주다': 67, '작품': 68, '쓰레기': 69, '수': 70, '좀': 71, '알다': 72, '사랑': 73, '하나': 74, '볼': 75, '싶다': 76, '이건': 77, 'ㅋ': 78, '잘': 79, '마지막': 80, '정도': 81, '그렇다': 82, '개': 83, '차다': 84, '액션': 85, '연출': 86, '돈': 87, '이렇게': 88, '저': 89, '다시': 90, '걸': 91, '주인공': 92, '최악': 93, '안되다': 94, '지금': 95, '완전': 96, '기': 97, '많다': 98, '나다': 99, '받다': 100, '느낌': 101, '오다': 102, '처음': 103, '장면': 104, 'ㅠㅠ': 105, '역시': 106, 'ㅋㅋㅋ': 107, '별': 108, '명작': 109, '이야기': 110, '인데': 111, '라': 112, '넘다': 113, '별로': 114, '부터': 115, '일': 116, 'ㅡㅡ': 117, '면': 118, '먹다': 119, '남다': 120, '이나': 121, '좋아하다': 122, '꼭': 123, '괜찮다': 124, '년': 125, '버리다': 126, '또': 127, '아름답다': 128, '인생': 129, '이해': 130, '끝': 131, '난': 132, '느끼다': 133, '라고': 134, '이영화': 135, '이런': 136, '무슨': 137, '그리고': 138, '멋지다': 139, '해주다': 140, '야': 141, '서': 142, '전': 143, '줄': 144, '많이': 145, '마음': 146, '대': 147, '한번': 148, '여': 149, '때문': 150, '결말': 151, '허다': 152, '알': 153, '가슴': 154, '어떻다': 155, '편': 156, '분': 157, '소재': 158, '에게': 159, '뻔하다': 160, '엔': 161, '두': 162, '어리다': 163, '없이': 164, '영': 165, '라는': 166, '이고': 167, '성': 168, '속': 169, '되어다': 170, '씨': 171, '인간': 172, '모든': 173, '가장': 174, '아쉽다': 175, '죽다': 176, '냐': 177, '랑': 178, '지만': 179, '기억': 180, '끝나다': 181, 'ㅠ': 182, '짱': 183, '보기': 184, '끄다': 185, '뿐': 186, '웃기다': 187, '님': 188, '남자': 189, '유치하다': 190, '크다': 191, '솔직하다': 192, 'ㅎㅎ': 193, '매력': 194, '하지만': 195, '보여주다': 196, '쓰다': 197, '늘다': 198, '니': 199, '높다': 200, '자체': 201, '애': 202, '실망': 203, '여자': 204, '캐릭터': 205, '수준': 206, '번': 207, '반전': 208, '전개': 209, '화': 210, '무섭다': 211, '제': 212, '본': 213, '우리': 214, '살다': 215, '찍다': 216, '지다': 217, '현실': 218, '급': 219, '추천': 220, '공감': 221, '낮다': 222, '대한': 223, '맞다': 224, '재다': 225, '이상': 226, 'ㅋㅋㅋㅋ': 227, '함': 228, '개봉': 229, '뭔가': 230, '눈물': 231, '인지': 232, '대단하다': 233, '계속': 234, '코미디': 235, '음악': 236, '눈': 237, '슬프다': 238, '전혀': 239, '이라': 240, '근데': 241, '다른': 242, '짜증나다': 243, '움': 244, '돼다': 245, '빠지다': 246, '말다': 247, '제목': 248, '밖에': 249, '처럼': 250, '기대하다': 251, '건지다': 252, '인가': 253, '미치다': 254, 'ㅜㅜ': 255, '욕': 256, '중간': 257, '기분': 258, '여운': 259, '시리즈': 260, '이란': 261, '표현': 262, '야하다': 263, '연기력': 264, '이네': 265, '감': 266, '내내': 267, '잇다': 268, '뭔': 269, '내다': 270, '굿': 271, '모두': 272, '믿다': 273, '이제': 274, '보이다': 275, '이라는': 276, '자': 277, '일본': 278, '작가': 279, '잼': 280, '이쁘다': 281, '원작': 282, '몰입': 283, '아이': 284, '영상': 285, '연': 286, '에는': 287, '이유': 288, 'ㅡ': 289, '오랜': 290, '막장': 291, '걍': 292, '위': 293, '가족': 294, '작': 295, '아주': 296, '한국': 297, '나름': 298, '노잼': 299, '아직도': 300, '절대': 301, '력': 302, '특히': 303, '점도': 304, '요즘': 305, '후': 306, '스릴러': 307, '이딴': 308, '긴장감': 309, '웃다': 310, '수작': 311, '딱': 312, '이랑': 313, '대박': 314, '졸작': 315, '시키다': 316, '어': 317, '그래도': 318, '치다': 319, '애니': 320, '잔잔하다': 321, '너': 322, '친구': 323, '기대': 324, '깊다': 325, '귀엽다': 326, 'ㅎ': 327, '짜다': 328, '찾다': 329, '느껴지다': 330, '물': 331, '진심': 332, '이라고': 333, '아프다': 334, '설정': 335, '접': 336, '모습': 337, '떨어지다': 338, '건': 339, '삶': 340, '보지': 341, '앞': 342, '부분': 343, '인상': 344, '문제': 345, '조금': 346, '용': 347, '당시': 348, '개인': 349, '놈': 350, '스럽다': 351, '빼다': 352, '포스터': 353, '한국영': 354, '따뜻하다': 355, '자신': 356, '몇': 357, '울다': 358, '멋있다': 359, '알바': 360, '년대': 361, '배경': 362, '추억': 363, '점수': 364, '초반': 365, '해보다': 366, '무엇': 367, '정신': 368, '필요없다': 369, '나가다': 370, '써다': 371, '데': 372, '류': 373, '에도': 374, '의미': 375, '신선하다': 376, '가지': 377, '예쁘다': 378, '제대로': 379, '세': 380, '식': 381, '시': 382, '우리나라': 383, '같이': 384, '웃음': 385, '제일': 386, '더럽다': 387, '안타깝다': 388, '극장': 389, '노래': 390, '영화로': 391, '쓸다': 392, '시나리오': 393, '한테': 394, '대사': 395, '캐스팅': 396, '질': 397, '결국': 398, '라면': 399, '반': 400, '공포': 401, '이지': 402, '티비': 403, '보단': 404, '따다': 405, '이상하다': 406, '나이': 407, '세상': 408, '기다': 409, '웃기': 410, '대다': 411, '도대체': 412, '책': 413, '사실': 414, '시작': 415, '시대': 416, '엄청': 417, '장난': 418, '원': 419, '부족하다': 420, '마다': 421, '이지만': 422, '대해': 423, '최고다': 424, '맘': 425, '기도': 426, '봄': 427, '평가': 428, '상': 429, '엄마': 430, '충분하다': 431, '훌륭하다': 432, '뭘': 433, '함께': 434, '이후': 435, '죽이다': 436, '두다': 437, '첨': 438, '완벽하다': 439, '음': 440, '그저': 441, '이야': 442, '몰입도': 443, '아무': 444, '답답하다': 445, '쯤': 446, '배우다': 447, '공포영화': 448, '엉': 449, '영화관': 450, '오': 451, '비다': 452, '집': 453, '망하다': 454, '살리다': 455, '극': 456, '놀라다': 457, '매우': 458, '누구': 459, '전쟁': 460, '남': 461, '얼마나': 462, '낫다': 463, '드리다': 464, '그리다': 465, '해': 466, '돌리다': 467, '씬': 468, '차라리': 469, '이라도': 470, '어설프다': 471, '누가': 472, '실화': 473, '관객': 474, '팬': 475, '간': 476, '억': 477, '엔딩': 478, '새롭다': 479, '한마디': 480, '꽤': 481, '영화인': 482, '필요하다': 483, '미국': 484, '읽다': 485, '힘들다': 486, '어색하다': 487, '위해': 488, '등': 489, '출연': 490, '후회': 491, '어디': 492, '아직': 493, '코믹': 494, '어울리다': 495, '건가': 496, '유쾌하다': 497, '그렇게': 498, '싫다': 499, '킬링타임': 500, '서다': 501, '소리': 502, '구': 503, '그대로': 504, '분위기': 505, '만큼': 506, '이르다': 507, '분들': 508, '밉다': 509, '코': 510, '오늘': 511, '생기다': 512, '그나마': 513, '대체': 514, '스릴': 515, '전부': 516, '그것': 517, '장르': 518, '충격': 519, '소름': 520, '갈수록': 521, '역사': 522, '구성': 523, '탄탄하다': 524, '잔인하다': 525, '심하다': 526, '회': 527, '애니메이션': 528, '명': 529, '놓다': 530, '살': 531, '부': 532, '바라다': 533, '생각나다': 534, '훨씬': 535, '옛날': 536, '여기': 537, '준': 538, '흥행': 539, '년도': 540, '여배우': 541, '로맨스': 542, '중국': 543, '뒤': 544, '시절': 545, '행복하다': 546, '좀비': 547, '라니': 548, '해도': 549, '화려하다': 550, '어이없다': 551, '주연': 552, '떠나다': 553, '머리': 554, '예술': 555, '쉬다': 556, '작다': 557, '날': 558, '오글거리다': 559, '만점': 560, '멀다': 561, '돋다': 562, '어느': 563, '총': 564, '강추': 565, '다큐': 566, '순간': 567, '엄청나다': 568, '답': 569, '제발': 570, '나쁘다': 571, '비디오': 572, '확실하다': 573, '지루함': 574, '약간': 575, '인물': 576, '비슷하다': 577, '복수': 578, '들이다': 579, '따르다': 580, '이름': 581, '즐겁다': 582, '편이': 583, '당하다': 584, '존재': 585, '상당하다': 586, '얼굴': 587, '달다': 588, '언제': 589, '걸리다': 590, '선택': 591, '걸작': 592, '개연': 593, '네이버': 594, 'ㅉㅉ': 595, '머': 596, '당신': 597, '어디서': 598, '자기': 599, '소설': 600, '감정': 601, '짜증': 602, '년전': 603, '빨리': 604, '초딩': 605, '이리': 606, '그래서': 607, '발': 608, '얘기': 609, '죠': 610, '너무나': 611, '잊다': 612, '아무리': 613, '주제': 614, '만화': 615, '흠': 616, '갑자기': 617, '발연기': 618, '그만': 619, '사랑스럽다': 620, '타다': 621, '미화': 622, '최근': 623, '산': 624, '말고': 625, '아들': 626, '극장판': 627, '비추다': 628, '터지다': 629, '점주': 630, '그러나': 631, '다니다': 632, '장': 633, '맛': 634, '진': 635, '진부하다': 636, '흐르다': 637, '보내다': 638, '감사하다': 639, '판': 640, '불편하다': 641, '에선': 642, '상황': 643, '방송': 644, '순수하다': 645, '안보': 646, '곳': 647, '싸우다': 648, 'ㅜ': 649, '만들어지다': 650, '울': 651, '완성': 652, '니까': 653, '전작': 654, '다운': 655, '어렵다': 656, '질질': 657, '에서도': 658, '맨': 659, '다르다': 660, '시즌': 661, '참고': 662, '휴': 663, '여주': 664, '졸라': 665, '진정하다': 666, '그런': 667, '라서': 668, '힘드다': 669, '에요': 670, '화이팅': 671, '화면': 672, '든': 673, '성룡': 674, '제작': 675, '비교': 676, '한편': 677, '수가': 678, '며': 679, '동안': 680, '끌다': 681, '꿈': 682, '사건': 683, '또한': 684, '래': 685, '몇번': 686, '궁금하다': 687, '원래': 688, '풀다': 689, '편집': 690, '막': 691, '뻔': 692, '왠만하다': 693, '엉망': 694, '단': 695, '가보다': 696, '께': 697, '담다': 698, '라도': 699, '존나': 700, '요소': 701, '게임': 702, '주': 703, '각본': 704, '선': 705, '거의': 706, '집중': 707, '똑같다': 708, '으로도': 709, '괜히': 710, '소중하다': 711, '평생': 712, '가볍다': 713, '뭐라다': 714, '간만': 715, '보다는': 716, '느와르': 717, '먼저': 718, '술': 719, '노력': 720, '재': 721, '무조건': 722, '만의': 723, '더빙': 724, '넘치다': 725, '굉장하다': 726, '물론': 727, '비': 728, '들어가다': 729, '재밋': 730, '힘': 731, '아버지': 732, '만으로도': 733, '케이블': 734, '살인': 735, '거리': 736, '몰다': 737, '혼자': 738, '약하다': 739, '키': 740, '얻다': 741, '무': 742, '흔하다': 743, '짧다': 744, '성하다': 745, '전체': 746, '상처': 747, '모': 748, 'ㅇ': 749, '화가': 750, '피': 751, '사회': 752, '시청률': 753, '만나다': 754, '끼다': 755, '멜로': 756, '그녀': 757, '상미': 758, '남기다': 759, '적다': 760, '낭비': 761, '전편': 762, '만하': 763, '씩': 764, '아저씨': 765, '살아가다': 766, '상영': 767, '뛰어나다': 768, '보': 769, '점점': 770, '어른': 771, '소녀': 772, '새끼': 773, '한심하다': 774, '도저히': 775, '으리': 776, '취향': 777, '똥': 778, '인거': 779, '손': 780, '이기다': 781, '여성': 782, '황당하다': 783, '평': 784, '형': 785, '거지': 786, '흥미': 787, '강하다': 788, '열': 789, '묻다': 790, '통해': 791, '예전': 792, '세계': 793, '실제': 794, '동화': 795, '흥미롭다': 796, '몸': 797, '예상': 798, '후반': 799, '으로는': 800, '특유': 801, '땐': 802, '잡다': 803, '빨': 804, '항상': 805, '감성': 806, '생': 807, '바꾸다': 808, '위대하다': 809, '아빠': 810, '온': 811, '그때': 812, '차': 813, '조': 814, '찾아보다': 815, '개그': 816, '평론가': 817, '이하': 818, '언': 819, '암': 820, '란': 821, '즐기다': 822, '참신하다': 823, '중반': 824, '개다': 825, '안나': 826, '에겐': 827, '잃다': 828, '기다리다': 829, '간다': 830, '지나다': 831, '기억나다': 832, '까진': 833, '허무하다': 834, '배': 835, '꿀잼': 836, '자극': 837, '히': 838, '법': 839, '돌아가다': 840, '지키다': 841, '현재': 842, '계': 843, '진정': 844, '이번': 845, '하하': 846, '산만하다': 847, '삼류': 848, '억지': 849, '동': 850, '쩔다': 851, '독특하다': 852, '그게': 853, '걸다': 854, '딸': 855, '채널': 856, '노답': 857, '역겹다': 858, '깊이': 859, '성도': 860, '불쾌하다': 861, '굳이': 862, '끝내다': 863, '즈': 864, '의도': 865, '다루다': 866, '실망하다': 867, '목소리': 868, '안좋다': 869, '청춘': 870, '섬세하다': 871, '햇': 872, '나서다': 873, '헐다': 874, '범죄': 875, '에서는': 876, 'ㅋㅋㅋㅋㅋ': 877, '가지다': 878, '올해': 879, '귀신': 880, '밑': 881, '역대': 882, '심심하다': 883, '예요': 884, '억지스럽다': 885, '다만': 886, '당': 887, '흥미진진': 888, '오빠': 889, '신': 890, '늦다': 891, '열심히': 892, '시도': 893, '빵점': 894, '돋보이다': 895, '조차': 896, '치고': 897, '죽음': 898, '싫어하다': 899, '설레다': 900, '일이': 901, '이에요': 902, '액션영화': 903, '반개': 904, '다시다': 905, '방법': 906, '죽': 907, '삼': 908, '자식': 909, '부르다': 910, '때리다': 911, '거기': 912, '리뷰': 913, '그래픽': 914, '귀': 915, '정서': 916, '표정': 917, '다행': 918, '어쩔': 919, '순': 920, '철학': 921, '글': 922, '미안하다': 923, '공': 924, '그닥': 925, '볼때': 926, '에게는': 927, 'ㅈ': 928, '교훈': 929, '일단': 930, '이라니': 931, '바': 932, '더욱': 933, '갖다': 934, '필요': 935, 'ㅠㅠㅠ': 936, '엿': 937, '결과': 938, '사극': 939, '흘리다': 940, '으': 941, '퀄리티': 942, '너무나도': 943, '나머지': 944, '기회': 945, '떼다': 946, '가면': 947, '결혼': 948, '티': 949, '챙기다': 950, '댓글': 951, '뛰다': 952, '겁나다': 953, '이며': 954, '학교': 955, '중요하다': 956, '군': 957, '견자단': 958, '전설': 959, '심': 960, '비극': 961, '바보': 962, '홍콩': 963, '만이': 964, '짓': 965, '가요': 966, '감다': 967, '일어나다': 968, '잊혀지다': 969, '손발': 970, '메세지': 971, '마무리': 972, '촬영': 973, '외': 974, '기적': 975, '비판': 976, '나르다': 977, '그런데': 978, '너무하다': 979, '개뿔': 980, '우울하다': 981, '쓰래': 982, '식상하다': 983, '성인': 984, '문화': 985, '상상': 986, '화보': 987, '개념': 988, '예산': 989, '스타일': 990, '진지하다': 991, '바로': 992, '다소': 993, '표절': 994, '가끔': 995, '연인': 996, '심리': 997, '리얼': 998, '희망': 999, '자연': 1000, '로는': 1001, '왠지': 1002, '기술': 1003, '어이': 1004, '바뀌다': 1005, '초': 1006, '우연히': 1007, '과거': 1008, '만족하다': 1009, '짐': 1010, '터': 1011, '다음': 1012, '예고편': 1013, '조연': 1014, '주기도': 1015, '스파이더맨': 1016, '맞추다': 1017, '희다': 1018, '눈물나다': 1019, '프로': 1020, '불쌍하다': 1021, '리메이크': 1022, '역': 1023, '우': 1024, '수도': 1025, '지루': 1026, '빠져들다': 1027, '과연': 1028, '스러운': 1029, '제작비': 1030, '속편': 1031, '신기하다': 1032, '둘': 1033, '제로': 1034, '자막': 1035, '쏘다': 1036, '현': 1037, '졸리다': 1038, '춤': 1039, '가치': 1040, '고민': 1041, '푹': 1042, '프로그램': 1043, '단순하다': 1044, '종교': 1045, '넣다': 1046, 'ㅎㅎㅎ': 1047, '영환': 1048, '나중': 1049, '인정': 1050, '부끄럽다': 1051, '소': 1052, '외계인': 1053, '이든': 1054, '강': 1055, '선생님': 1056, '학생': 1057, '존경': 1058, '레알': 1059, '여전하다': 1060, '호러': 1061, '반복': 1062, '연기자': 1063, '판타지': 1064, '관': 1065, '사': 1066, '런가': 1067, '여서': 1068, '쫌': 1069, '흐름': 1070, '이제야': 1071, '보이': 1072, '조절': 1073, '접다': 1074, '망작': 1075, '악역': 1076, '원하다': 1077, '혹은': 1078, '적당하다': 1079, '라인': 1080, '죄': 1081, '훈훈하다': 1082, '마르다': 1083, '노': 1084, '지난': 1085, '마': 1086, '까지도': 1087, '대의': 1088, '사라지다': 1089, '가깝다': 1090, '이연걸': 1091, '살짝': 1092, '창': 1093, '아쉬움': 1094, '갈다': 1095, '메다': 1096, '드': 1097, '스': 1098, '컷': 1099, '달': 1100, '따라가다': 1101, '뜨다': 1102, '에서의': 1103, '후속작': 1104, '게이': 1105, '전달': 1106, '늘': 1107, '스타': 1108, '특별하다': 1109, '썩다': 1110, '팔': 1111, '유': 1112, '방': 1113, '어찌': 1114, '유치': 1115, '관심': 1116, '낚': 1117, '드럽다': 1118, '서로': 1119, '오락': 1120, '쵝오': 1121, '병맛': 1122, '고양이': 1123, 'ㅇㅇ': 1124, '한다는': 1125, '올': 1126, '인하다': 1127, '핵': 1128, '변하다': 1129, '북한': 1130, '첫': 1131, '슬픔': 1132, '색다르다': 1133, '착하다': 1134, '숨다': 1135, '패러디': 1136, '다가오다': 1137, '아오': 1138, '돌아오다': 1139, '겠다': 1140, '남녀': 1141, 'ㅋㅋㅋㅋㅋㅋ': 1142, '면서': 1143, '줄거리': 1144, '묘사': 1145, '스케일': 1146, '독립영화': 1147, '고생': 1148, '망치다': 1149, '심장': 1150, '유일하다': 1151, '빌리다': 1152, '영원하다': 1153, '천재': 1154, '폭력': 1155, '새': 1156, '연결': 1157, '깔다': 1158, '관계': 1159, '무비': 1160, '로봇': 1161, '응원': 1162, '불가': 1163, '되게': 1164, '아침': 1165, '이미': 1166, '밋밋하다': 1167, '열정': 1168, '프랑스': 1169, '울리다': 1170, '커플': 1171, '보라': 1172, '날다': 1173, '에피소드': 1174, '밥': 1175, '양심': 1176, '강렬하다': 1177, '환상': 1178, '앞서': 1179, '실감': 1180, '과정': 1181, '허세': 1182, '타임': 1183, '여러': 1184, '말로': 1185, '교육': 1186, '긴장': 1187, '한계': 1188, '악당': 1189, '화나다': 1190, '자살': 1191, '조폭': 1192, '완전하다': 1193, '어머니': 1194, '송강호': 1195, '잘못': 1196, '행동': 1197, '닿다': 1198, '암튼': 1199, '잘만': 1200, '학년': 1201, 'ㅉㅉㅉ': 1202, '이정': 1203, '개판': 1204, '입': 1205, '주기': 1206, '이면': 1207, '틀다': 1208, '짜지다': 1209, '화끈하다': 1210, '볼거리': 1211, '안다': 1212, '줄다': 1213, '기본': 1214, '오히려': 1215, '성우': 1216, '지나치다': 1217, '평이': 1218, '양': 1219, '토나오다': 1220, '왕': 1221, '예능': 1222, '영국': 1223, '자주': 1224, '저렇게': 1225, '누군가': 1226, '심형래': 1227, '초등학교': 1228, '대로': 1229, '불다': 1230, '싸구려': 1231, '대작': 1232, '끌': 1233, '실력': 1234, '유명하다': 1235, '밤': 1236, '전형': 1237, '신분': 1238, '혹시': 1239, '이냐': 1240, '길다': 1241, '신나다': 1242, '트': 1243, '채우다': 1244, '탈': 1245, '줍다': 1246, '잠': 1247, '소름끼치다': 1248, '그럭저럭': 1249, '보시': 1250, '진행': 1251, '태어나다': 1252, '카메라': 1253, '변태': 1254, '빛': 1255, '대한민국': 1256, '시점': 1257, '펑펑': 1258, '정': 1259, '언제나': 1260, '보이지': 1261, '오그라들다': 1262, '사다': 1263, '생애': 1264, '꺼': 1265, '어떤': 1266, '깔끔하다': 1267, '분노': 1268, '자동차': 1269, '그린': 1270, '포기': 1271, '말아먹다': 1272, '영화계': 1273, '연예인': 1274, '길': 1275, '쇼': 1276, '영웅': 1277, '아픔': 1278, '바라보다': 1279, '랄': 1280, '파': 1281, '전반': 1282, '타': 1283, '터미네이터': 1284, '이따위': 1285, '시원하다': 1286, '등등': 1287, '잘생기다': 1288, '씁쓸하다': 1289, '녹다': 1290, '난해하다': 1291, '보다도': 1292, '만해': 1293, '스럽게': 1294, '무겁다': 1295, '왜케': 1296, '저러다': 1297, '옛': 1298, '저런': 1299, '과는': 1300, '딱하다': 1301, '쓸데없이': 1302, '체': 1303, '존': 1304, '특이하다': 1305, '편하다': 1306, 'ㅅㅂ': 1307, '아줌마': 1308, '아래': 1309, '전율': 1310, '형님': 1311, '달리': 1312, '명화': 1313, '신의': 1314, '외국': 1315, '졸다': 1316, '세기': 1317, '사고': 1318, '필름': 1319, '어린이': 1320, '찝찝하다': 1321, '대놓고': 1322, '넘어가다': 1323, '늘어지다': 1324, '역할': 1325, '영화제': 1326, '국민': 1327, '제니퍼': 1328, '밋': 1329, '이여': 1330, '짝퉁': 1331, '등장인물': 1332, '러브': 1333, '불륜': 1334, '의외로': 1335, '좋아지다': 1336, '오래되다': 1337, '굳다': 1338, '섹스': 1339, '가득하다': 1340, '히어로': 1341, '상태': 1342, '더하다': 1343, '진창': 1344, '로써': 1345, '참다': 1346, '매니아': 1347, '시기': 1348, '용서': 1349, '동영상': 1350, '홍콩영화': 1351, 'ㅁ': 1352, '아역': 1353, '지겹다': 1354, '통쾌하다': 1355, '감상': 1356, '월': 1357, '땜': 1358, '거슬리다': 1359, '편의': 1360, '젤': 1361, '덕분': 1362, '로만': 1363, '감각': 1364, '끌리다': 1365, '평범하다': 1366, '동생': 1367, '레전드': 1368, '능력': 1369, '관람': 1370, '약': 1371, '아끼다': 1372, '싸움': 1373, '뽑다': 1374, '이기': 1375, '사투리': 1376, '무재': 1377, '는걸': 1378, '평균': 1379, '그동안': 1380, '도전': 1381, '기준': 1382, '재밋어': 1383, '은근': 1384, '미소': 1385, '어제': 1386, '포르노': 1387, '천': 1388, '공간': 1389, '괴물': 1390, '흑': 1391, '에나': 1392, '입다': 1393, '몇몇': 1394, '나라': 1395, '해오다': 1396, '따위': 1397, '잠시': 1398, '러닝': 1399, '자르다': 1400, '유머': 1401, '애기': 1402, '듣다': 1403, '기세': 1404, '여자애': 1405, '째': 1406, '까지는': 1407, 'ㅜㅠ': 1408, '치고는': 1409, '덥다': 1410, '짠하다': 1411, '멋': 1412, '분명하다': 1413, 'ㄱ': 1414, '무지': 1415, '토록': 1416, '블록버스터': 1417, '무시': 1418, '구나': 1419, '앤': 1420, '부터가': 1421, '보신': 1422, '봣': 1423, '하이': 1424, '희생': 1425, '운': 1426, '용도': 1427, '꽝': 1428, '노출': 1429, '망': 1430, '보아': 1431, '남성': 1432, '동시': 1433, '레옹': 1434, '으로서': 1435, '마치': 1436, '그다지': 1437, '연애': 1438, '신다': 1439, '걱정': 1440, '만에': 1441, '다리': 1442, 'ㅋㅋㅋㅋㅋㅋㅋㅋ': 1443, '형편': 1444, '아련하다': 1445, '들어서다': 1446, '기르다': 1447, '그림': 1448, '줌': 1449, '일상': 1450, '진실': 1451, '형제': 1452, '그만하다': 1453, '지는': 1454, '전개도': 1455, '한데': 1456, '다큐멘터리': 1457, '개도': 1458, '누군지': 1459, '구리': 1460, '문': 1461, '이래': 1462, '공부': 1463, '키우다': 1464, '마리': 1465, '정작': 1466, '픽션': 1467, '재난영화': 1468, '주의': 1469, '쪽': 1470, '과장': 1471, '감명': 1472, '라이언': 1473, '우정': 1474, '기만': 1475, '등장': 1476, '크게': 1477, '싸이코': 1478, '광고': 1479, '성격': 1480, '명연기': 1481, '처절하다': 1482, '멍청하다': 1483, '재밋다': 1484, '아무나': 1485, '게다가': 1486, '거나': 1487, '설명': 1488, '목적': 1489, '적임': 1490, '관점': 1491, '의식': 1492, '옆': 1493, '타짜': 1494, '홍보': 1495, '테러': 1496, '짝': 1497, '꾸다': 1498, '글쎄': 1499, '녀': 1500, '최소한': 1501, 'ㄷㄷ': 1502, '당황': 1503, '비중': 1504, '벌써': 1505, '부족': 1506, '추다': 1507, '관련': 1508, '달리다': 1509, '발견': 1510, '좀더': 1511, '우뢰매': 1512, '울컥': 1513, '플롯': 1514, '돌다': 1515, '적절하다': 1516, '막장드라마': 1517, '중심': 1518, '린다': 1519, '심각하다': 1520, '십': 1521, '지리다': 1522, '예': 1523, '국내': 1524, '갈등': 1525, '별루': 1526, '치유': 1527, '세련되다': 1528, '극단': 1529, '사이': 1530, '초등학생': 1531, '뇌': 1532, '박수': 1533, '언니': 1534, '올리다': 1535, '경찰': 1536, '떨다': 1537, '쪽팔리다': 1538, '압권': 1539, '마냥': 1540, '하라': 1541, '수입': 1542, '헐리우드': 1543, '스트레스': 1544, '에서만': 1545, '가능하다': 1546, '투': 1547, '슈렉': 1548, '군대': 1549, '공짜': 1550, '평소': 1551, '뭉클하다': 1552, '내놓다': 1553, '단지': 1554, '지르다': 1555, '오래': 1556, '적어도': 1557, '기대다': 1558, '반하다': 1559, '아예': 1560, '공포물': 1561, '청소년': 1562, '경': 1563, '코난': 1564, '오우삼': 1565, '겨': 1566, '직업': 1567, '하자': 1568, '담기다': 1569, '화란': 1570, '안감': 1571, '성장': 1572, '았': 1573, '소소하다': 1574, '로그인': 1575, '느리다': 1576, '와우': 1577, '틴': 1578, '그립다': 1579, '최수종': 1580, '예수': 1581, '미학': 1582, '없애다': 1583, '분만': 1584, '바람': 1585, '디즈니': 1586, '도안': 1587, '최고봉': 1588, '하늘': 1589, '형식': 1590, '주지': 1591, '레이': 1592, '정신병': 1593, '싸다': 1594, '바르다': 1595, '질리': 1596, '도움': 1597, '추리': 1598, '로버트': 1599, '드니': 1600, '지구': 1601, '민망하다': 1602, '나타나다': 1603, '권': 1604, '만으로': 1605, '진하다': 1606, '검색': 1607, '찌다': 1608, '앞뒤': 1609, '이보': 1610, '겪다': 1611, '물이': 1612, '무협': 1613, '왕조현': 1614, '롭고': 1615, '비밀': 1616, '무한': 1617, '뜬금': 1618, '자리': 1619, '치': 1620, '끼우다': 1621, '호': 1622, '이라서': 1623, '에로': 1624, '우주': 1625, '소년': 1626, '한개': 1627, '영어': 1628, '시시하다': 1629, '대안': 1630, '종영': 1631, '생생하다': 1632, '효과': 1633, '베스트': 1634, '세다': 1635, '끼리': 1636, '탄생': 1637, '기법': 1638, '감안': 1639, '들어오다': 1640, '피다': 1641, '근': 1642, '추하다': 1643, '본방': 1644, '결정': 1645, '아우': 1646, '당연하다': 1647, '상상력': 1648, '웃': 1649, '무의미하다': 1650, '거장': 1651, '쓸데없다': 1652, '김': 1653, '버전': 1654, '고딩': 1655, '탓': 1656, '막판': 1657, '해내다': 1658, '연관': 1659, '움직이다': 1660, '부턴': 1661, '실패': 1662, '스스로': 1663, '국산': 1664, '반갑다': 1665, '빠르다': 1666, '뮤지컬': 1667, '인게': 1668, '담배': 1669, '방식': 1670, '세계관': 1671, '조합': 1672, '난리': 1673, '에게도': 1674, '용기': 1675, '섹시하다': 1676, '정체': 1677, '반도': 1678, '범인': 1679, '하나로': 1680, '해피엔딩': 1681, '스런': 1682, '홍상수': 1683, '에다': 1684, '어디가': 1685, '뒷': 1686, '수고': 1687, '고르다': 1688, '명성': 1689, '이루다': 1690, '갖추다': 1691, '새다': 1692, '깨닫다': 1693, '옴': 1694, '점줌': 1695, '뿐이다': 1696, '옳다': 1697, '아이돌': 1698, '미모': 1699, '던지다': 1700, '마저': 1701, '모자라다': 1702, 'ㅅ': 1703, '돌아보다': 1704, '외모': 1705, '낼': 1706, '외화': 1707, '포인트': 1708, '향': 1709, '리': 1710, '백': 1711, '부자': 1712, '불': 1713, '이만': 1714, '부부': 1715, '지우다': 1716, '신경': 1717, '방향': 1718, '쥐다': 1719, '감탄': 1720, '살이': 1721, '고뇌': 1722, 'ㅠㅜ': 1723, '딴': 1724, '확인': 1725, '행복': 1726, '색감': 1727, '무료': 1728, '안습': 1729, '께서': 1730, '배역': 1731, '거부': 1732, '목숨': 1733, '라스트': 1734, '호감': 1735, '사무라이': 1736, '지저분하다': 1737, '워': 1738, '우와': 1739, '충실하다': 1740, '코드': 1741, '만세': 1742, '늙다': 1743, 'ㄴ': 1744, '마이': 1745, '감정이입': 1746, '옷': 1747, '지나가다': 1748, '수록': 1749, '짬뽕': 1750, '김기덕': 1751, '버': 1752, '여행': 1753, '후기': 1754, '명장': 1755, '이자': 1756, '대가': 1757, '일주일': 1758, '살인마': 1759, '잖다': 1760, '악': 1761, '과도': 1762, '굿굿': 1763, '세번': 1764, '커서': 1765, '확': 1766, '일으키다': 1767, '동물': 1768, '만큼은': 1769, '곳곳': 1770, '복선': 1771, '입장': 1772, '잭': 1773, '이전': 1774, '꼬': 1775, '에만': 1776, '이니까': 1777, '이구': 1778, '시종일관': 1779, '본인': 1780, '자꾸': 1781, '패': 1782, '방영': 1783, '으론': 1784, '토마스': 1785, '매': 1786, '의리': 1787, '그지같다': 1788, '액션씬': 1789, '첨으로': 1790, '냥': 1791, '태국': 1792, '한참': 1793, '단연': 1794, '뺏다': 1795, '낳다': 1796, '캐리': 1797, '지상파': 1798, '인터스텔라': 1799, '젠': 1800, '시청': 1801, '연극': 1802, '껏': 1803, '학살': 1804, '쩐다': 1805, '투자': 1806, '부럽다': 1807, '역량': 1808, '이니': 1809, '억지로': 1810, '절제': 1811, '높이다': 1812, '장혁': 1813, '지도': 1814, '성공': 1815, '광구': 1816, '주성치': 1817, '든지': 1818, '흡입': 1819, '긴박': 1820, '애절하다': 1821, '죄다': 1822, '쉬': 1823, '데리': 1824, '척': 1825, '수많다': 1826, '인터넷': 1827, '돼지': 1828, '흘러가다': 1829, '미드': 1830, '집착': 1831, '사수': 1832, '진리': 1833, '배신': 1834, '개성': 1835, '납득': 1836, '붙이다': 1837, '과의': 1838, '와의': 1839, '일찍': 1840, '끔찍하다': 1841, '맥': 1842, '해결': 1843, '성은': 1844, '막히다': 1845, '유럽': 1846, '단순': 1847, '갠': 1848, '메시지': 1849, '부작': 1850, '으로써': 1851, '설득': 1852, '엇': 1853, '이어서': 1854, '고맙다': 1855, '번은': 1856, '국어': 1857, '그걸': 1858, '겉': 1859, '내면': 1860, '놀랍다': 1861, '깎다': 1862, '여인': 1863, '조작': 1864, '촌스럽다': 1865, '가리다': 1866, '꼴': 1867, '헤어지다': 1868, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 1869, '색깔': 1870, '분동': 1871, '겁니다': 1872, '엑소시스트': 1873, '올라가다': 1874, '값': 1875, '주제가': 1876, '인가요': 1877, '와는': 1878, '오는': 1879, '오버': 1880, '마이너스': 1881, '이도': 1882, '표': 1883, '기발하다': 1884, '발상': 1885, '이끌다': 1886, '만들기': 1887, '봣는데': 1888, '영웅본색': 1889, '영구': 1890, '니깐': 1891, '힘내다': 1892, '얘': 1893, '무술': 1894, '칼': 1895, '영향': 1896, '의상': 1897, '태도': 1898, '가시': 1899, '찬': 1900, '성의': 1901, '화일': 1902, '한가지': 1903, '우베': 1904, '가난하다': 1905, '리지': 1906, '고독': 1907, '향연': 1908, '편도': 1909, '어휴': 1910, '빡치다': 1911, '마을': 1912, '따로': 1913, '졸리': 1914, '최': 1915, '로우': 1916, '맺다': 1917, '나와라': 1918, '이민기': 1919, '만남': 1920, '휴머니즘': 1921, '탑': 1922, '즐거움': 1923, '일품': 1924, '김희선': 1925, '만족': 1926, '던데': 1927, '들어주다': 1928, '이별': 1929, '도르다': 1930, '디': 1931, '달달': 1932, '없어지다': 1933, '쥐': 1934, '넘어서다': 1935, '조용하다': 1936, '전문가': 1937, '쩌': 1938, '풍': 1939, '길이': 1940, '펭귄': 1941, '오브': 1942, '박보영': 1943, '티나': 1944, '유리': 1945, '왠': 1946, '극치': 1947, '깜짝': 1948, '거야': 1949, '한국인': 1950, '골': 1951, '넹': 1952, '블레이드': 1953, '실': 1954, '웬': 1955, '일부러': 1956, '정의': 1957, '루즈': 1958, '헐리웃': 1959, '박하다': 1960, '하루': 1961, '금': 1962, '젊다': 1963, '홀로': 1964, '새삼': 1965, '앉다': 1966, '만화책': 1967, '신인': 1968, '대학교': 1969, '애쓰다': 1970, 'ㄷㄷㄷ': 1971, '의문': 1972, '많아지다': 1973, '여기다': 1974, '단어': 1975, '맡다': 1976, '뛰어넘다': 1977, '마이클': 1978, '내일': 1979, '극본': 1980, '중학교': 1981, '어차피': 1982, '무리': 1983, '짱짱맨': 1984, '유발': 1985, '풍경': 1986, '용이': 1987, '겁': 1988, '참나': 1989, '아기': 1990, '화답': 1991, '영활': 1992, '킹': 1993, '거품': 1994, '전투': 1995, '적당': 1996, '인권': 1997, '각자': 1998, '묻히다': 1999, '한결같다': 2000, '날리다': 2001, '무기': 2002, '보임': 2003, '사진': 2004, '심지어': 2005, '삭제': 2006, '분량': 2007, '션': 2008, '양반': 2009, '꾼': 2010, '시선': 2011, '틀리다': 2012, '포': 2013, '조여정': 2014, '한지': 2015, '기차': 2016, '힐링': 2017, '신데렐라': 2018, '객관': 2019, '혹평': 2020, '재밋음': 2021, '몸매': 2022, '부모': 2023, '벗다': 2024, '낮추다': 2025, '정재영': 2026, '한정': 2027, '곧': 2028, '러시아': 2029, '자연스럽다': 2030, '웅장': 2031, '배경음악': 2032, '카리스마': 2033, '대신': 2034, '로움': 2035, '애니매이션': 2036, '으로만': 2037, '생활': 2038, '넘기다': 2039, '명불허전': 2040, '뜻': 2041, '시청자': 2042, '호구': 2043, '누': 2044, '환장하다': 2045, '토': 2046, '잠깐': 2047, '누나': 2048, '스텝': 2049, '기존': 2050, '전이': 2051, '열자': 2052, '선사': 2053, '고전': 2054, '우선': 2055, '빈': 2056, '졸잼': 2057, '잡': 2058, '혼란': 2059, '송혜교': 2060, '젠장': 2061, '파괴': 2062, '사기': 2063, '맨날': 2064, '빠순이': 2065, '찬사': 2066, '장애인': 2067, '나소': 2068, '뜬금없이': 2069, '놀다': 2070, '전락': 2071, '의하다': 2072, '통': 2073, '지지': 2074, '특수': 2075, '민': 2076, '자라': 2077, '울면': 2078, '세월': 2079, '임권택': 2080, '금보': 2081, '등록': 2082, '둘째': 2083, '지대': 2084, '보통': 2085, '기자': 2086, '조카': 2087, '컬트': 2088, '국가': 2089, 'ㅋㅋㅋㅋㅋㅋㅋ': 2090, '바다': 2091, '절정': 2092, '근래': 2093, '캐': 2094, '아누': 2095, '떨리다': 2096, '신고': 2097, '절대로': 2098, '성적': 2099, '신념': 2100, '화질': 2101, '웬만하다': 2102, '새벽': 2103, '완벽': 2104, '붙다': 2105, '풋풋하다': 2106, '리들리': 2107, '스콧': 2108, '그렇다고': 2109, '허허': 2110, '정선': 2111, '찌질하다': 2112, '영화사': 2113, '선물': 2114, '세트': 2115, '틱': 2116, '틀어주다': 2117, '그야말로': 2118, '원표': 2119, '닮다': 2120, '흑백': 2121, '임팩트': 2122, '포스': 2123, '본성': 2124, '탈출': 2125, '쌍': 2126, '발전': 2127, '흉내': 2128, '김치': 2129, '승리': 2130, '번역': 2131, '금발': 2132, '용의': 2133, '월드': 2134, '멍': 2135, '처': 2136, '선동': 2137, '제외': 2138, '하고는': 2139, '반드시': 2140, '로서': 2141, '보고오다': 2142, '제작자': 2143, '장점': 2144, '묘': 2145, '정말로': 2146, '회사': 2147, '차이': 2148, '사운드': 2149, '분장': 2150, '혹': 2151, '롱': 2152, '유덕화': 2153, '생기': 2154, '상관': 2155, '낫': 2156, '한텐': 2157, '인형': 2158, '반감': 2159, '어린시절': 2160, '지옥': 2161, '지하철': 2162, '어거지': 2163, '아자': 2164, '영화감독': 2165, '으으': 2166, '포장': 2167, '하드': 2168, '순수': 2169, '지고': 2170, '뉴스': 2171, '하니': 2172, '슈퍼맨': 2173, '뭥미': 2174, '시골': 2175, '스틱': 2176, '미녀': 2177, '효': 2178, '원숭이': 2179, '일부': 2180, '눈치': 2181, '후회되다': 2182, '쩝': 2183, '으로나': 2184, '견디다': 2185, '병': 2186, '고추': 2187, '교수': 2188, '김수현': 2189, '몽환': 2190, '사용': 2191, '쌈': 2192, '훨': 2193, '경험': 2194, '만도': 2195, '빨다': 2196, '최강': 2197, '시사회': 2198, '흑역사': 2199, '참으로': 2200, '감히': 2201, '절반': 2202, '구로': 2203, '깨': 2204, '그만큼': 2205, '재주': 2206, '데이': 2207, '칠': 2208, '시트콤': 2209, '성찰': 2210, '너무도': 2211, '박평': 2212, '방금': 2213, '도시': 2214, '풀': 2215, '새록새록': 2216, '꽃': 2217, '알파': 2218, '치노': 2219, '다섯': 2220, '똑바로': 2221, '로나': 2222, '검사': 2223, '퍼즐': 2224, '왕자': 2225, '인들': 2226, '소장': 2227, '이래서': 2228, '야동': 2229, '밀려오다': 2230, '때우다': 2231, '베일': 2232, '마약': 2233, '다크나이트': 2234, '일드': 2235, '파다': 2236, '링': 2237, '이의': 2238, '요리': 2239, '풋': 2240, '초적': 2241, '떠오르다': 2242, '주윤발': 2243, '징그럽다': 2244, '저희': 2245, '불구': 2246, '깡패': 2247, '계시다': 2248, '악마': 2249, '무난': 2250, '주위': 2251, '깨알': 2252, '주변': 2253, '망치': 2254, '강제': 2255, '이혼': 2256, '어색': 2257, '아마추어': 2258, '실험': 2259, '무언가': 2260, '직전': 2261, '공주': 2262, '재수없다': 2263, 'ㅠㅠㅠㅠ': 2264, '나비': 2265, '지드래곤': 2266, '덕': 2267, '로맨틱': 2268, '포함': 2269, '정리': 2270, '남아': 2271, '줄알': 2272, '패턴': 2273, '개그맨': 2274, '꼬마': 2275, '센스': 2276, '인기': 2277, '케로로': 2278, '및': 2279, '셋': 2280, '미스': 2281, '컨셉': 2282, '출발': 2283, '의사': 2284, '얼마': 2285, '오로라': 2286, '녀석': 2287, '파리': 2288, '최후': 2289, '욬': 2290, '잠들다': 2291, '점준': 2292, '불러일으키다': 2293, '안성기': 2294, '드림': 2295, '천사': 2296, '짜이다': 2297, '여러가지': 2298, '멍하다': 2299, '몇개': 2300, '양조위': 2301, '차원': 2302, '비슷': 2303, '대통령': 2304, '철': 2305, '청': 2306, '단체': 2307, '교양': 2308, '박찬욱': 2309, '잔혹': 2310, '각색': 2311, '작위': 2312, '용가리': 2313, '씨발': 2314, '토끼': 2315, '음식': 2316, '한국말': 2317, '가관': 2318, '정유미': 2319, '채': 2320, '로맨틱코미디': 2321, '보호': 2322, '찬양': 2323, '위원회': 2324, '기획': 2325, '집단': 2326, '욕망': 2327, '흔': 2328, '프레데터': 2329, '대표': 2330, '품': 2331, '저리': 2332, '찡': 2333, '재방': 2334, '워낙': 2335, '고로': 2336, '논': 2337, '동호': 2338, '사상': 2339, '아치': 2340, '현상': 2341, '치밀하다': 2342, '중년': 2343, '본적': 2344, '하아': 2345, '고본': 2346, '어깨': 2347, '뎀': 2348, '의심': 2349, '퍼펙트': 2350, '다이하드': 2351, '메이': 2352, '어쩜': 2353, '에혀': 2354, '아놀드': 2355, '합치다': 2356, '기독교': 2357, '하나님': 2358, '태양': 2359, '인내심': 2360, '속지': 2361, '삼다': 2362, '재미나': 2363, '피해자': 2364, '대부': 2365, '매번': 2366, '어마어마하다': 2367, '색': 2368, '만족스럽다': 2369, '디스': 2370, '옥': 2371, '꿈꾸다': 2372, '여정': 2373, '박': 2374, '아기자기하다': 2375, '소방관': 2376, '범': 2377, '어쩌면': 2378, '톰': 2379, '언젠가': 2380, '부다': 2381, '오랫': 2382, '나오니': 2383, '물들다': 2384, '성폭행': 2385, '한석규': 2386, '공중파': 2387, '그거': 2388, '서극': 2389, '어쩌라고': 2390, '깨우다': 2391, '너희': 2392, '진수': 2393, '다해': 2394, '린': 2395, '윤계상': 2396, '엽문': 2397, '별하나': 2398, '놀이': 2399, '실소': 2400, '꾸미다': 2401, '따분하다': 2402, '천녀유혼': 2403, '외설': 2404, '진짜진짜': 2405, '설마': 2406, '시험': 2407, '사장': 2408, '스페인': 2409, '잔뜩': 2410, '상투': 2411, '에반게리온': 2412, '눈빛': 2413, '구라': 2414, '신기': 2415, '전성기': 2416, '파격': 2417, '웨스턴': 2418, '덜하다': 2419, '베다': 2420, '벗어나다': 2421, '허준': 2422, '만큼도': 2423, '하고도': 2424, '목사': 2425, '모순': 2426, '마동석': 2427, '최초': 2428, '뒤늦다': 2429, '자유롭다': 2430, '주더': 2431, '직접': 2432, '대부분': 2433, '질주': 2434, '구석': 2435, '려고': 2436, '감사': 2437, '게뭐': 2438, '들보': 2439, '넌': 2440, '보장': 2441, '정우성': 2442, '오르다': 2443, '배트맨': 2444, '판단': 2445, '맙시': 2446, '호기심': 2447, '현대': 2448, '에이': 2449, '싹': 2450, '모범': 2451, '웰': 2452, '리브': 2453, '쭉': 2454, '여기저기': 2455, '매끄럽다': 2456, '인지도': 2457, '바닥': 2458, '뜯다': 2459, '뒤지다': 2460, '이군': 2461, '도입': 2462, '존내': 2463, '볼걸': 2464, '기사': 2465, '심오하다': 2466, '탄압': 2467, '계기': 2468, '겉멋': 2469, '정당하다': 2470, '마련': 2471, '늘리다': 2472, 'ㅂㅅ': 2473, '어떡하다': 2474, '부로': 2475, '총알': 2476, '무게': 2477, '전라도': 2478, '나뉘다': 2479, 'ㅅㅅ': 2480, '할아버지': 2481, '화구': 2482, '고수': 2483, '찌': 2484, '할리우드': 2485, '압축': 2486, '가득': 2487, '서기': 2488, '허구': 2489, '도통': 2490, '밴드': 2491, '이외': 2492, '스릴러물': 2493, '이어지다': 2494, '극복': 2495, '론': 2496, '간첩': 2497, '대면': 2498, '솔': 2499, '끼': 2500, '조정': 2501, '메인': 2502, '조각': 2503, '천만': 2504, '짐승': 2505, '우기다': 2506, '로렌스': 2507, '하락': 2508, '할머니': 2509, '열리다': 2510, '강력': 2511, '지독하다': 2512, '장동건': 2513, '짓다': 2514, '상대': 2515, '클라라': 2516, '두번째': 2517, '만큼이나': 2518, '한국판': 2519, '임요환': 2520, '역작': 2521, '엽기': 2522, '두렵다': 2523, '자매': 2524, '에서나': 2525, '부디': 2526, '내공': 2527, '이상은': 2528, '조니뎁': 2529, '달콤하다': 2530, '빼놓다': 2531, '죄송하다': 2532, '쯧쯧': 2533, '영화배우': 2534, '얼': 2535, '버킷리스트': 2536, '어떻': 2537, '어딘가': 2538, '초기': 2539, '일만': 2540, '오오': 2541, '능가': 2542, '깨끗하다': 2543, '유지태': 2544, '비현실적': 2545, '납치': 2546, '초점': 2547, '후지': 2548, '로코': 2549, '캬': 2550, '타고': 2551, '차승원': 2552, '스티븐': 2553, '레': 2554, '곡': 2555, '서서히': 2556, '찾기': 2557, '어우러지다': 2558, '케': 2559, '시사': 2560, 'ㅎㄷㄷ': 2561, '섹시': 2562, '달려들다': 2563, '부자연스럽다': 2564, '탁월하다': 2565, '김구라': 2566, '신동엽': 2567, '냄새': 2568, '엉뚱하다': 2569, '어쩌': 2570, '대하': 2571, '축구': 2572, '명품': 2573, '슈퍼': 2574, '앤드류': 2575, '깜놀': 2576, '보나': 2577, '혀': 2578, '으로가': 2579, '베': 2580, '접근': 2581, '비정상': 2582, '린즈링': 2583, '겨우': 2584, '해석': 2585, '승부': 2586, '종': 2587, '말고는': 2588, '깨다': 2589, '가을': 2590, '아마': 2591, '빅': 2592, '잘알다': 2593, '차마': 2594, '한수': 2595, '요구': 2596, '초월': 2597, '빵': 2598, '어처구니': 2599, '가능': 2600, '당대': 2601, '지경': 2602, '생명': 2603, '용암': 2604, '콜린': 2605, '모으다': 2606, '벌어지다': 2607, '땀': 2608, '케미': 2609, '연속': 2610, '고프다': 2611, '에야': 2612, '선정': 2613, '닥': 2614, '서부': 2615, '평화': 2616, '달인': 2617, '가야': 2618, '장나라': 2619, '옮기다': 2620, '타란티노': 2621, '역쉬': 2622, '중독': 2623, '주말': 2624, '널': 2625, '홍': 2626, '놓치다': 2627, '만원': 2628, '에게나': 2629, '고등학교': 2630, '살인자': 2631, '리기': 2632, '우연': 2633, '복잡하다': 2634, '이승환': 2635, '소박하다': 2636, '더불다': 2637, '농담': 2638, '자유': 2639, '살아오다': 2640, '본질': 2641, '스크린': 2642, '엄정화': 2643, '듬': 2644, '환경': 2645, '원피스': 2646, '파라': 2647, '노말': 2648, '장선우': 2649, '부실하다': 2650, '꺼지다': 2651, '간직': 2652, '한장': 2653, '이러니': 2654, '흐지부지': 2655, '심정': 2656, '남지': 2657, '개콘': 2658, '요새': 2659, '쨋': 2660, '시각': 2661, '노인': 2662, '구경': 2663, '이병헌': 2664, '미도': 2665, '예체능': 2666, '옴니버스': 2667, '불행하다': 2668, '에드워드': 2669, '은은하다': 2670, '팀': 2671, '벌': 2672, '고해': 2673, '한동안': 2674, '주목': 2675, '여왕': 2676, '친': 2677, '틈': 2678, '장만옥': 2679, '려': 2680, '코끼리': 2681, '강시': 2682, '모음': 2683, '님들': 2684, '매다': 2685, '용감하다': 2686, '모험': 2687, '담': 2688, '능': 2689, '프레디': 2690, '하든': 2691, '감흥': 2692, '햇음': 2693, '습': 2694, '편안하다': 2695, '숨기다': 2696, '크리스틴': 2697, '쓴다': 2698, '명확하다': 2699, '하고프다': 2700, '일반인': 2701, '결코': 2702, '남발': 2703, '조커': 2704, '무어': 2705, '전투씬': 2706, '딸리다': 2707, '강동원': 2708, '예측': 2709, '대본': 2710, '투표': 2711, '본능': 2712, '지네': 2713, '떄': 2714, '살아나다': 2715, '단조롭다': 2716, '이웃': 2717, '유대인': 2718, '대상': 2719, '팍': 2720, '그건': 2721, '덜': 2722, '박진': 2723, '아바타': 2724, '성공하다': 2725, '서인국': 2726, '때매': 2727, '맥스': 2728, '빅뱅': 2729, '불필요하다': 2730, '밝다': 2731, '아내': 2732, '베리': 2733, '사귀다': 2734, '쓸쓸하다': 2735, '키드': 2736, '기용': 2737, '절절': 2738, '반성': 2739, '열다': 2740, '설': 2741, '각': 2742, '무대': 2743, '업': 2744, '목': 2745, '형사': 2746, '바디': 2747, '로마': 2748, '오프닝': 2749, '여러분': 2750, '컴퓨터': 2751, '기키': 2752, '애틋하다': 2753, '전쟁영화': 2754, '뽕': 2755, '부터는': 2756, '샘': 2757, '땅': 2758, '키스': 2759, '뱀파이어': 2760, '의지': 2761, '응': 2762, '편견': 2763, '상관없다': 2764, '불법': 2765, '세뇌': 2766, '밝혀지다': 2767, '지원': 2768, '빛나다': 2769, '당당하다': 2770, '손대다': 2771, '개신교': 2772, '복제': 2773, '솜씨': 2774, '화의': 2775, '아아': 2776, '입사': 2777, '킬링': 2778, '연상': 2779, '괴롭다': 2780, '모니카': 2781, '브루스': 2782, '착각': 2783, '퍼포먼스': 2784, '권력': 2785, '짐작': 2786, '가게': 2787, '군더더기': 2788, '비노': 2789, '내리다': 2790, '삼국지': 2791, '듭니': 2792, '난뒤': 2793, '놀람': 2794, '밖': 2795, '좆': 2796, '잡고': 2797, '엑스트라': 2798, 'ㅄ': 2799, '드디어': 2800, '온몸': 2801, '감싸다': 2802, '졸업': 2803, '구분': 2804, '필드': 2805, '궁금': 2806, '일반': 2807, '비정하다': 2808, '맑다': 2809, '그리움': 2810, '제임스': 2811, '완': 2812, '도데': 2813, '와이프': 2814, '잃어버리다': 2815, '어지럽다': 2816, '교회': 2817, '먹음': 2818, '헛웃음': 2819, '참패': 2820, '다우니': 2821, '출신': 2822, '태': 2823, '인격': 2824, '오글오글': 2825, '나루토': 2826, '섞이다': 2827, '여동생': 2828, '였음': 2829, '어째': 2830, '나은': 2831, '안목': 2832, '거울': 2833, '리차드': 2834, '무리수': 2835, '오싹하다': 2836, '뻥': 2837, '머리스타일': 2838, '판치다': 2839, '몸짓': 2840, '미국인': 2841, '하디': 2842, '간지': 2843, '완젼': 2844, '실상': 2845, '스타워즈': 2846, '닷': 2847, '머릿속': 2848, '폭발': 2849, '격': 2850, '단점': 2851, '가짜': 2852, '비참하다': 2853, '근본': 2854, '가운데': 2855, '인류': 2856, '치르다': 2857, '백배': 2858, '가르치다': 2859, '달라': 2860, '널다': 2861, '막상': 2862, '별거': 2863, '유선': 2864, '정치인': 2865, '판이': 2866, '무너지다': 2867, '이용': 2868, '황': 2869, '최대': 2870, '불안하다': 2871, '루이스': 2872, '신하균': 2873, '배급사': 2874, '라기': 2875, '수능': 2876, '완죤': 2877, '각각': 2878, '먼지': 2879, '횡설수설': 2880, '게스트': 2881, '싱어': 2882, '싸이코패스': 2883, '별개': 2884, '에서야': 2885, '야경': 2886, '즉': 2887, '엑소': 2888, '이이이': 2889, '가나': 2890, '고도': 2891, '상승': 2892, '태안': 2893, '업그레이드': 2894, '댓글알바': 2895, '영화평론가': 2896, '가해자': 2897, '이겠다': 2898, '일지': 2899, '일일': 2900, '불후': 2901, '절망': 2902, '펴다': 2903, '스포': 2904, '공연': 2905, '드물다': 2906, '건데': 2907, '활동': 2908, '독립': 2909, '시리': 2910, '신뢰': 2911, '이정재': 2912, '상어': 2913, '택': 2914, '미션임파서블': 2915, '만치': 2916, '짝사랑': 2917, '설레임': 2918, '미가': 2919, '압도': 2920, '압': 2921, '민중': 2922, '소매치기': 2923, '실수': 2924, '김래원': 2925, '여유': 2926, '푸다': 2927, '띄우다': 2928, '지기': 2929, '니콜라스': 2930, '케이': 2931, '도망가다': 2932, '소품': 2933, '비행기': 2934, '인셉션': 2935, '잉': 2936, '시간여행': 2937, '랑은': 2938, '두뇌': 2939, '곤': 2940, '이틀': 2941, '애니스톤': 2942, '렌트': 2943, '안내': 2944, '전기': 2945, '여름': 2946, '조롱': 2947, '전통': 2948, '호러영화': 2949, '부드럽다': 2950, '나오미': 2951, '찍': 2952, '따지다': 2953, '장난감': 2954, '아이언맨': 2955, '댄서': 2956, '공개': 2957, '멜로영화': 2958, '담백하다': 2959, '예술가': 2960, '권상우': 2961, '평타': 2962, '기간': 2963, '라이': 2964, '비호감': 2965, '캐릭': 2966, '오씨': 2967, '베드': 2968, '신세경': 2969, '파워': 2970, '공유': 2971, '김민종': 2972, '참여': 2973, '녹화': 2974, '테이프': 2975, '치우다': 2976, '가수': 2977, '상업': 2978, '총장': 2979, '대학': 2980, '밖엔': 2981, '물의': 2982, '일본인': 2983, '멋대로': 2984, '배려': 2985, '눈꼽': 2986, '켜다': 2987, '민주주의': 2988, '마틴': 2989, '인종차별': 2990, '지역': 2991, '밟다': 2992, '도가니': 2993, '빙빙': 2994, '평작': 2995, '신세계': 2996, '도구로': 2997, '층': 2998, '뉴': 2999, '학': 3000, '라곤': 3001, '팍팍': 3002, '비롯': 3003, '또는': 3004, '경이': 3005, '민간인': 3006, '변명': 3007, '떠돌다': 3008, '루비': 3009, '포드': 3010, '표본': 3011, '대원': 3012, '소수': 3013, '요란하다': 3014, '짜임새': 3015, '난잡하다': 3016, '기전': 3017, '불교': 3018, '제왕': 3019, '박중훈': 3020, '오늘날': 3021, '임청하': 3022, '마녀': 3023, '재난': 3024, '답지': 3025, '나아지다': 3026, '버금': 3027, '테스트': 3028, '한적': 3029, '케빈': 3030, '메리': 3031, '파커': 3032, '형태': 3033, '오지': 3034, '놀래다': 3035, '휴가': 3036, '개선': 3037, '걸왜': 3038, '분명': 3039, '짱구': 3040, '히나타': 3041, '급전': 3042, '우아하다': 3043, '첩보': 3044, '메이드': 3045, '콘스탄틴': 3046, '낙': 3047, '일요일': 3048, '낭만': 3049, '분신': 3050, '개막': 3051, '히치콕': 3052, '함부로': 3053, '기계': 3054, '바쁘다': 3055, '찾아가다': 3056, '측면': 3057, '토미': 3058, '래야': 3059, '광기': 3060, '권위': 3061, '정책': 3062, '구림': 3063, '택시': 3064, '정확하다': 3065, '고증': 3066, '어딨다': 3067, '아르': 3068, '관객수': 3069, '알아차리다': 3070, '달라지다': 3071, '튀다': 3072, '애초': 3073, '킁': 3074, '내려가다': 3075, '주관': 3076, '부진': 3077, '혐오': 3078, '신곡': 3079, '샤이니': 3080, '에이핑크': 3081, '정은지': 3082, '수지': 3083, '첫사랑': 3084, '생략': 3085, '바치다': 3086, '적도': 3087, '똑같이': 3088, '삼성': 3089, '이던': 3090, '런닝타임': 3091, '성동일': 3092, '앞서다': 3093, '드러나다': 3094, '삶다': 3095, '룩': 3096, '황금': 3097, '동성애': 3098, '휼륭하다': 3099, '제이슨': 3100, '람보': 3101, '록키': 3102, '해봤다': 3103, '커녕': 3104, '추가': 3105, '잡스': 3106, '범벅': 3107, '야구': 3108, '질감': 3109, '홍금보': 3110, '강요': 3111, '독일': 3112, '다수': 3113, '사만': 3114, '의견': 3115, '소유': 3116, '위트': 3117, '인척': 3118, '아리다': 3119, '여고괴담': 3120, '밀': 3121, '박히다': 3122, '얼음': 3123, '배꼽': 3124, '아이디어': 3125, '아동': 3126, '장가': 3127, '공각기동대': 3128, '타르': 3129, '주인': 3130, '다크': 3131, '풍자': 3132, '와도': 3133, '아무렇다': 3134, '잔': 3135, '첨부': 3136, '라고는': 3137, '군인': 3138, '주장': 3139, '서른': 3140, '주님': 3141, '막다': 3142, '단막극': 3143, '년작': 3144, '장이': 3145, '조승우': 3146, '수애': 3147, '큐브': 3148, '장화홍련': 3149, '변화': 3150, '떨어뜨리다': 3151, '은퇴': 3152, '투척': 3153, '증거': 3154, '산이': 3155, '말리': 3156, '전지현': 3157, '달러': 3158, '쿵푸허슬': 3159, '조명': 3160, '비록': 3161, '지라': 3162, '안쓰럽다': 3163, '마찬가지': 3164, '스톤': 3165, '잘리다': 3166, '사촌동생': 3167, '알바생': 3168, '린치': 3169, '무간도': 3170, '흠잡다': 3171, '법정': 3172, '팬텀': 3173, '울음': 3174, '제라드': 3175, '버틀러': 3176, '취해': 3177, '장애': 3178, '대비': 3179, '커피': 3180, '끼치다': 3181, '설리': 3182, '미래': 3183, '리가': 3184, '죄책감': 3185, '낯선': 3186, '국적': 3187, '운동': 3188, '훈남': 3189, '게살': 3190, '화장실': 3191, '걸레': 3192, '정신병원': 3193, '망가지다': 3194, '수습': 3195, '엠마': 3196, '로버츠': 3197, '찜찜하다': 3198, '적나라하다': 3199, '고치다': 3200, '예고': 3201, '버그': 3202, '필립': 3203, '깡': 3204, '정치': 3205, '뎅': 3206, '팝콘': 3207, '가도': 3208, '성과': 3209, '대화': 3210, '천국': 3211, '진보': 3212, '건조하다': 3213, '그랬는데': 3214, '제적': 3215, '피아노': 3216, '피로': 3217, '도의': 3218, '이해도': 3219, '이미지': 3220, '뚝뚝': 3221, '끊기다': 3222, '라지': 3223, '제시카': 3224, '차리다': 3225, '삽질': 3226, '도망치다': 3227, '해대': 3228, '물건': 3229, '안이': 3230, '올레': 3231, '원주고': 3232, '센터': 3233, '케릭': 3234, '스텝업': 3235, '카피': 3236, '나타내다': 3237, '잡히다': 3238, '서스펜스': 3239, '료코': 3240, '차인표': 3241, '가기': 3242, '신화': 3243, '에릭': 3244, '호화': 3245, '재판': 3246, '짜깁다': 3247, '김지수': 3248, '회장': 3249, '한글': 3250, '거짓말': 3251, '어번': 3252, '가하다': 3253, '역활': 3254, '부탁드리다': 3255, '붉다': 3256, '합': 3257, '금지': 3258, '찔리다': 3259, '가슴속': 3260, '기승': 3261, '마마': 3262, '그나저나': 3263, '발음': 3264, '겨울': 3265, '손오공': 3266, '여명': 3267, '여신': 3268, '설치다': 3269, '정무문': 3270, '버티다': 3271, '교감': 3272, '존트라볼타': 3273, '외면': 3274, '거절': 3275, '헤어스타일': 3276, '잔혹하다': 3277, '여지': 3278, '킴': 3279, '퍼스': 3280, '박자': 3281, '프리': 3282, '자본': 3283, '이따': 3284, '알려지다': 3285, '스탤론': 3286, '셈': 3287, '서정': 3288, '세르게이': 3289, '보드': 3290, '행': 3291, '집안': 3292, '나니': 3293, '저주': 3294, '승': 3295, '떡밥': 3296, '욕먹다': 3297, '향수': 3298, '백인': 3299, '질투': 3300, '디카프리오': 3301, '대책': 3302, '깨달음': 3303, '후딱': 3304, '배다': 3305, '에플렉': 3306, '애정': 3307, '타이': 3308, '쉐리던': 3309, '영혼': 3310, '현대인': 3311, '남겨지다': 3312, '다세포': 3313, '안남': 3314, '대구': 3315, '일수': 3316, '뵈다': 3317, '담담하다': 3318, '해설': 3319, '모니터링': 3320, '집합': 3321, '빈약하다': 3322, '외로움': 3323, '허니': 3324, '예스': 3325, '어긋나다': 3326, '말르다': 3327, '다그': 3328, '출연료': 3329, '도둑': 3330, '가보': 3331, '광주': 3332, '즐': 3333, '명절': 3334, '김혜선': 3335, '극적': 3336, '기괴하다': 3337, '오유': 3338, '부대': 3339, '높아지다': 3340, '두근거리다': 3341, '요약': 3342, '통틀어': 3343, '결론': 3344, '이은주': 3345, '문학': 3346, '선전': 3347, '물다': 3348, '박정희': 3349, '나머진': 3350, '의학': 3351, '공리': 3352, '유지': 3353, '조잡하다': 3354, '폴': 3355, '순위': 3356, '조진웅': 3357, '자랑': 3358, '심다': 3359, '상징': 3360, '시청율': 3361, '흐뭇하다': 3362, '식이': 3363, '색채': 3364, '여태': 3365, '쓰러지다': 3366, '눈부시다': 3367, '만드': 3368, '당장': 3369, '중국산': 3370, '논란': 3371, '홍어': 3372, '이라고는': 3373, '경쾌하다': 3374, '면모': 3375, '크리스찬': 3376, '경악': 3377, '크리스': 3378, '미스캐스팅': 3379, '우리네': 3380, '죄인': 3381, '과대': 3382, '채플린': 3383, '벅차다': 3384, '구역': 3385, '후의': 3386, '호흡': 3387, '이승기': 3388, '써로게이트': 3389, '장편': 3390, '블랙코미디': 3391, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 3392, '벨라': 3393, '삼각관계': 3394, '놀란': 3395, '파트': 3396, '일리': 3397, '무당': 3398, '콩': 3399, '연습': 3400, '매일': 3401, '피하': 3402, '해피': 3403, '대변': 3404, '흥분': 3405, '바토리': 3406, '이종석': 3407, '누님': 3408, '미니': 3409, '크루즈': 3410, '장치': 3411, '떡': 3412, '재회': 3413, '출현': 3414, '대충': 3415, '야말로': 3416, '끊다': 3417, '오현경': 3418, 'ㅜㅜㅜ': 3419, '영호': 3420, '하트넷': 3421, '끝내주다': 3422, '다양하다': 3423, '지게': 3424, '틀': 3425, '잘나다': 3426, '러브스토리': 3427, '정상': 3428, '일본애니': 3429, '로드': 3430, '뜨겁다': 3431, '헤어': 3432, '벨': 3433, '커버': 3434, '개그콘서트': 3435, '도아': 3436, '박스오피스': 3437, '마저도': 3438, 'ㄷ': 3439, '올려주다': 3440, '존멋': 3441, '관계도': 3442, '접영': 3443, '행진': 3444, '시보': 3445, '민들레': 3446, '돌': 3447, '정보': 3448, '종이': 3449, '막심': 3450, '해달라다': 3451, '카': 3452, '황당': 3453, '톱': 3454, '이념': 3455, '몰락': 3456, '정돈': 3457, '낚이': 3458, '주온': 3459, '매주': 3460, '재탕': 3461, '주변인': 3462, '까지만': 3463, '스나이퍼': 3464, '절로': 3465, '장사': 3466, '느': 3467, '아담': 3468, '지나': 3469, '투성이': 3470, '재수': 3471, '크크': 3472, '괜': 3473, '강력하다': 3474, '일제': 3475, '사망': 3476, '갑': 3477, '아시아': 3478, '톤': 3479, '작화': 3480, '라퓨타': 3481, '은혜': 3482, '어지간하다': 3483, 'ㅏ': 3484, '그림자': 3485, '획': 3486, '핳': 3487, '인연': 3488, '클린트': 3489, '쉽다': 3490, '사르다': 3491, '스럽지': 3492, '트릭': 3493, '흑인': 3494, '발톱': 3495, '완존': 3496, '토니': 3497, '어루만지다': 3498, '직설': 3499, '슴': 3500, '거치다': 3501, '애매하다': 3502, '거지같다': 3503, '왜곡': 3504, '닌': 3505, '본드': 3506, '매드': 3507, '떠들다': 3508, '조장': 3509, '유명': 3510, '호강': 3511, '못자다': 3512, 'ㅜㅡ': 3513, '밧다': 3514, '용다': 3515, '겨울왕국': 3516, '대고': 3517, '준비': 3518, '화류': 3519, '낚임': 3520, '에여': 3521, '흥': 3522, '외다': 3523, '이소룡': 3524, '던': 3525, '훌쩍': 3526, '사로자다': 3527, '남자친구': 3528, '우드': 3529, '질린다': 3530, '번째': 3531, '성욕': 3532, '하품': 3533, '인도': 3534, '원주율': 3535, '찬란하다': 3536, '이정현': 3537, '정권': 3538, '코메디': 3539, '추': 3540, '연주': 3541, '거대하다': 3542, '저그': 3543, '자료': 3544, '볼땐': 3545, '감점': 3546, '반대': 3547, '비난': 3548, '안해': 3549, '예수님': 3550, '번개': 3551, '중후': 3552, '러셀': 3553, '크로우': 3554, '여부': 3555, '검술': 3556, '도쿄': 3557, '해리포터': 3558, '대중': 3559, '실패하다': 3560, '이서진': 3561, '가족영화': 3562, '패스': 3563, '대감': 3564, '하나같이': 3565, '주옥': 3566, '프레': 3567, '한경직': 3568, '나발': 3569, '기한': 3570, '킬러': 3571, '미스터리': 3572, '누르다': 3573, '도로': 3574, '디테': 3575, '언급': 3576, '퍼': 3577, '사람과': 3578, '로운': 3579, '분석': 3580, '맷': 3581, '데이먼': 3582, '은기': 3583, '마루': 3584, '글자': 3585, '가가': 3586, '자녀': 3587, '이안': 3588, '지치다': 3589, '소통': 3590, '반응': 3591, '김동완': 3592, '모야': 3593, '수없이': 3594, '해적': 3595, '텐데': 3596, '본격': 3597, '정화': 3598, '흥겹다': 3599, '읭': 3600, '박다': 3601, '말투': 3602, '꺾다': 3603, '깔리다': 3604, '초능력': 3605, '올라오다': 3606, '지내다': 3607, '아리': 3608, '혁명': 3609, '와사비': 3610, '손색': 3611, '이계인': 3612, '마음속': 3613, '마스터피스': 3614, '김태희': 3615, '에로영화': 3616, '악플': 3617, '리더': 3618, '참혹하다': 3619, '미묘하다': 3620, '자위': 3621, '영차': 3622, '무서움': 3623, '알맞다': 3624, '되돌리다': 3625, '디워': 3626, '토요명화': 3627, '차갑다': 3628, '심야식당': 3629, '복': 3630, '중국영화': 3631, '학원': 3632, '과학': 3633, '늑대': 3634, '유익하다': 3635, '안기다': 3636, '경지': 3637, '작렬': 3638, '클래식': 3639, '클레멘타인': 3640, '해명': 3641, '가정': 3642, '이드': 3643, '오로지': 3644, '아햏햏': 3645, '굿굿굿': 3646, '묵주': 3647, '에바': 3648, '인성': 3649, '헤': 3650, '어정쩡하다': 3651, '허풍': 3652, '짝짓기': 3653, '경쟁': 3654, '역사왜곡': 3655, '장군': 3656, '마돈나': 3657, '엄': 3658, '보삼': 3659, '모방': 3660, '엮': 3661, '풀리다': 3662, '민폐': 3663, '사도': 3664, '경우': 3665, '감독판': 3666, '빵터지다': 3667, '순도': 3668, '구혜선': 3669, '장근석': 3670, '멀리': 3671, '포뇨': 3672, '스키': 3673, '노트북': 3674, '장수': 3675, '용구성': 3676, '난후': 3677, '서프라이즈': 3678, '르': 3679, '발킬머': 3680, '실사': 3681, '감격': 3682, '성해': 3683, '해드리다': 3684, '정형': 3685, '로지': 3686, '장국영': 3687, '재탕하다': 3688, '고든': 3689, '마술': 3690, '쩌는듯': 3691, '동성': 3692, '히키코모리': 3693, '무관': 3694, '시민': 3695, '구해': 3696, '이구나': 3697, '군사': 3698, '주군': 3699, '빨갱이': 3700, '몬초': 3701, '이무영': 3702, '냉소': 3703, '치가': 3704, '잘봣습니': 3705, '고급스럽다': 3706, '세얼간이': 3707, '임신': 3708, '베이': 3709, '롯': 3710, '풍기다': 3711, 'ㄹㅇ': 3712, '가물가물': 3713, '재현': 3714, '저절로': 3715, '시르다': 3716, '박신혜': 3717, '봉하': 3718, '제법': 3719, '바베트': 3720, '만찬': 3721, '두근두근': 3722, '소유자': 3723, '정사': 3724, '긔': 3725, '이요원': 3726, '덩어리': 3727, '하숙집': 3728, '가왜': 3729, '불과': 3730, '볼일': 3731, '록': 3732, '스탁': 3733, '스모': 3734, '배럴': 3735, '교묘하다': 3736, '주시': 3737, '훨낫다': 3738, '기어': 3739, '알리': 3740, '등골': 3741, '고스트': 3742, '뚫리다': 3743, '메이크업': 3744, '스완': 3745, '따라서': 3746, 'ㅠㅠㅠㅠㅠ': 3747, '캄캄하다': 3748, '오줌': 3749, '오늘이': 3750, '여균동': 3751, '중국인': 3752, '조차도': 3753, '숭고하다': 3754, '상도': 3755, '닥터진': 3756, '힐러리': 3757, '파티': 3758, '춤추다': 3759, '뒷이야기': 3760, '뽀로로': 3761, '은평': 3762, '헷갈리다': 3763, '덜다': 3764, '나레이션': 3765, '아나운서': 3766, '작성': 3767, '대형': 3768, '강혜정': 3769, '흐': 3770, '숨막히다': 3771, '추잡하다': 3772, '이세영': 3773, '성숙하다': 3774, '흉내내': 3775, '피곤하다': 3776, '지능': 3777, '성숙': 3778, '책임감': 3779, '복싱': 3780, '사의': 3781, '때메': 3782, '상실': 3783, '그러하다': 3784, '공자': 3785, '속이다': 3786, '수위': 3787, '쏠리다': 3788, '봣음': 3789, '보고서': 3790, '나약하다': 3791, '성유리': 3792, '사주다': 3793, '변신': 3794, '예나': 3795, '젊음': 3796, '널리': 3797, '긴박하다': 3798, '강대국': 3799, '남일': 3800, '네티즌': 3801, '인식': 3802, '전인': 3803, '비치': 3804, 'ㅂ': 3805, '이기도': 3806, '불꽃': 3807, '홍진호': 3808, '자제': 3809, '무방': 3810, '대가리': 3811, '탄탄': 3812, '이런저런': 3813, '사업': 3814, '지침': 3815, '전도연': 3816, '삼만리': 3817, '뱉다': 3818, '방화': 3819, '실종': 3820, '욕심': 3821, '요정': 3822, '비장': 3823, '미사일': 3824, '근대': 3825, '기리': 3826, '염치': 3827, '주원': 3828, '나인': 3829, '억이': 3830, '다가': 3831, '정말루': 3832, '줄리': 3833, '런': 3834, '이랑은': 3835, '집기': 3836, '치아': 3837, '조선': 3838, '장영': 3839, '소개': 3840, '표기': 3841, '알아보다': 3842, '대판': 3843, '폐지': 3844, '으헝': 3845, '해지': 3846, '충': 3847, '투자자': 3848, '다듬어지다': 3849, '복습': 3850, '뒷받침': 3851, '부탁': 3852, '고급': 3853, '장병': 3854, '작자': 3855, '진솔하다': 3856, '최곤데': 3857, '다가가다': 3858, '몬': 3859, '쩌네': 3860, '찰리채플린': 3861, '해바라기': 3862, '의아': 3863, '생가': 3864, '필요성': 3865, '볼타': 3866, '대요': 3867, '구심': 3868, '한두': 3869, '결승전': 3870, '탈피': 3871, '지니어스': 3872, '퇴색': 3873, '지껄이다': 3874, '공효진': 3875, '콧대': 3876, '왼쪽': 3877, '옹': 3878, '흡사하다': 3879, '복녀': 3880, '균': 3881, '접함': 3882, '그러니까': 3883, '자화상': 3884, '식스센스': 3885, '류작': 3886, '망설이다': 3887, '금성무': 3888, '동의': 3889, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 3890, '벌이다': 3891, '탁': 3892, '송승헌': 3893, '믿어지다': 3894, '이기광': 3895, '유투브': 3896, '우수하다': 3897, '금은': 3898, '예진': 3899, '난감하다': 3900, '어어': 3901, '애국': 3902, '오랫동안': 3903, '도와주다': 3904, '우울증': 3905, '타락': 3906, '감옥': 3907, '꼴다': 3908, '존슨': 3909, '충청도': 3910, '고요': 3911, '광해': 3912, '치킨': 3913, '구식': 3914, '애니메': 3915, '재방송': 3916, '전함': 3917, '미취': 3918, '초등': 3919, '데이빗': 3920, '에러': 3921, '어르신': 3922, '주민': 3923, '주자': 3924, '그치다': 3925, '꼽': 3926, '아이고': 3927, '콱': 3928, '어딜': 3929, '본영': 3930, '빠': 3931, 'ㅣ': 3932, '파치노': 3933, '브라이언': 3934, '창피하다': 3935, 'ㅍ': 3936, '테크노': 3937, '그토록': 3938, '현빈': 3939, '사랑과전쟁': 3940, '장판': 3941, '최하': 3942, '갱': 3943, '리좀': 3944, '로다': 3945, '왕가위': 3946, '건축': 3947, '건축가': 3948, '한몫': 3949, '모니터': 3950, '미리': 3951, '찍어내다': 3952, '가부장': 3953, '제프': 3954, '브리': 3955, '놀': 3956, '영양가': 3957, '뭐임': 3958, '드래곤볼': 3959, '가져오다': 3960, '반지의제왕': 3961, '왤케': 3962, '허영': 3963, '조건': 3964, '노동': 3965, '주요': 3966, '전용': 3967, '사나이': 3968, '지리': 3969, '디자인': 3970, '육': 3971, '황홀하다': 3972, '경향': 3973, '우디': 3974, '조센징': 3975, '절때': 3976, '녹이다': 3977, '퇴보하다': 3978, '유치원': 3979, '주체': 3980, '또다시': 3981, '바랬는데': 3982, '신사': 3983, '꼬맹이': 3984, '마는': 3985, '접해': 3986, '출생': 3987, '적히다': 3988, '마디': 3989, '일그러지다': 3990, '희극': 3991, '말초신경': 3992, '김서형': 3993, '발생': 3994, '축소': 3995, '처리': 3996, '전차': 3997, '임창정': 3998, '칭송': 3999, '장통': 4000, '판도': 4001, '제기': 4002, '호러물': 4003, '주류': 4004, '무색': 4005, '소스': 4006, '큐': 4007, '쫄깃쫄깃': 4008, '하수': 4009, '구가': 4010, '주신': 4011, '봣던': 4012, '김민준': 4013, '김수로': 4014, '데이트': 4015, '멸망': 4016, '자세하다': 4017, '뭘말': 4018, '투철': 4019, '어필': 4020, '못만드': 4021, '김승우': 4022, '일정': 4023, '성취': 4024, '만들엇네': 4025, '엠비씨': 4026, '조기': 4027, '무척': 4028, '하얗다': 4029, '유령': 4030, '알리시아': 4031, '럭': 4032, '에든': 4033, '쏘우': 4034, '로또': 4035, '습작': 4036, '함축': 4037, '히스': 4038, '스킬': 4039, '별루임': 4040, '중딩': 4041, '욕구': 4042, '나날이': 4043, '밸런스': 4044, '가시다': 4045, '블랙': 4046, '인걸': 4047, '용두사미': 4048, '옹호': 4049, '유대': 4050, '이러하다': 4051, '부가': 4052, '몫': 4053, '전국': 4054, '이편': 4055, '명대사': 4056, '레고': 4057, '위장': 4058, '복장': 4059, '걸이': 4060, '로더': 4061, '렉': 4062, '폰': 4063, '차지': 4064, '산업': 4065, '팔다': 4066, '반면': 4067, '트렌드': 4068, '소화': 4069, '시련': 4070, '홍경인': 4071, '돌려주다': 4072, '바램': 4073, '특징': 4074, '미장센': 4075, '한바탕': 4076, '절': 4077, '존중': 4078, '밨습니': 4079, '중단': 4080, '매트릭스': 4081, '비명': 4082, '애도': 4083, '콩가루': 4084, '박사': 4085, '온통': 4086, '이상형': 4087, '눈요기': 4088, '안개': 4089, '성인영화': 4090, '수의': 4091, '아따': 4092, '임은경': 4093, '데드': 4094, '해선': 4095, '가문': 4096, '섞다': 4097, '펼치다': 4098, '밤새': 4099, '주행': 4100, '활': 4101, '소린': 4102, '스크림': 4103, '정신차리다': 4104, '오락가락': 4105, '시종': 4106, '리스': 4107, '가르다': 4108, '니스': 4109, '팔이': 4110, '사토시': 4111, '엘리트': 4112, '명복': 4113, '일어나서': 4114, '남경': 4115, '거짓': 4116, '축복': 4117, '의료': 4118, '이종혁': 4119, '퀼리티': 4120, '년뒤': 4121, '긍정': 4122, '에다가': 4123, '블럭버스터': 4124, '히죽': 4125, '전무후무': 4126, '이소연': 4127, '집다': 4128, '퍼지다': 4129, '징': 4130, '차분하다': 4131, '계절': 4132, '건강': 4133, '국민학교': 4134, '빚': 4135, '삼촌': 4136, '격인': 4137, '데니스': 4138, '퀸': 4139, '홀': 4140, '사기꾼': 4141, '망상': 4142, '갑갑하다': 4143, '녹음': 4144, '뮤지컬영화': 4145, '헉': 4146, '슬로우': 4147, '모션': 4148, '학창시절': 4149, '의존': 4150, '조종': 4151, '쉣': 4152, '하찮다': 4153, '겸비': 4154, '값지다': 4155, '도발': 4156, '제제': 4157, '범죄자': 4158, '테이크': 4159, '개방': 4160, '이함': 4161, '산드라': 4162, '브라운': 4163, '에미': 4164, '증명': 4165, '즐감': 4166, '위로': 4167, '지모': 4168, '민주당': 4169, '쏟다': 4170, '라그': 4171, '특출나다': 4172, '니나': 4173, '오디션': 4174, '유감': 4175, '게왜': 4176, '금물': 4177, '책임': 4178, '모성애': 4179, '멀쩡하다': 4180, '진행중': 4181, '과제': 4182, '화중': 4183, '스토': 4184, '인생관': 4185, '쑤시다': 4186, '트라우마': 4187, '식탁': 4188, '정적': 4189, '움직임': 4190, '각성': 4191, '흔들리다': 4192, '걸음': 4193, '맛있다': 4194, '상자': 4195, '바꿔치다': 4196, '잡탕': 4197, '환': 4198, '처키': 4199, '해군': 4200, '유도': 4201, '이중': 4202, '알고싶다': 4203, '소문나다': 4204, '잔치': 4205, '이브': 4206, '앙증맞다': 4207, '이크': 4208, '제압': 4209, '사살': 4210, '어둡다': 4211, '꼴리다': 4212, '털다': 4213, '짜장면': 4214, '공룡': 4215, '넨': 4216, '빼앗다': 4217, '오해': 4218, '우스': 4219, '협박': 4220, '타임슬립': 4221, 'ㅎㅎㅎㅎ': 4222, '불법체류자': 4223, '병원': 4224, '설마설마': 4225, '바이러스': 4226, '습격': 4227, '에서부터': 4228, '이라기': 4229, '컬': 4230, '미흡하다': 4231, '환타': 4232, '자비': 4233, '날로': 4234, '실컷': 4235, '이신': 4236, '졸': 4237, '타고나다': 4238, '할로윈': 4239, '억배': 4240, '절묘하다': 4241, '농구': 4242, '잠자다': 4243, '오만': 4244, '랩': 4245, '첩혈쌍웅': 4246, '주가': 4247, '저만': 4248, '으루': 4249, '활짝': 4250, '비번': 4251, '환불': 4252, '생동감': 4253, '박물관': 4254, '딱지': 4255, '틀어놓다': 4256, '가라': 4257, '어후': 4258, '죽여주다': 4259, '아따맘마': 4260, '뿜었다': 4261, '미루다': 4262, '왓츠': 4263, '이모': 4264, '방가': 4265, '바가지': 4266, '사신': 4267, '죽도': 4268, '성함': 4269, '품다': 4270, '판사': 4271, '합의': 4272, '처벌': 4273, '동기': 4274, '번만': 4275, '스탠': 4276, '오멘': 4277, '이하나': 4278, '정겨운': 4279, '우수': 4280, '화하다': 4281, '교과서': 4282, '옹박': 4283, '신파': 4284, '병구': 4285, '따오다': 4286, '지적': 4287, '레드': 4288, '타인': 4289, '듣기': 4290, '와일드': 4291, '재앙': 4292, '가능성': 4293, '헌': 4294, '정신건강': 4295, '어도': 4296, '다케시': 4297, '어물': 4298, '구토': 4299, '공기': 4300, '전해지다': 4301, '어서': 4302, '줄리엣': 4303, '세영': 4304, 'ㅇㅅㅇ': 4305, '본답': 4306, '앵': 4307, '서민': 4308, '으악': 4309, '아역배우': 4310, '작년': 4311, '가나다': 4312, '라마': 4313, '바사': 4314, '앙': 4315, '왜캐': 4316, '외치': 4317, '스탈린그라드': 4318, '병사': 4319, '며칠': 4320, '이지나': 4321, '허무': 4322, '된장': 4323, '성형': 4324, '미로': 4325, '악몽': 4326, '덕후': 4327, '오래간만': 4328, '뽕짝': 4329, '만약': 4330, '부류': 4331, '떄문': 4332, '무도': 4333, '싸이': 4334, '꺼내다': 4335, '저렇다': 4336, '도그빌': 4337, '임성한': 4338, '지식인': 4339, '숨쉬다': 4340, '유작': 4341, '루크': 4342, '매혹': 4343, '맘껏': 4344, '썻': 4345, '일본도': 4346, '아만다': 4347, '바티스타': 4348, '전격': 4349, '적극': 4350, '레이싱': 4351, '카이': 4352, '시네마': 4353, '재밋습': 4354, '역사상': 4355, '독보': 4356, '개척': 4357, '뿌리': 4358, '반영': 4359, '빗대다': 4360, '고질': 4361, '분노하다': 4362, '야곱': 4363, '제보': 4364, '엘리자베스': 4365, '쿵': 4366, '데이즈': 4367, '배드': 4368, '패자부활전': 4369, '리얼리티': 4370, '민족': 4371, '하이킥': 4372, '지현우': 4373, '황비홍': 4374, '부영': 4375, '장화': 4376, '석': 4377, '지식': 4378, '고요하다': 4379, '서글프다': 4380, '사색': 4381, '정철': 4382, '애잔하다': 4383, '자질': 4384, '의심스럽다': 4385, '호화롭다': 4386, '통한': 4387, '끓다': 4388, '숲': 4389, '매달리다': 4390, '너리': 4391, '곽지민': 4392, '똥폼': 4393, '전두환': 4394, '고통': 4395, '미이라': 4396, '자아': 4397, '성향': 4398, '고스': 4399, '짱개': 4400, '통쾌': 4401, '하우스': 4402, '이유리': 4403, '만주': 4404, '폭탄': 4405, '스필버그': 4406, '탐정': 4407, '상담': 4408, '가히': 4409, '덤': 4410, '저건': 4411, '저지르다': 4412, '단편': 4413, '구조': 4414, '질문': 4415, '땅크': 4416, '부릉부릉': 4417, '깜찍하다': 4418, '로부터': 4419, '수녀': 4420, '장용': 4421, '주진모': 4422, '스펙': 4423, '굿바이': 4424, '년후': 4425, '간단하다': 4426, '은희': 4427, '방만': 4428, '일베': 4429, '주니어': 4430, '운명': 4431, '해독': 4432, '일어나고': 4433, '낚시꾼': 4434, '별다르다': 4435, '계시': 4436, '상반': 4437, '허황': 4438, '식인': 4439, '얽히다': 4440, '지켜보다': 4441, '그땐': 4442, '주걸륜': 4443, '철권': 4444, '만은': 4445, '이성재': 4446, '안젤리나': 4447, '이물': 4448, '살때': 4449, '장진': 4450, '에의': 4451, '내지': 4452, '끝내': 4453, '멘탈': 4454, '통찰': 4455, '부족함': 4456, '팔리다': 4457, '기원': 4458, '현지': 4459, '미달': 4460, '개떡': 4461, '비유': 4462, '연예계': 4463, '리리': 4464, '프렌즈': 4465, '어쩐지': 4466, '스토킹': 4467, '이프': 4468, '다음주': 4469, '엑스': 4470, '방이': 4471, '이집트': 4472, '갇히다': 4473, '교사': 4474, '부도': 4475, '치졸하다': 4476, '운지': 4477, '놔두다': 4478, '듬뿍': 4479, '이어진': 4480, '밀리다': 4481, '유행어': 4482, '상급': 4483, '라스베가스': 4484, '모름': 4485, '수다': 4486, '서양': 4487, '불문': 4488, '요원': 4489, '스티브': 4490, '이중성': 4491, '스태프': 4492, '우웩': 4493, '진과': 4494, '매료': 4495, '지니': 4496, 'ㅈㄴ': 4497, '티브이': 4498, '신도': 4499, '패션': 4500, '뭣': 4501, '파트너': 4502, '러시아어': 4503, '누리': 4504, '권리': 4505, '컴플렉스': 4506, '만화가': 4507, '리그': 4508, '단독': 4509, '김민희': 4510, '류승룡': 4511, '남편': 4512, '햐': 4513, '트릴로지': 4514, '들것': 4515, '난이': 4516, '진자': 4517, '디비디': 4518, '모녀': 4519, '살해': 4520, '뱃김': 4521, '펀치': 4522, '플': 4523, '증말': 4524, '착오': 4525, '아마도': 4526, '재치': 4527, '어의': 4528, '로맨스영화': 4529, '이야말로': 4530, '다녀오다': 4531, '범작': 4532, '후루룩': 4533, '유오성': 4534, '톰크루즈': 4535, '젛': 4536, '어우': 4537, '웟음': 4538, '하여금': 4539, '근접하다': 4540, '빙의': 4541, '노땅': 4542, '크리스토퍼': 4543, '썩': 4544, '레슬링': 4545, '좌파': 4546, '쫓아가다': 4547, 'ㄹ': 4548, '멈추다': 4549, '도배': 4550, '드네': 4551, '자격': 4552, '성장하다': 4553, '열차': 4554, '평정': 4555, '의젖': 4556, '멍청': 4557, '토요일': 4558, '황정민': 4559, '김소현': 4560, '그라드': 4561, '귀요미': 4562, '키스신': 4563, '사춘기': 4564, '감추다': 4565, '칼라': 4566, '낚였다': 4567, '돌싱': 4568, '향기': 4569, '정지훈': 4570, '지존파': 4571, '정당화': 4572, '자이언트': 4573, '어떻든': 4574, '왓': 4575, '인간미': 4576, '제공': 4577, '친절하다': 4578, '이득': 4579, '찌르다': 4580, '임수정': 4581, '거창하다': 4582, '아무튼': 4583, '특집': 4584, '얼다': 4585, '가치관': 4586, '귀여니': 4587, '미미': 4588, '공존': 4589, '예뻣다': 4590, '인공': 4591, '구역질': 4592, '스님': 4593, '만큼의': 4594, '것임': 4595, '로이': 4596, '장끌': 4597, '복귀': 4598, '참가자': 4599, '파악': 4600, '즘': 4601, '소문': 4602, '미성년': 4603, '바치': 4604, '데인': 4605, '게리': 4606, '존론': 4607, '재키': 4608, '포근하다': 4609, '경의': 4610, '벌다': 4611, '정녕': 4612, '세대': 4613, '도현': 4614, '윤찬': 4615, '어수선하다': 4616, '홈': 4617, '나누다': 4618, '논리': 4619, '잊어버리다': 4620, '김범': 4621, '냉혹하다': 4622, '상치': 4623, '장동민': 4624, '라운드': 4625, '소라': 4626, '아오이': 4627, '우승자': 4628, '페이스': 4629, '간절하다': 4630, '다시금': 4631, '김해': 4632, '묵': 4633, '오페라': 4634, '주제곡': 4635, '근육': 4636, '니당다': 4637, '갈래': 4638, '돌아다니다': 4639, '미스터': 4640, '드림웍스': 4641, '주석': 4642, '도끼': 4643, '사정봉': 4644, '사정': 4645, '거임': 4646, '가안': 4647, '영화상': 4648, '고개': 4649, '꼽히다': 4650, '고현정': 4651, '수년': 4652, '찰나': 4653, '앵글': 4654, '극한': 4655, '달고나': 4656, '김보성': 4657, '구리다': 4658, '하차': 4659, '비수': 4660, '헬기': 4661, '마구': 4662, '미군': 4663, '업햄': 4664, '인터뷰': 4665, '고발': 4666, '명언': 4667, '무고': 4668, '손예진': 4669, '에이미': 4670, '숀펜': 4671, '놀랏다': 4672, 'ㅓ': 4673, '모티브': 4674, '오래오래': 4675, '안녕하다': 4676, '대학생': 4677, '효민': 4678, '스피드': 4679, '권하다': 4680, '고백': 4681, '임지연': 4682, '유이': 4683, '비주': 4684, '달려가다': 4685, '곁': 4686, '외롭다': 4687, '무려': 4688, '수용': 4689, '빙': 4690, '불과하다': 4691, '오류': 4692, '주된': 4693, '사할린': 4694, '상당수': 4695, '노역': 4696, '우기': 4697, '케이트': 4698, '넉': 4699, '일대기': 4700, '스포일러': 4701, '떼': 4702, '긋다': 4703, '남아돌다': 4704, '죽지': 4705, '천공': 4706, '의성': 4707, '훑다': 4708, '헐크': 4709, '익숙하다': 4710, '후속': 4711, '기해': 4712, '메이퀸': 4713, '건담': 4714, '시드': 4715, '트리스탄': 4716, '터키': 4717, '스킵': 4718, '기타': 4719, '아일랜드': 4720, '실속': 4721, '단면': 4722, '가오': 4723, '지인': 4724, '저급하다': 4725, '썰렁하다': 4726, '번봄': 4727, '었': 4728, '도덕': 4729, '고조': 4730, '뿜': 4731, '불가능': 4732, '꺅': 4733, '인색하다': 4734, '스트레이트': 4735, '검다': 4736, '나무': 4737, '치기': 4738, '쳐다보다': 4739, '소원': 4740, '유태인': 4741, '서커스': 4742, '베토벤': 4743, '폐륜': 4744, '겉도': 4745, '단단하다': 4746, '솜': 4747, '가두다': 4748, '띠띠': 4749, '흘러나오다': 4750, '맨인블랙': 4751, '난무': 4752, '문득': 4753, '트로트': 4754, '진퉁': 4755, '감수성': 4756, '고만': 4757, '손자': 4758, '쫙': 4759, '무성영화': 4760, '방해': 4761, '진영': 4762, '알리다': 4763, '아시': 4764, '핀': 4765, '남친': 4766, '힙합': 4767, '가구': 4768, '몬스터왕국': 4769, '김준호': 4770, '인칭': 4771, '약점': 4772, '펙': 4773, '가드': 4774, '다나': 4775, '관해': 4776, '짱짱하다': 4777, '답답': 4778, '숙면': 4779, '취하': 4780, '다다': 4781, '내기': 4782, '대치': 4783, '무한도전': 4784, '그럴듯하다': 4785, '낌': 4786, '엿보다': 4787, '절도': 4788, '빵빵': 4789, '엉덩이': 4790, '찢다': 4791, '데넘': 4792, '연민': 4793, '안녕': 4794, '용인': 4795, '라푼젤': 4796, '심은하': 4797, '닼': 4798, '내생': 4799, '떤다': 4800, '해안': 4801, '된거': 4802, '엉터리': 4803, '무심코': 4804, '퓨': 4805, '다이아나': 4806, '에일리언': 4807, '자랑스럽다': 4808, '지니다': 4809, '싱겁다': 4810, '재희': 4811, '복제인간': 4812, '따분함': 4813, '재밋습니': 4814, '대역': 4815, '기부': 4816, '자하': 4817, '스무': 4818, '턴': 4819, '에게로': 4820, '인턴': 4821, '랜턴': 4822, '보디가드': 4823, '슬랩': 4824, '맵다': 4825, '사나': 4826, '묵직하다': 4827, '창작': 4828, '어중간하다': 4829, '합리화': 4830, '루': 4831, '애란': 4832, '채다': 4833, '타령': 4834, '파이팅': 4835, '믄': 4836, '뭉클': 4837, '내심': 4838, '나열하다': 4839, '부담': 4840, '대도': 4841, '만화영화': 4842, '멜깁슨': 4843, '페이': 4844, '인사': 4845, '찬란': 4846, '장하나': 4847, '어처구니없다': 4848, '대들다': 4849, '슬래셔': 4850, '마음껏': 4851, '강물': 4852, '진국': 4853, '브레이크': 4854, '꼽으': 4855, '마리나': 4856, '마린': 4857, '귀염': 4858, '자도': 4859, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 4860, '간지나다': 4861, '신부': 4862, '기황후': 4863, '소이현': 4864, '상쾌하다': 4865, '반지': 4866, '경찰서': 4867, '빠삐용': 4868, '분도': 4869, '지영': 4870, '주지훈': 4871, '토리': 4872, '쌤': 4873, '관리': 4874, '이스트': 4875, '방향성': 4876, '비상구': 4877, '저녁': 4878, '티켓': 4879, '로망': 4880, '작전': 4881, '코스프레': 4882, '할배': 4883, '어줍다': 4884, '짱짱': 4885, '취지': 4886, '어케': 4887, '갓': 4888, '매칭': 4889, '안대': 4890, '결혼식': 4891, '요괴': 4892, '뒤죽박죽': 4893, '질리다': 4894, '또다른': 4895, '칭찬': 4896, '펼쳐지다': 4897, '세우다': 4898, '얄팍하다': 4899, '다주': 4900, '닥치고': 4901, '하지원': 4902, '거듭': 4903, '에가': 4904, '휘': 4905, '포켓몬스터': 4906, '염병': 4907, '관계자': 4908, '러시': 4909, '곤란하다': 4910, '은커녕': 4911, '질색': 4912, '거가': 4913, '무적자': 4914, '짜임': 4915, '후유증': 4916, '마케마케': 4917, '음모론': 4918, '아영': 4919, '볼껄': 4920, '찔끔': 4921, '아날로그': 4922, '쫌더': 4923, '러브레터': 4924, '벨루치': 4925, '문채원': 4926, '배출': 4927, '뚜렷하다': 4928, '드라큘라': 4929, '나영': 4930, '머싯': 4931, '북받치다': 4932, '막강': 4933, '고어영화': 4934, '강철중': 4935, '영화니': 4936, '탑기어': 4937, '강예빈': 4938, '따름': 4939, '다기': 4940, '철저하다': 4941, '그로': 4942, '꾸역꾸역': 4943, '샤론스톤': 4944, '만듭시': 4945, '상콤': 4946, '스머프': 4947, '봣으': 4948, '갈리다': 4949, '계획': 4950, '중앙': 4951, '패착': 4952, '생겨나다': 4953, '예민하다': 4954, '흡수': 4955, '유년기': 4956, '바스코': 4957, '강용석': 4958, '영감': 4959, '리모컨': 4960, '나대다': 4961, '도하': 4962, '히로스에': 4963, '다듬다': 4964, '숨소리': 4965, '이재용': 4966, '잔인함': 4967, '두운': 4968, '가버리다': 4969, '쇼킹': 4970, '푸른': 4971, '위험하다': 4972, '기이하다': 4973, '쟁이': 4974, '정사씬': 4975, '올려놓다': 4976, '특': 4977, '유의': 4978, '룸메이트': 4979, '아낌없다': 4980, '유니크': 4981, '기수': 4982, '예지원': 4983, '끼들': 4984, '터널': 4985, '재료': 4986, '피식': 4987, '어떠하다': 4988, '흔적': 4989, '조니': 4990, '괴짜': 4991, '타이틀': 4992, '발랄하다': 4993, '환자': 4994, '마법': 4995, '우린': 4996, '성기': 4997, '체적': 4998, '부실': 4999, '부모님': 5000, '공공': 5001, '고어': 5002, '기광': 5003, '숀': 5004, '분안': 5005, '어기다': 5006, '론데': 5007, '소말리아': 5008, '차태현': 5009, '히로인': 5010, '두리반': 5011, '존엄성': 5012, '숨죽': 5013, '유일': 5014, '활약': 5015, '짜릿하다': 5016, '무분별': 5017, '봉준호': 5018, '년생': 5019, '드라마정': 5020, '무시무시하다': 5021, '유리창': 5022, '어째서': 5023, '쿵푸팬더': 5024, '입력': 5025, '빠져나오다': 5026, '갈수': 5027, '이형': 5028, '탁재훈': 5029, '멜로디': 5030, '내다보다': 5031, '괜츈': 5032, '거만': 5033, '편성': 5034, '광희': 5035, '쫓겨나다': 5036, '매니': 5037, '이완': 5038, '맥그리거': 5039, '조반': 5040, '은지원': 5041, '화만': 5042, '김영호': 5043, '흥분하다': 5044, '수사물': 5045, '퀴즈': 5046, '류덕환': 5047, '언능': 5048, '지아': 5049, '막간': 5050, '시내': 5051, '따스하다': 5052, '모처럼': 5053, '우에노': 5054, '주리': 5055, '피의자': 5056, '드릴': 5057, '한결': 5058, '꼬옥': 5059, '제이': 5060, '아키라': 5061, '의외': 5062, '암울하다': 5063, '쩔어요': 5064, '시끄럽다': 5065, '껀들': 5066, '통제': 5067, '봣네': 5068, '천하다': 5069, '능청': 5070, '시퀀스': 5071, 'ㅗ': 5072, '총각': 5073, '훔치다': 5074, '온갖': 5075, '프레드': 5076, '소리치다': 5077, '줄리아': 5078, '우산': 5079, '그딴': 5080, '랫': 5081, '진작': 5082, '한예슬': 5083, '슬슬': 5084, '부어': 5085, 'ㅎㅡㅎ': 5086, '강아지': 5087, '가져가다': 5088, '명도': 5089, '가상하다': 5090, '중이병': 5091, '넘어지다': 5092, '만인': 5093, '야만': 5094, '빨갛다': 5095, '동아리': 5096, '김하늘': 5097, '기초': 5098, '일케': 5099, '심취': 5100, '산다': 5101, '스며들다': 5102, '힝': 5103, '맘에안듬': 5104, '놨다': 5105, '전의': 5106, '패러독스': 5107, '애가': 5108, '인간극장': 5109, '계단': 5110, '무덤': 5111, '구멍': 5112, '클로이': 5113, '디테일': 5114, '곱다': 5115, '펜싱': 5116, '땡': 5117, '칠이': 5118, '뒈지다': 5119, '감상문': 5120, '끊임없다': 5121, '함정': 5122, '끈': 5123, '웬디': 5124, '는바': 5125, '쥬산': 5126, '대갈': 5127, '공상': 5128, '다프네': 5129, '후자': 5130, '상이': 5131, '샷': 5132, '신라': 5133, '에스트로겐': 5134, '하이퍼': 5135, '크리': 5136, '쓰이다': 5137, '조르다': 5138, '진도': 5139, '뻔햇': 5140, '엑': 5141, '팜므파탈': 5142, '추격': 5143, '화비': 5144, '정비': 5145, '단속': 5146, '투모로우': 5147, '프로젝트': 5148, '거래': 5149, '양자경': 5150, '글구': 5151, '사족': 5152, '졷': 5153, '조화': 5154, '어쩌다': 5155, '모기': 5156, '희망이': 5157, '전하': 5158, 'ㅕ': 5159, '희롱': 5160, '강철': 5161, '저학년': 5162, '크리스마스': 5163, '세명': 5164, '미국영화': 5165, '존예': 5166, '꾸준하다': 5167, '대리': 5168, '여친': 5169, '수호': 5170, '믹스': 5171, '전세계': 5172, '생선': 5173, '눈알': 5174, '폴라': 5175, '안티': 5176, '비평가': 5177, '이자벨': 5178, '모로': 5179, '젊은이': 5180, '에드': 5181, '김유미': 5182, '꽉': 5183, '정글': 5184, '아이유': 5185, '화해': 5186, '기독교인': 5187, 'ㅐ': 5188, '쎄다': 5189, '그중': 5190, '장진영': 5191, '해외': 5192, '뿌리다': 5193, '노동자': 5194, '망각': 5195, '둥이': 5196, '부활': 5197, '잼남': 5198, '몹시': 5199, '서영희': 5200, '주년': 5201, '궁금증': 5202, '부산': 5203, '노리다': 5204, '쏙': 5205, '툭하면': 5206, '불쌍타': 5207, '하편': 5208, '고기': 5209, '자평': 5210, '별명': 5211, '똑똑하다': 5212, '불가능하다': 5213, '연봉': 5214, '키이라': 5215, '윤후': 5216, '르완다': 5217, '난민': 5218, '배두나': 5219, '타이타닉': 5220, '전환': 5221, '멘토': 5222, '보구': 5223, 'ㅁㅇ': 5224, '토비': 5225, '작정': 5226, '정석': 5227, '토토': 5228, '김청기': 5229, '모양': 5230, '힐러': 5231, '프': 5232, '업다': 5233, '거여': 5234, '연속극': 5235, '고딕': 5236, '버튼': 5237, '부동산': 5238, '탈세': 5239, '고난': 5240, '공통점': 5241, '사생활': 5242, '웨슬리': 5243, '다문화': 5244, '비약': 5245, '시바': 5246, '항체': 5247, '동료': 5248, '리부트': 5249, '역류': 5250, '음향': 5251, '레이미': 5252, '남매': 5253, '직장인': 5254, '출연자': 5255, '최다니엘': 5256, '때로는': 5257, '독립영화관': 5258, '불호': 5259, '인정받다': 5260, '점차': 5261, '겔겔': 5262, '크레딧': 5263, '일방': 5264, '초라하다': 5265, '호기': 5266, '가만히': 5267, '철수': 5268, '캐치미': 5269, '유아': 5270, '잠기다': 5271, '첩보물': 5272, '탕': 5273, '보심': 5274, '밋었': 5275, '물폭탄': 5276, '중국사람': 5277, '입원': 5278, '저렴하다': 5279, '뻑': 5280, '장쯔이': 5281, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 5282, '동포': 5283, '글귀': 5284, '필': 5285, '소지섭': 5286, '공식': 5287, '룰': 5288, '절실': 5289, '혐': 5290, '최민수': 5291, '쪽바리': 5292, '씹다': 5293, '귀가': 5294, '총기': 5295, '다치다': 5296, '최대한': 5297, '반점': 5298, '외국인': 5299, '성립': 5300, '농락': 5301, '청리': 5302, '샤론': 5303, '강간': 5304, '순환선': 5305, '인굿': 5306, '컴퍼니': 5307, '순정': 5308, '히트': 5309, '만지다': 5310, '어마': 5311, '컴퓨터그래픽': 5312, '피아니스트': 5313, '브로디': 5314, '송하윤': 5315, '빅피쉬': 5316, '이상기': 5317, '트리': 5318, '최시원': 5319, '루시': 5320, '극영화': 5321, '서방': 5322, '숭배': 5323, '수컷': 5324, '파국': 5325, '짜내다': 5326, '벗겨지다': 5327, '인종': 5328, '이순신': 5329, '여우주연상': 5330, '옥수수': 5331, '밭': 5332, '체스': 5333, '우아': 5334, '아유': 5335, '생소하다': 5336, '십중팔구': 5337, '임용': 5338, '이제껏': 5339, '타레가': 5340, '뭍': 5341, '생전': 5342, '액트오브밸러': 5343, '론서바이버': 5344, '네이비씰': 5345, '스티븐시걸': 5346, '콘서트': 5347, '더니': 5348, '동반': 5349, '더보': 5350, '단번': 5351, '백프로': 5352, '힘없다': 5353, '어김없이': 5354, '우정은': 5355, '소스케': 5356, '윰': 5357, '상회': 5358, '낯': 5359, '추석': 5360, '재연': 5361, '미라': 5362, '스케이트장': 5363, '폐가': 5364, '감고': 5365, '운율': 5366, '공격': 5367, '유순하다': 5368, '여성성': 5369, '일기토': 5370, '지략': 5371, '맞짱': 5372, '오메': 5373, '깃털': 5374, '흑백영화': 5375, '진영화': 5376, '쿡': 5377, '사교': 5378, '셋트': 5379, '허세쩌': 5380, '수식어': 5381, '평가절하': 5382, '레빗': 5383, '중동': 5384, '나볼': 5385, '수나': 5386, '보증': 5387, '이성': 5388, '보셧어': 5389, '타겟': 5390, '따윈': 5391, '안중': 5392, '더군다나': 5393, '눈앞': 5394, '구출': 5395, '커스틴': 5396, '추연': 5397, '기력': 5398, '빅맨': 5399, '공이': 5400, '친일파': 5401, '충성': 5402, '부업': 5403, '모이다': 5404, '울먹이다': 5405, '무미건조': 5406, '쌩뚱맞고': 5407, '휴머니스트': 5408, '역설': 5409, '잇엇으': 5410, '테드': 5411, '야유': 5412, '하나라': 5413, '더러': 5414, '나비효과': 5415, '트루먼쇼': 5416, '엠버': 5417, '허드': 5418, '카펜터': 5419, '필수': 5420, '메간폭스': 5421, '미식축구': 5422, '둘일때': 5423, '샤를': 5424, '아우라': 5425, '개엿': 5426, '생뚱맞': 5427, '트란안훙꺼': 5428, '되드라구': 5429, '아름': 5430, '재계': 5431, '실실': 5432, '아이돌가수': 5433, '마에다': 5434, '아츠코': 5435, '차이나다': 5436, '핀란드': 5437, '할랫': 5438, '고은님': 5439, '아시안': 5440, '굴렁쇠': 5441, '벗기다': 5442, '갑날': 5443, '밖에는': 5444, '껄끄랏': 5445, '박한별': 5446, '샴푸': 5447, '변비': 5448, '버시': 5449, '닫다': 5450, '선희': 5451, '하숙': 5452, '사궈': 5453, '일상다반사': 5454, '다르덴': 5455, '차이밍량': 5456, '그릇': 5457, '재밋는데': 5458, '우습다': 5459, '버켓': 5460, '리스트': 5461, '트루': 5462, '스내치': 5463, '무리다': 5464, '정두홍': 5465, '액숀': 5466, '그늘': 5467, '간수': 5468, '적재적소': 5469, '일본자위대': 5470, '호모': 5471, '빼기': 5472, 'ㅎㅎㅎㅎㅎㅎㅎㅎ': 5473, '상품': 5474, '라이더': 5475, '느작없어': 5476, '슬펏음': 5477, '이맘': 5478, '수술': 5479, '컨저링': 5480, '브루노': 5481, '개독': 5482, '흐느적': 5483, '사인방': 5484, '울프': 5485, '스카': 5486, '삐리뽕': 5487, '애니메이션영화': 5488, '재활용': 5489, '왕가네': 5490, '지우개': 5491, '끝냇': 5492, '꼳': 5493, '짝짝': 5494, '종합': 5495, '볼떄': 5496, '그이': 5497, '황신혜': 5498, '티남': 5499, '무라카미': 5500, '정욕': 5501, '악한': 5502, '원도': 5503, '졸렬하다': 5504, '속물': 5505, '그리스도': 5506, '무릎': 5507, '꿇다': 5508, '야인시대': 5509, '똘볼수': 5510, '한희정': 5511, '가주': 5512, '천연색': 5513, '좌절': 5514, '선덕여왕': 5515, '일편단심': 5516, '최종': 5517, '모시': 5518, '관리자': 5519, '예원': 5520, '건졌넹': 5521, '가울': 5522, '싶넹': 5523, '스페셜': 5524, '윤시윤': 5525, '봣엇': 5526, '음량': 5527, '존쿠삭나온': 5528, '존쿠삭연기': 5529, '이쯤': 5530, '폼': 5531, '씬시티': 5532, '더도': 5533, '김리나': 5534, '유키스': 5535, '세계대전': 5536, '피고': 5537, '지휘': 5538, '고위': 5539, '장교': 5540, '하드코어': 5541, '부각시키다': 5542, '갈라티아': 5543, '이수경': 5544, '효리': 5545, '외도': 5546, '통채': 5547, '건물': 5548, '지하가': 5549, '편찮다': 5550, '낭': 5551, '이상훈': 5552, '트림': 5553, '김영애': 5554, '벡터맨': 5555, '프로도': 5556, '영관': 5557, '리플릿': 5558, '이영': 5559, '짊': 5560, '어진': 5561, '여담': 5562, '프시': 5563, '황금기': 5564, '춘추전국': 5565, '베이비': 5566, '아포칼립토': 5567, '초입': 5568, '찌그러지다': 5569, '완죤반했엇': 5570, '팡': 5571, '지엔': 5572, '평민': 5573, '동원': 5574, '대군': 5575, '제나라': 5576, '드라마틱하다': 5577, '쩌는구': 5578, '배분': 5579, '음정': 5580, '이하늬': 5581, '개솔': 5582, '혼잡하다': 5583, '카톨릭': 5584, '그리스도교': 5585, '유일신': 5586, '하느님': 5587, '애국가': 5588, '퀴어': 5589, '재및음': 5590, '통과': 5591, '질왜': 5592, '달이': 5593, '훅': 5594, '지존': 5595, '황추생': 5596, '오진우': 5597, '메릴': 5598, '스트립': 5599, '시우민': 5600, '얼른': 5601, '것좀': 5602, '이취': 5603, '집합소': 5604, '습관': 5605, '수면제': 5606, '어쩌자': 5607, '깇체': 5608, '병태': 5609, '널린': 5610, '테레비': 5611, '고향': 5612, '주무': 5613, '꽃게': 5614, '존쿠삭': 5615, '언론': 5616, '개입': 5617, '일부분': 5618, '가다가': 5619, '탈선': 5620, '엎어지다': 5621, '해서웨이': 5622, '망첬': 5623, '다재': 5624, '얼버무리다': 5625, 'ㅆ': 5626, '박용우': 5627, '봫': 5628, '맥클레인': 5629, '보실': 5630, '낰였다': 5631, '프리미엄': 5632, '이선균': 5633, '김상중': 5634, '계쇠': 5635, '홍진영': 5636, '애교': 5637, '서예': 5638, '손꼽다': 5639, '패트레이버': 5640, '퍼시픽': 5641, '림': 5642, '벗': 5643, '닭': 5644, '원빈': 5645, '마리오': 5646, '돈벌': 5647, '장소': 5648, '창업': 5649, '아이템': 5650, '험하다': 5651, '스승': 5652, '단념': 5653, '대소': 5654, '사운트': 5655, '트랙': 5656, '텔레비전': 5657, '화재': 5658, '맘속': 5659, '둘째딸': 5660, '지하실': 5661, '고사': 5662, '없슴': 5663, '그러면': 5664, '우즈': 5665, '홧팅': 5666, '미그기': 5667, '발사': 5668, '전투기': 5669, '격추': 5670, '글래스톤베리': 5671, '부패하다': 5672, '로마노프': 5673, '왕조': 5674, '뭣같': 5675, '항거': 5676, '폭도': 5677, '김아중': 5678, '화두': 5679, '식민지': 5680, '건설': 5681, '관광객': 5682, '룬드': 5683, '렌': 5684, '토니쟈': 5685, '인디언': 5686, '소리내다': 5687, '넘사벽': 5688, '년씨짘': 5689, '나올때마닼': 5690, '으헠': 5691, '레버': 5692, '델피': 5693, '측은하다': 5694, '직장': 5695, '미생': 5696, '딴판': 5697, '게속': 5698, '얼렁뚱땅': 5699, '발란스': 5700, '데이라잇': 5701, '프럼': 5702, '어스': 5703, '아이슬란드': 5704, '아일럔드': 5705, '샤워씬': 5706, '동창회': 5707, '노근리': 5708, '선글라스': 5709, '축': 5710, '니뽄류': 5711, '도시괴담': 5712, '쌈질': 5713, '하하호호': 5714, '낚시질': 5715, '플스': 5716, '로멘틱': 5717, '급식': 5718, '미스테리영화': 5719, '저스트': 5720, '위드': 5721, '년임': 5722, '에어컨': 5723, '모해': 5724, '원조교제': 5725, '유민': 5726, '찌이잉': 5727, '제리': 5728, '개보': 5729, '퀜틴영화': 5730, '댐': 5731, '희극배우': 5732, '같잖다': 5733, '무자': 5734, '격자': 5735, '월급': 5736, '와츠': 5737, '강석': 5738, '어렷을때': 5739, '강우석': 5740, '아사': 5741, '버터': 5742, '마시기': 5743, '프랑': 5744, '사강': 5745, '급박하다': 5746, '미술': 5747, '무극': 5748, '망극': 5749, '기념': 5750, '퀭': 5751, '앨고어': 5752, '평수': 5753, '화산고': 5754, '팔자': 5755, '야웅': 5756, '스퀘어': 5757, '닉스': 5758, '합병': 5759, '크리처': 5760, '가원': 5761, '혜결': 5762, '기여': 5763, '닥본할끙': 5764, '미란': 5765, '연대': 5766, '김진수': 5767, '강간범': 5768, '마가렛': 5769, '없엇으': 5770, '더재밋엇을듯': 5771, '나이트': 5772, '랬': 5773, '전당포': 5774, '스무살': 5775, '유로': 5776, '정원': 5777, '유토피아': 5778, '부시': 5779, '이역': 5780, '이수만': 5781, '미천하다': 5782, '빙점': 5783, '이레': 5784, '이상인': 5785, '뮬란': 5786, '전쟁씬': 5787, '맴도': 5788, '단것': 5789, '이이경': 5790, '기타등등': 5791, '시간대': 5792, '처가': 5793, '궁': 5794, '홀딱': 5795, 'ㅈㄷㄹ': 5796, '마이티': 5797, '껀': 5798, '한거자': 5799, '이라곤': 5800, '격거봣': 5801, '왕따': 5802, '화병': 5803, '혼하': 5804, '루터': 5805, '평등하다': 5806, '백제': 5807, '털': 5808, '홍길동전': 5809, '힐줄': 5810, '어머나': 5811, '황폐': 5812, '각심': 5813, '급작': 5814, '의의': 5815, '바로바로': 5816, '씨부리다': 5817, '의정': 5818, '심혈': 5819, '기울이다': 5820, '슈퍼로봇': 5821, '화로': 5822, '빙자': 5823, '노틸러스호': 5824, '공중': 5825, '격침': 5826, '버지니아': 5827, '클레어': 5828, '역사드라마': 5829, '주접': 5830, '이나라': 5831, '촌빨': 5832, '달기지': 5833, '미니어쳐': 5834, '우뢔매': 5835, '한하유': 5836, '얘길': 5837, '로간': 5838, '주로': 5839, '하층': 5840, '복수심': 5841, '빨치산': 5842, '약탈': 5843, '외로이': 5844, '마카로니': 5845, '선두': 5846, '에리오': 5847, '모리': 5848, '최루성': 5849, '디젤': 5850, '열뻐치': 5851, '타입': 5852, '차암': 5853, '그대': 5854, '피해망상': 5855, '틀림없다': 5856, '해리슨': 5857, '글렌': 5858, '클로즈': 5859, '출시': 5860, '디게': 5861, '화산': 5862, '범한': 5863, '나로': 5864, '올킬': 5865, '아랫': 5866, '반신반의': 5867, '가톨릭': 5868, '등급': 5869, '가야로': 5870, 'ㅡㅡㅋ': 5871, '쟁장': 5872, '팔마': 5873, '인스피릿': 5874, '비스트': 5875, '핑도네': 5876, '배필': 5877, '피어스': 5878, '브로스': 5879, '맹탕': 5880, '홀트': 5881, '일류': 5882, '곽부성': 5883, '고소영': 5884, '비트': 5885, '사뭇': 5886, '백발': 5887, '웄던': 5888, '염정': 5889, '변탠': 5890, '이연서': 5891, '뵙다': 5892, '추잡': 5893, '연산군': 5894, '샤시': 5895, '친딸': 5896, '인혜힘들': 5897, '어브': 5898, '어릴떄': 5899, '울고불고': 5900, '정기용': 5901, '차기': 5902, '돌려차기': 5903, '매치': 5904, '컴터': 5905, '마스다': 5906, '버러지': 5907, '년돈': 5908, '고학년': 5909, '덜덜': 5910, '인내력': 5911, '강하늘': 5912, '추락': 5913, '자본주의': 5914, '베이컨': 5915, '지스': 5916, '영화장르': 5917, '천은': 5918, '누규': 5919, '판박이': 5920, '꾀': 5921, '월스트리트': 5922, '평론': 5923, '오정희': 5924, '섹': 5925, '전태일': 5926, '헛되': 5927, 'ㅎㅅㅎ': 5928, '일본드라마': 5929, '한눈': 5930, '이응': 5931, '스타트랙': 5932, '시설': 5933, '불면증': 5934, '재밋쎠': 5935, '집년': 5936, '참낰': 5937, '보세욬': 5938, '윤회사상': 5939, '단순화': 5940, '계절풍': 5941, '고려': 5942, '목도리': 5943, '백화': 5944, '외로': 5945, '내보내다': 5946, '잘빠지다': 5947, '에스': 5948, '피오': 5949, '박진영': 5950, '비밀결혼': 5951, '사기죄': 5952, '고소': 5953, '기반': 5954, '럴슨': 5955, '왜놈': 5956, '뜻대로': 5957, '김영민': 5958, '유능하다': 5959, '커트': 5960, '콕스였군': 5961, '문츠': 5962, '무진': 5963, '스키장': 5964, '빠리': 5965, '모자라': 5966, '살살': 5967, '간지럽다': 5968, '힌': 5969, '전화선': 5970, '고결하다': 5971, '하셧을까': 5972, '림프비즈킷': 5973, '쥑': 5974, '난널': 5975, '펑샤': 5976, '오강': 5977, '헛소리': 5978, '연도': 5979, '국물': 5980, '빈도': 5981, '종결': 5982, '레베카': 5983, '변치': 5984, '생뚱': 5985, '엉뚱': 5986, '갸우뚱': 5987, '랜드': 5988, '재정': 5989, '스탈린': 5990, '각도': 5991, '라든지': 5992, '이라든지': 5993, '잘살다': 5994, 'ㄲㅈ': 5995, '워킹데드': 5996, '훔': 5997, '컨디션': 5998, '이러니까': 5999, '가격': 6000, '흥정': 6001, '럴': 6002, '똥망': 6003, '물소': 6004, '얕다': 6005, '젠도': 6006, '안착': 6007, '배척': 6008, '국': 6009, '셨': 6010, '백만조': 6011, '송해성': 6012, '루비반지': 6013, '도무지': 6014, '진전': 6015, '경민이': 6016, '퍼붓다': 6017, '나이스': 6018, '연출자': 6019, '채용': 6020, '시스템': 6021, '외주': 6022, '잼슴': 6023, 'ㅇㅎ': 6024, '나야': 6025, '먹어주다': 6026, '옼': 6027, '앟': 6028, '드르륵': 6029, '톰크로즈': 6030, '실재': 6031, '뱅뱅': 6032, '허비하다': 6033, '노출하다': 6034, '장벽': 6035, '족족': 6036, '동무': 6037, '실연': 6038, '일본여행': 6039, '분과': 6040, '동일': 6041, '김민지': 6042, '이수혁': 6043, '남고': 6044, '김예림': 6045, '엘': 6046, '연결하다': 6047, '남용': 6048, '태민': 6049, '멤버': 6050, 'ㅈㄹ': 6051, '덴젤와싱턴': 6052, '모레쯔': 6053, '후덕': 6054, '슥': 6055, '뗼': 6056, '보상': 6057, '결실': 6058, '거두다': 6059, '멘트': 6060, '죄송': 6061, '드랍': 6062, '김태균': 6063, '재능': 6064, '분대': 6065, '맥주': 6066, '마시다': 6067, '적기가': 6068, '까비': 6069, '나잇스탠드': 6070, '사고방식': 6071, '밌다': 6072, '좁다': 6073, '의욕': 6074, '리프': 6075, '의젓하다': 6076, '터미널': 6077, '데드풀': 6078, '김용': 6079, '재밍': 6080, '프라': 6081, '병희': 6082, '촤근': 6083, '만만하다': 6084, '게이고': 6085, '수꼴': 6086, '좌빨': 6087, '인민재판': 6088, '김정은': 6089, '제국': 6090, '질의': 6091, '표상': 6092, '냉철하다': 6093, '철심': 6094, '어으어엉': 6095, '떼거지': 6096, '보편': 6097, '파시즘': 6098, '견지되': 6099, '독특': 6100, '마땅하다': 6101, '단역': 6102, '섯다': 6103, '열풍': 6104, '고온': 6105, '고니': 6106, '아귀': 6107, '설전': 6108, '외우다': 6109, '주근': 6110, '두기': 6111, '쌀': 6112, '시한': 6113, '욧': 6114, '윤석': 6115, '무위자연': 6116, '주몽': 6117, '총셋팅': 6118, '군생활': 6119, '크림': 6120, '열중': 6121, '수업': 6122, '안소니': 6123, '앨빈': 6124, '이러케': 6125, '파일량': 6126, '인간성': 6127, '앱스토어': 6128, '애플': 6129, '안드로이드': 6130, '시시': 6131, '껄렁하다': 6132, '육신': 6133, '핥다': 6134, '패틴슨': 6135, '무뇌충일': 6136, '파라다이스목장': 6137, '양면': 6138, '정준': 6139, '여현수': 6140, '이원종': 6141, '김사랑': 6142, '건너': 6143, '쪽나': 6144, '정이': 6145, '뛰어다니다': 6146, '커다랗다': 6147, '금욕': 6148, '음탕하다': 6149, '리눅스': 6150, '과유': 6151, '불급': 6152, '어울림': 6153, '살맛': 6154, '안듬': 6155, '서울': 6156, '쎼뇨리따': 6157, '무소유': 6158, '가트': 6159, '바콜': 6160, '멘스': 6161, '감미': 6162, '포레스트검프': 6163, 'ㅠㅜㅠ': 6164, '한국어': 6165, '민망': 6166, '정시': 6167, '폐허': 6168, '핵전쟁': 6169, '삿다': 6170, '최진혁': 6171, '꺄악': 6172, '삼장': 6173, '앙탈': 6174, '재밋는뎅': 6175, '점임': 6176, '맞먹다': 6177, '헤니': 6178, '억압': 6179, '소시민': 6180, '과감': 6181, '신춘': 6182, '과욕': 6183, '리도': 6184, '강지환': 6185, '쟁쟁': 6186, '격투': 6187, '경전': 6188, '어간': 6189, '넘흐': 6190, '아수라': 6191, '헨젤': 6192, '그레텔': 6193, '캠프': 6194, '오기': 6195, '웨이': 6196, '지밀': 6197, '명량해전': 6198, '마파도': 6199, '뼈대': 6200, '박정아': 6201, '취학': 6202, '안경': 6203, '영화음악': 6204, '번뜩이다': 6205, '괜챦음': 6206, '작곡': 6207, '파스': 6208, '쌕시': 6209, '시샘': 6210, '근친상간': 6211, '메': 6212, '드래곤': 6213, '토르': 6214, '잡수다': 6215, '선방': 6216, '산삼': 6217, '무림': 6218, '씻다': 6219, '대회': 6220, '가차': 6221, '와인': 6222, '부르짖다': 6223, '문법': 6224, '잘끝냇구': 6225, '터끝': 6226, '멍하니': 6227, '무표정': 6228, '쟤': 6229, '저력': 6230, '금융': 6231, '삼가다': 6232, '고인': 6233, '볼라': 6234, '화신': 6235, '미련': 6236, '모라': 6237, '날조': 6238, 'ㅋㅋㅋㄱ': 6239, '선교': 6240, '민영화': 6241, '데빌': 6242, '대강': 6243, '막만드': 6244, '구지': 6245, '친분': 6246, '특별출연': 6247, '천하': 6248, '양녕대군': 6249, '김재철': 6250, '전사': 6251, '발치': 6252, '색소폰': 6253, '청아': 6254, '곽재용': 6255, '강변': 6256, '발판': 6257, '갠차다': 6258, '재밋는듯': 6259, '별루더': 6260, '김순옥': 6261, '배수빈': 6262, '한상진': 6263, '김태현': 6264, '농간': 6265, '엄연하다': 6266, '재력': 6267, '오만해': 6268, '앞바다': 6269, '오염시키다': 6270, '생계': 6271, '상대로': 6272, '새마을운동': 6273, '노욕': 6274, '똥례': 6275, '레슬리': 6276, '닐슨': 6277, '찰리': 6278, '쉰': 6279, '멜라': 6280, '앤더슨': 6281, '라티': 6282, '파가': 6283, '레지나': 6284, '줄어들다': 6285, '훨배낫다': 6286, '상업성': 6287, '자세': 6288, '작업': 6289, 'ㅠㅠㅠㅠㅠㅠㅠㅠㅠㅠㅠ': 6290, '맘마미아': 6291, '시월애': 6292, '드라이빙': 6293, '롤': 6294, '몽롱': 6295, '넋': 6296, '먹거리': 6297, '허슬': 6298, '음울하다': 6299, '조여': 6300, '밤임': 6301, '라라피포': 6302, '부러': 6303, '오묘하다': 6304, '카타르': 6305, '시스': 6306, '버겁다': 6307, '카페': 6308, '발싸개': 6309, '빼어나다': 6310, '목표': 6311, '수도승': 6312, '떠내려가다': 6313, '폭스라이프': 6314, '실버': 6315, '이뿌다': 6316, '똥파리': 6317, '물어': 6318, '신랄하다': 6319, '윤여정': 6320, '진술': 6321, '금액': 6322, '유명배우': 6323, '정이안': 6324, '물체': 6325, '빠르기': 6326, '까먹다': 6327, '주앙': 6328, '큐브릭': 6329, '수목장': 6330, '지장': 6331, '우승': 6332, '송민호': 6333, '송윤아': 6334, '불운': 6335, '기득권': 6336, '백야': 6337, '샤말란': 6338, '박아': 6339, '정신분열증': 6340, '류승': 6341, '해주': 6342, '것땜': 6343, '담날': 6344, '윤한': 6345, '소연': 6346, '수역': 6347, '대관': 6348, '이경실': 6349, '안거': 6350, '범죄예방': 6351, '그릇되다': 6352, '결제': 6353, '판타지영화': 6354, '가벼워지다': 6355, '번지르르하다': 6356, '사라예보': 6357, '반대편': 6358, '심층': 6359, '시각장애인': 6360, 'ㄵ': 6361, '이준': 6362, '음청': 6363, '쓸엑': 6364, '바라지': 6365, '기상': 6366, '외한': 6367, '묶다': 6368, '알란': 6369, '옥죄': 6370, '강정원': 6371, '정연': 6372, '자리다': 6373, '인용': 6374, '비율': 6375, '익숙': 6376, '안정감': 6377, '풍취': 6378, '폴란드': 6379, '투영': 6380, '밑에님보': 6381, '뿜음': 6382, 'ㄱㄱ': 6383, '리더십': 6384, '천박': 6385, '게맛살': 6386, '덩달아': 6387, '점때': 6388, '케이크': 6389, '짝패': 6390, '샐러리맨': 6391, '초한지': 6392, '찌개': 6393, '벌리다': 6394, '영계': 6395, '노땅녀': 6396, '베베': 6397, '정기': 6398, '볼날': 6399, '셋별': 6400, '으잌': 6401, '사관학교': 6402, '부서': 6403, '책임자': 6404, '법인': 6405, '국방부': 6406, '소속': 6407, '기관': 6408, '책임지다': 6409, '척머슬러': 6410, '증언': 6411, '머임': 6412, '꼭두각시': 6413, '자고로': 6414, '땅속': 6415, '뭍혀': 6416, '부자간': 6417, '원망': 6418, '김현정': 6419, '겜블러': 6420, '게이물': 6421, '하반신': 6422, '아빠어디가': 6423, '보물': 6424, '형역': 6425, '올드보이': 6426, '성장기': 6427, '탈탈': 6428, '배알': 6429, '육식': 6430, '빌딩': 6431, '딧노': 6432, '부임': 6433, '여분': 6434, '가상현실': 6435, '딕': 6436, '해악': 6437, '대우': 6438, '여장': 6439, '화장': 6440, '여론': 6441, '상관관계': 6442, '숀팬': 6443, '강수연': 6444, '최정원': 6445, '신음': 6446, '넢어': 6447, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 6448, '그림판': 6449, '손손': 6450, '심리상담': 6451, '우상화': 6452, '망국': 6453, '멍청이': 6454, '배배꼬았다': 6455, '김명민': 6456, '연쇄살인범': 6457, '폐쇄된': 6458, '거죽': 6459, '입히다': 6460, '꼽는': 6461, '유해진': 6462, '구수하다': 6463, '맛깔나다': 6464, '이장님': 6465, '쩍': 6466, '눈살': 6467, '찌푸리다': 6468, '앓이': 6469, '유아인': 6470, '소윤': 6471, '바랬던': 6472, '단언컨대': 6473, '외치다': 6474, '원조': 6475, '우리동네': 6476, '언떤놈': 6477, '빡센': 6478, 'ㅋㄱ': 6479, '쌓이다': 6480, '정점': 6481, '빈스': 6482, '김수미': 6483, '계곡': 6484, '아무래도': 6485, '선하다': 6486, '이천원': 6487, '재밋는': 6488, '태희': 6489, '차승민': 6490, '숲속': 6491, '눈의여왕': 6492, '쓰뤠긔': 6493, '쌩뚱맞': 6494, '관좀': 6495, '복고': 6496, '건아': 6497, '쩌비': 6498, '낄낄대다': 6499, '풋함': 6500, '돈크라이마미': 6501, '스파르타': 6502, '필수요소': 6503, '선셋': 6504, '삼거리': 6505, '코스트': 6506, '나리': 6507, '찌릿': 6508, '짜릿': 6509, '쿠바': 6510, '토로': 6511, '박선영': 6512, '남장': 6513, '수트': 6514, '미남': 6515, '권유': 6516, '창조': 6517, '중복': 6518, 'ㅋㄲㅈㅁ': 6519, '드립': 6520, '낮': 6521, '수바': 6522, '문자': 6523, '썰전': 6524, '인맥': 6525, '레벨': 6526, '위인': 6527, '상영작': 6528, '현혹': 6529, '고객': 6530, '낚시': 6531, '콤': 6532, '엄기준': 6533, '매너': 6534, '블': 6535, '대적': 6536, '조달환': 6537, '이지혜': 6538, '인강': 6539, '요하': 6540, '유독': 6541, '장강': 6542, '육상': 6543, '첫걸음': 6544, '유학생': 6545, '교포': 6546, '스위프트': 6547, '쪙': 6548, '떡실신': 6549, '되돌아보다': 6550, '니미': 6551, '링컨': 6552, '바이올린': 6553, '쌍둥이': 6554, '줄라': 6555, '심판': 6556, '결선': 6557, '고시': 6558, '촌극': 6559, '야박하다': 6560, '이위': 6561, '공군': 6562, '군수': 6563, '멸망하다': 6564, '말껄': 6565, '국비': 6566, '종범': 6567, '이상자': 6568, '강심장': 6569, '뽱': 6570, '말빨': 6571, '한재석': 6572, '최정희': 6573, '태문': 6574, 'ㅣㅆ': 6575, '느덕': 6576, '조만간': 6577, '초록': 6578, '남자배우': 6579, '젤로': 6580, '배짱': 6581, '인구': 6582, '이기만': 6583, '중박': 6584, '프라챠': 6585, '핀카엡': 6586, '빈자리': 6587, '패닉': 6588, '경극': 6589, '컨': 6590, '주사': 6591, '락': 6592, '맨몸': 6593, '순전하다': 6594, '정조': 6595, '흠뻑': 6596, '부인': 6597, '가엾다': 6598, '로보트': 6599, '비원에이포': 6600, '멋진날': 6601, '섬': 6602, '까지의': 6603, '질병': 6604, '다이빙벨': 6605, '침몰': 6606, '매회': 6607, '수혁': 6608, '장철': 6609, '하규': 6610, '매니저': 6611, '카드': 6612, '잏': 6613, '무산': 6614, '오리진': 6615, '어쨋': 6616, '도기': 6617, '박제': 6618, '풍속': 6619, '학적': 6620, '가치나': 6621, '자의식': 6622, '꿈틀': 6623, '서투르다': 6624, '게으르다': 6625, '똥통': 6626, '해프닝': 6627, '헌재': 6628, '판결': 6629, '교복': 6630, '적대': 6631, '걸륜': 6632, '걸륜팬': 6633, '야마카시': 6634, '야수': 6635, '명곡': 6636, '줸좡': 6637, '채드': 6638, '머레이': 6639, '찾아다니다': 6640, '날카롭다': 6641, '형이상학적': 6642, '지각': 6643, '이뻣다': 6644, '진구': 6645, '됫음': 6646, '살기': 6647, '배구': 6648, '뻘짓': 6649, '멘붕': 6650, '페러다임': 6651, '헤집다': 6652, '이입': 6653, '일해': 6654, '중고생': 6655, '추어': 6656, '팽팽': 6657, '조율': 6658, '브이': 6659, '헤더': 6660, '이엄': 6661, '북경어': 6662, '이종수': 6663, '잛': 6664, '엊그제': 6665, '사계절': 6666, '파란색': 6667, '이세창': 6668, '공연장': 6669, '탕웨이': 6670, '옥보단': 6671, '데스노트': 6672, '테이큰': 6673, '마법천자문': 6674, '쩌구': 6675, '저쩌구': 6676, '김슬기': 6677, '아악': 6678, '맨앤': 6679, '퍼뜩': 6680, '최전선': 6681, '데려가다': 6682, '독일어': 6683, '백봉기': 6684, '레젼드': 6685, '미인': 6686, '골빈': 6687, '사라졋으': 6688, '발라': 6689, '처참하다': 6690, '잠기': 6691, '조이스틱': 6692, '장악': 6693, '지그': 6694, '빅매치': 6695, '컴텨': 6696, '비쥬': 6697, '흐리다': 6698, '레몬이': 6699, '진장': 6700, '소울메이트': 6701, '사운드트랙': 6702, '로섬': 6703, '헤드윅': 6704, '극우': 6705, '축하': 6706, '질적': 6707, '정준호': 6708, '종잡': 6709, '비밥': 6710, '쏫': 6711, '아지': 6712, '임꺽정': 6713, '극악': 6714, '외계': 6715, '코같다': 6716, '핫': 6717, '우엉': 6718, '건축학개론': 6719, '제겐': 6720, '이영애': 6721, '노찌': 6722, '쯔': 6723, '오만하다': 6724, '수뤠기': 6725, '알반': 6726, '환희': 6727, '물어보다': 6728, '프리즌브레이크': 6729, '갈구다': 6730, '깨어나다': 6731, '제자리': 6732, '미키': 6733, '셰릴': 6734, '린펜': 6735, '조안': 6736, '버런': 6737, '부리다': 6738, '지명도': 6739, '몰락하다': 6740, '닌자': 6741, '어쌔씬': 6742, '아라': 6743, '고래': 6744, '호들갑': 6745, '환복': 6746, '안전모': 6747, '전철': 6748, '멉': 6749, '일편': 6750, '쪼': 6751, '그랜트': 6752, '한자리': 6753, '삼박자': 6754, '절묘': 6755, '말장난': 6756, '르르': 6757, '모건': 6758, '뼈': 6759, '독': 6760, '고문': 6761, '자라다': 6762, '무리하다': 6763, '방학기': 6764, '동명': 6765, '읅': 6766, '포에버': 6767, '졸도': 6768, '로얄': 6769, '댄스': 6770, '들썩들썩': 6771, '구도': 6772, '사바세계': 6773, '중생': 6774, '받아들이다': 6775, '블랙리스트': 6776, '이어트': 6777, '어프': 6778, '할리데이': 6779, '광활하다': 6780, '로프': 6781, '인디펜던스': 6782, '전말': 6783, '이듭': 6784, '한공주': 6785, '바이오맨': 6786, '신상옥': 6787, '유학': 6788, '공채': 6789, '텔런튼데': 6790, '이구만': 6791, '학예회': 6792, '회사원': 6793, '부라': 6794, '워드': 6795, '응어리': 6796, '안속': 6797, '싱그럽다': 6798, '브라운관': 6799, '악하다': 6800, '무책임': 6801, '서인영': 6802, '김옥빈': 6803, '벙': 6804, '렌느': 6805, '회수': 6806, '로드리게즈': 6807, '용일': 6808, '암만': 6809, '사하나': 6810, '원더풀': 6811, '욕정': 6812, '불타다': 6813, '학위': 6814, '위조': 6815, '성범죄자': 6816, '제자': 6817, '허진호': 6818, '밨는데': 6819, '전설의고향': 6820, '의천도룡기': 6821, '난도': 6822, '댄싱': 6823, '안방': 6824, '만날': 6825, '맙소사': 6826, '모욕': 6827, '효시': 6828, '임정은': 6829, '빵꾸똥꾸': 6830, '앞세우다': 6831, '왕정': 6832, '무능하다': 6833, '하여튼': 6834, '은석': 6835, '치밀다': 6836, '선속': 6837, '머물다': 6838, '셀카': 6839, '거참': 6840, '친자': 6841, '겜블': 6842, '형사물': 6843, '펜': 6844, '영수': 6845, '병장': 6846, '해감': 6847, '밤벌레': 6848, '하룻밤': 6849, '신고식': 6850, '승연이': 6851, '사냥꾼': 6852, '스팅': 6853, '홧병': 6854, '당기다': 6855, '굿닥터': 6856, '갈아타다': 6857, '난간': 6858, '펙트': 6859, '한순간': 6860, '올랜도': 6861, '블룸': 6862, '다운로드': 6863, '개요': 6864, '것멋': 6865, '개폼': 6866, '선인장': 6867, '이상현': 6868, '몸소': 6869, '부녀': 6870, '조엘': 6871, '슈마허': 6872, '로빈': 6873, '어럈을때': 6874, '마스크': 6875, '련': 6876, '모터사이클': 6877, '제보자': 6878, '주소': 6879, '교육영화': 6880, '미덕': 6881, '유쾌': 6882, 'ㅈㅐ': 6883, '밌었다': 6884, '확확': 6885, '꽂히다': 6886, '역린': 6887, '아트': 6888, '무뇌충': 6889, '무식하다': 6890, '피드백': 6891, '보영': 6892, '걸치다': 6893, '소임': 6894, '오시': 6895, '마모루': 6896, '민정': 6897, '제시카알바': 6898, '윌슨': 6899, '느꼇다': 6900, '귀족': 6901, '사구조': 6902, '미결': 6903, '소오강호': 6904, '해전': 6905, '광신도': 6906, '암세포': 6907, '핫챠': 6908, '수법': 6909, '지롱': 6910, '깔깔': 6911, '볼케이노': 6912, '잼잼': 6913, '엑스맨': 6914, '증': 6915, '영희': 6916, '느님': 6917, 'ㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜㅜ': 6918, '단추': 6919, '에로물': 6920, '심리학자': 6921, '직소': 6922, '절댜': 6923, '가당': 6924, '기절': 6925, 'ㅜㅜㅜㅜ': 6926, '정준하': 6927, '을해': 6928, '마담': 6929, '프루스트': 6930, '견줄만': 6931, '유애': 6932, '엄지': 6933, '사악하다': 6934, '원인': 6935, '월리스': 6936, '그루밋때': 6937, '기기': 6938, '군상': 6939, '히든싱어': 6940, '쏙쏙': 6941, '이태준': 6942, '김민정': 6943, '나열': 6944, '저예산영화': 6945, '다크호스': 6946, '아이콘': 6947, '에이즈': 6948, '운동화': 6949, '프렌드': 6950, '복희': 6951, '쭉빵녀': 6952, '삐용': 6953, '리브스': 6954, '불록': 6955, '대만': 6956, '망측하다': 6957, '채팅': 6958, '퍼센트': 6959, '한없이': 6960, '라이오넬': 6961, '영홥': 6962, '시궁창': 6963, '신들리다': 6964, '충만': 6965, '카스': 6966, '어지럽히다': 6967, '암호': 6968, '모스부호': 6969, '텐션': 6970, '순식간': 6971, '니노': 6972, '이중인격': 6973, '정장': 6974, '땡땡': 6975, '질풍': 6976, '흑암': 6977, '천일': 6978, '유혹': 6979, '가감': 6980, '있엇으리': 6981, '처녀': 6982, '플랜카드': 6983, '환영': 6984, '자시다': 6985, '깨금': 6986, '죠스': 6987, '단계': 6988, '난날': 6989, '즈음': 6990, '녹음기': 6991, '베스트셀러': 6992, '태조': 6993, '왕건': 6994, '분노의질주': 6995, '세븐': 6996, '준애': 6997, '소양': 6998, '솔까말': 6999, '불행중': 7000, '최헌': 7001, '관대하다': 7002, '찰지다': 7003, '아메리칸': 7004, '녀놈': 7005, '뻣': 7006, '틸리': 7007, '깜찍': 7008, '그레이': 7009, '테마': 7010, '몰두': 7011, '리셋': 7012, '설키': 7013, '인간관계': 7014, '헬': 7015, '할머님': 7016, '이준기': 7017, '그다음': 7018, '단발머리': 7019, '점밑': 7020, '숨졸': 7021, 'ㅋㄷㅋㄷ': 7022, '킬킬': 7023, '봤늡데': 7024, '망햇': 7025, '신민아': 7026, '구상': 7027, '노자': 7028, '끼리끼리': 7029, '액': 7030, '이또': 7031, '오월': 7032, '야릇하다': 7033, '라디오헤드': 7034, '삽입곡': 7035, '화룡': 7036, '점정': 7037, '주룩': 7038, '김성균': 7039, '꼬부라지다': 7040, '혓소리': 7041, '김태연': 7042, '할숭': 7043, '괜찬': 7044, '차별성': 7045, '자지러지다': 7046, '알콜': 7047, '종착역': 7048, '대유': 7049, '트레비스': 7050, '밀양': 7051, '깊숙하다': 7052, '뛰어내리다': 7053, '이마트': 7054, '샷따': 7055, '소화기': 7056, '재밓당': 7057, '행여': 7058, '여름방학': 7059, '특선': 7060, '이루어지다': 7061, '면도': 7062, '독살': 7063, '안되겠니': 7064, '황금시간대': 7065, '수신료': 7066, '펜대': 7067, '맹승지': 7068, '돌진': 7069, '별룹니': 7070, '겐': 7071, '아찔하다': 7072, '간분': 7073, '킨': 7074, '중독증': 7075, '미워하다': 7076, '광장': 7077, '소유진': 7078, '스럽지도': 7079, '질소': 7080, '과자': 7081, '스킨헤드': 7082, '좀해': 7083, '그따위': 7084, '봉달': 7085, '화려': 7086, '옌': 7087, '사랑받다': 7088, '허전하다': 7089, '루퍼트': 7090, '편안함': 7091, 'ㅡㅜ': 7092, '애사': 7093, '갈겨쓰다': 7094, '화난': 7095, '루피': 7096, '명과': 7097, '아드레날린': 7098, '과다복용': 7099, '깡통': 7100, '구만': 7101, '에너지': 7102, '포토': 7103, '원어민': 7104, '오그': 7105, '보증수표': 7106, '불변': 7107, '주제넘다': 7108, '감별': 7109, '이태임': 7110, '엘리베이터': 7111, '터틀': 7112, '주크박스': 7113, '직선': 7114, '획기': 7115, '특권': 7116, '행위': 7117, '남지현': 7118, '정향': 7119, '하유미': 7120, '밤바': 7121, '웃찿사': 7122, '서수민': 7123, '자책': 7124, '시달리다': 7125, '갖가지': 7126, '승전': 7127, '결': 7128, '식임': 7129, '피겨': 7130, '월남': 7131, '절말': 7132, '휴대폰': 7133, '빠뜨리다': 7134, 'ㅉㅉㅉㅉ': 7135, '아이리스': 7136, '수치': 7137, '자시': 7138, '접합': 7139, '파이다': 7140, '환대': 7141, '런닝': 7142, '임도': 7143, '센치하다': 7144, '직업여성': 7145, '끝없이': 7146, '정명석': 7147, '군침': 7148, '기립박수': 7149, '여교사': 7150, '개잼': 7151, '부셰미': 7152, '시에나': 7153, '밀러': 7154, '으이': 7155, '걸스데이': 7156, '이혜리': 7157, '자잘하다': 7158, '숏컷': 7159, '관계성': 7160, '냉정': 7161, '배우진': 7162, '굿잡': 7163, '라이브': 7164, '전결': 7165, '후세': 7166, '김유정': 7167, '주임': 7168, '은밀': 7169, '나위': 7170, '음성': 7171, '스토커': 7172, '미져리': 7173, '칭한다': 7174, '자스민': 7175, '슴돠': 7176, '싸하다': 7177, '윈': 7178, '투어': 7179, '악평': 7180, '스피디함': 7181, '돌발': 7182, '황보라': 7183, '잘맞다': 7184, '그만두다': 7185, '리액션': 7186, '불닭': 7187, '무얼': 7188, '켈리': 7189, '쇄골': 7190, '님꺼': 7191, '다예': 7192, '감자별': 7193, '부작용': 7194, '뺒': 7195, '식물': 7196, '정윤희': 7197, '아기자기': 7198, '격파': 7199, '여호와': 7200, '증인': 7201, '본분': 7202, '조성하': 7203, '구체': 7204, '경선': 7205, '티프': 7206, '월터': 7207, '힐': 7208, '비장하다': 7209, '윌리스': 7210, '찰흙': 7211, '게바라': 7212, '예루살렘': 7213, '팔로우': 7214, '뿌리치다': 7215, '표지': 7216, '제이콥': 7217, '팔뚝': 7218, '성스럽다': 7219, '작작': 7220, '독도': 7221, '피리': 7222, '불면': 7223, '까딱까딱': 7224, '적꿈': 7225, '므흣': 7226, '두부': 7227, '빈스본': 7228, '사병': 7229, '호주': 7230, '로보캅': 7231, '자극시키다': 7232, '완주': 7233, '마라톤': 7234, '일석이조': 7235, '토막': 7236, '오마주': 7237, '특수분장': 7238, '울트라맨': 7239, '후짐': 7240, '끝장': 7241, '뒤뚱뒤뚱': 7242, '지은': 7243, '휴잭맨': 7244, '복수혈전': 7245, '까지와': 7246, '난뭐': 7247, '화이자': 7248, '옥소리': 7249, '프로필': 7250, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 7251, '대못': 7252, '내려오다': 7253, '예언': 7254, '새롭웠': 7255, '활보': 7256, '고나은': 7257, '두서': 7258, '오그리다': 7259, '짤랐을꺼': 7260, '독재자': 7261, '괴수영화': 7262, '도랏': 7263, '어언': 7264, '히히히': 7265, '햇살': 7266, '부엌': 7267, '신년': 7268, '베를릴': 7269, '만으로는': 7270, '화백': 7271, '명탐정코난': 7272, '남도일': 7273, '미비하다': 7274, '아젛': 7275, '짬봉': 7276, '난왜릏': 7277, '끝판': 7278, '애쉬': 7279, '요호': 7280, '투캇': 7281, '에르': 7282, '체베트': 7283, '왕족': 7284, '희생양': 7285, '비운': 7286, '이아쉬': 7287, '찿': 7288, '빠담빠담': 7289, '빠져듬': 7290, '생명력': 7291, '뿜어대': 7292, '목도': 7293, '현란하다': 7294, '드라이버': 7295, '갓파더': 7296, '과장하다': 7297, '태고': 7298, '머리털': 7299, '워스트': 7300, '거꾸로': 7301, '폭소': 7302, '신비': 7303, '개대': 7304, '룸바': 7305, '치코': 7306, '나우': 7307, '재생': 7308, '왈츠': 7309, '톱스타': 7310, '양영희': 7311, '할로우': 7312, '뽐내다': 7313, '수배': 7314, '야스쿠니': 7315, '카메런': 7316, '방조명': 7317, '펠레': 7318, '베른': 7319, '라이어': 7320, '스티치': 7321, '튿': 7322, '불만족': 7323, '자위대': 7324, '영화떄문': 7325, '측정': 7326, '여리다': 7327, '인문학': 7328, '분야': 7329, '해체': 7330, '수갑': 7331, '이인기': 7332, '생강빵': 7333, '군요': 7334, '문장': 7335, '송지효': 7336, '개구': 7337, '부정': 7338, '엇음': 7339, '확신': 7340, '수학': 7341, '알러뷰': 7342, '중국드라마': 7343, '준정': 7344, '다물어지다': 7345, '구지성': 7346, '백내장': 7347, '와오라니': 7348, '족장': 7349, '허벅지': 7350, '쓰다듬다': 7351, '트레': 7352, '헌터': 7353, '군국': 7354, '묵념': 7355, '페제': 7356, '저조하다': 7357, '뽀뽀': 7358, '질임': 7359, '담론': 7360, '효율': 7361, '가성': 7362, '반타작': 7363, '입가': 7364, '방사': 7365, '수합': 7366, '수정': 7367, '핑계': 7368, '정부': 7369, '서구': 7370, '하나요': 7371, '외상': 7372, '속임수': 7373, '인런글': 7374, '자서': 7375, '올바르다': 7376, '흐믓하': 7377, '리바이': 7378, '줄곧': 7379, '짤': 7380, '갈비': 7381, '잭맨': 7382, '기독교도': 7383, '아저씬': 7384, '최양일': 7385, '얍얍': 7386, '뚝딱': 7387, '연상연하': 7388, '취조': 7389, '통편집': 7390, '좆망': 7391, '리뉴': 7392, '산이면': 7393, '푸르다': 7394, '과민': 7395, '망우': 7396, '묘소': 7397, '아사카': 7398, '쿠': 7399, '완점잼': 7400, '섹히들': 7401, '뎌': 7402, '슌': 7403, '주귀': 7404, '오케이': 7405, '천진하다': 7406, '밥값': 7407, '룻': 7408, '애뜻함': 7409, '기아': 7410, '금치': 7411, '몸서리': 7412, '다물다': 7413, '지쯔': 7414, '윤종신': 7415, '이하늘': 7416, '뽑히다': 7417, '심사': 7418, '위원': 7419, '쌓다': 7420, '어허': 7421, '무성': 7422, '똥꼬': 7423, '아워스': 7424, '계승': 7425, '순결': 7426, '명문': 7427, '식겁하다': 7428, '소신': 7429, '호비다': 7430, '손가락': 7431, '짤림': 7432, '츤데레': 7433, '스노우': 7434, '깜짝깜짝': 7435, '단발': 7436, '스티플러': 7437, '법적': 7438, '날므': 7439, '시범': 7440, '대희': 7441, '전화': 7442, '끊음': 7443, '전역': 7444, '생활관': 7445, '통일': 7446, '중요시': 7447, '은성': 7448, '명민하다': 7449, '띠': 7450, '띠디띠': 7451, '맥락': 7452, '터프': 7453, '전진': 7454, '당돌하다': 7455, '은별': 7456, '움속': 7457, '나후': 7458, '아스카': 7459, '읽히다': 7460, '저리다': 7461, '공정하다': 7462, '결과물': 7463, '오현민': 7464, '봉만대': 7465, '이해력': 7466, '도시락': 7467, '씩씩하다': 7468, '국회의원': 7469, '오즈의마법사': 7470, '철통': 7471, '젬슴': 7472, '퀼리티쩌': 7473, '입술': 7474, '라시오': 7475, '마이애미': 7476, '서준영': 7477, '쿵쿵': 7478, '자연재해': 7479, '클라스': 7480, '출가': 7481, '은하사': 7482, '피좀': 7483, '가방': 7484, '압꿘': 7485, '뺑소니': 7486, '눈감다': 7487, '점심': 7488, '부러지다': 7489, '이착': 7490, '척움': 7491, '흉하다': 7492, '도개': 7493, '운치': 7494, '이식': 7495, '먹방': 7496, '클로즈업': 7497, '고귀하다': 7498, '뭉': 7499, '묵고': 7500, '댕기': 7501, '슈퍼스타': 7502, '짏': 7503, '윤숙': 7504, '파파야': 7505, '작작하다': 7506, '올리버': 7507, '무뇌': 7508, '족': 7509, '터테': 7510, '이닝': 7511, '반칙왕': 7512, '홍련같': 7513, '김지운': 7514, '가을로': 7515, '쫓기다': 7516, '아오뽁쳐': 7517, '미세': 7518, '스미스': 7519, '됫으': 7520, '스피릿': 7521, '봉테일': 7522, '형무소': 7523, '족구': 7524, '김연아': 7525, '에리': 7526, '소파': 7527, '뚱땡이': 7528, '왕년': 7529, '박노식': 7530, '박준규': 7531, '주머니': 7532, '루카스': 7533, '천천히': 7534, '물대포': 7535, '쏠때': 7536, '웃겻다': 7537, '테니스': 7538, '종목': 7539, '난생': 7540, '늙어감': 7541, '끄덕이다': 7542, '으로써는': 7543, '느꼇': 7544, '아울리다': 7545, '형용': 7546, '카니발': 7547, '사이드': 7548, '미러': 7549, '상대성': 7550, '이론': 7551, '끙': 7552, '지조': 7553, '베키': 7554, '반대말': 7555, '왜냐하면': 7556, '의료인': 7557, '교육인': 7558, '숙명': 7559, '만드심': 7560, '스토리텔링': 7561, '어내스트': 7562, '셀레스틴': 7563, '돌림': 7564, '이훨': 7565, '문성우': 7566, '써주다': 7567, '살타': 7568, '갈현': 7569, '두루': 7570, '고창': 7571, '따분': 7572, '베트공': 7573, '일병': 7574, '피해': 7575, '데미무어': 7576, '젖통': 7577, '화전': 7578, '오도': 7579, '넬': 7580, '곰탱이': 7581, '겸손': 7582, '무수': 7583, '들썩이다': 7584, '정상인': 7585, '감옥살이': 7586, '김갑수': 7587, '폭락': 7588, '졸료': 7589, '소모': 7590, '느거': 7591, '인관': 7592, '고거': 7593, 'ㅏㄱ': 7594, '김우빈': 7595, '좔좔': 7596, '최소': 7597, '양도': 7598, '헝편없어': 7599, '라우': 7600, '문서': 7601, '리허설': 7602, '인천': 7603, '뚬': 7604, '학부모': 7605, '여진구': 7606, '정진': 7607, '김규리': 7608, '킄': 7609, '전병': 7610, '인간드': 7611, '욱': 7612, '게봣습': 7613, '다시없다': 7614, '고집쟁이': 7615, '여야': 7616, '헛점많': 7617, '꼼꼼하다': 7618, '특정': 7619, '박형식': 7620, '선생': 7621, '다라': 7622, '이기심': 7623, '윤아': 7624, '웹툰': 7625, '독신': 7626, '포유': 7627, '부담스럽다': 7628, '깐느': 7629, '백만불': 7630, '급하다': 7631, '길들이다': 7632, '종료': 7633, '수정과': 7634, '마마마': 7635, '우측': 7636, 'ㅜㅜㅜㅜㅜㅜㅜ': 7637, '강점': 7638, '징용': 7639, '한인': 7640, '천명': 7641, '패전': 7642, '마감': 7643, '조상': 7644, '반공': 7645, '윤두준': 7646, '친해지다': 7647, '안도': 7648, '파일': 7649, '더구나': 7650, '애고': 7651, '헛봤다': 7652, '허드슨': 7653, '넌센스': 7654, '사시': 7655, '인과관계': 7656, '순대볶음': 7657, '자칭': 7658, '인심': 7659, '승려': 7660, '국교': 7661, '세균': 7662, '걔': 7663, '중화사상': 7664, '정통하다': 7665, '족도': 7666, '글치': 7667, '오죽힌': 7668, '뭘루': 7669, '깜바테': 7670, '디센트': 7671, '파스텔': 7672, '단원': 7673, '궤': 7674, '개운하다': 7675, '침울하다': 7676, '찮': 7677, '밑천': 7678, '현영': 7679, '덕의': 7680, '무녀': 7681, '쇼생': 7682, '애비': 7683, '아크엔젤': 7684, '졸데': 7685, '차븟': 7686, 'ㅇㄱ': 7687, '디시': 7688, '그리스': 7689, '감탄사': 7690, '뉴완다': 7691, '샬라샬': 7692, '즁': 7693, '쥬': 7694, '시베리아': 7695, '훈련': 7696, '작살': 7697, '일찐': 7698, '개제': 7699, '손현': 7700, '오룡': 7701, '썻다': 7702, '트이다': 7703, '이민': 7704, '약소국': 7705, '드리우다': 7706, '취했을뿐': 7707, '컴': 7708, '요로': 7709, '나본': 7710, '삼계탕': 7711, '후라이드': 7712, '삼겹살': 7713, '그랫쪄': 7714, '왜케많음': 7715, '핵꿀잼졸잼': 7716, '썪는줄': 7717, '비둘기': 7718, '성애자': 7719, 'ㅘ': 7720, 'ㅏㅏㅏ': 7721, '왜남': 7722, '보석같다': 7723, '노예': 7724, '마약상': 7725, '모조리': 7726, '답니': 7727, '벚꽃': 7728, '밀다': 7729, '치료': 7730, '썸머': 7731, '전수진': 7732, '이은우': 7733, '성수': 7734, '으로서의': 7735, '관계씬': 7736, '일삼': 7737, '말년': 7738, '고하': 7739, '노병': 7740, '싯달': 7741, '못때': 7742, '가식': 7743, '긴왤케': 7744, '향상': 7745, '악물다': 7746, '용의자': 7747, '뫼비우스': 7748, '환타지': 7749, '매장': 7750, '제시': 7751, '아이젠': 7752, '스마트': 7753, '김지석': 7754, '송새벽': 7755, '본전': 7756, '손호영': 7757, '오죽하다': 7758, '엔딩크레딧': 7759, '무지하다': 7760, '느끼하다': 7761, '스웨': 7762, '엇갈리다': 7763, '섭렵': 7764, '샤워': 7765, '말고도': 7766, '중공군': 7767, '각하': 7768, '참전용사': 7769, '호국': 7770, '영령': 7771, '죄송스럽다': 7772, '아바': 7773, '온라인': 7774, '경제': 7775, '갉다': 7776, '억울': 7777, 'ㅊ': 7778, '중주': 7779, '이끼': 7780, '폐쇄성': 7781, '익히다': 7782, '는고': 7783, '분열': 7784, '어법': 7785, '디디': 7786, '개간': 7787, '텝': 7788, '바퀴벌레': 7789, '국밥': 7790, '이명박': 7791, '사대강': 7792, '이대로': 7793, '큰일': 7794, '폐해': 7795, '막연하다': 7796, '문단속': 7797, '중요성': 7798, '불사': 7799, '숨바꼭질': 7800, '마지막방송': 7801, '신성록': 7802, '이율': 7803, 'ㅇㅇㅇ': 7804, '싸움판': 7805, '독일인': 7806, '강렬': 7807, '파도': 7808, '수반': 7809, '육중': 7810, '해병': 7811, '년놈': 7812, '만화챡': 7813, '읊어': 7814, '삭카': 7815, '로제': 7816, '주문': 7817, '어찌나': 7818, '무신': 7819, '때론': 7820, '낚곃네': 7821, '공지': 7822, '김여정': 7823, '출품': 7824, '박경원': 7825, '조수정': 7826, '이빨': 7827, '영물': 7828, '왜꼭': 7829, '완득이': 7830, '찌랭': 7831, '찮음': 7832, '상사': 7833, '생인': 7834, '윤호': 7835, '호탄': 7836, '정여립': 7837, '기축옥사': 7838, '연장': 7839, '어보': 7840, '명치': 7841, '깨달': 7842, '서류': 7843, '봉투': 7844, '상남자': 7845, '파고들다': 7846, '웟': 7847, '파이어': 7848, '질퍽': 7849, '산뜻하다': 7850, '버무러진': 7851, '이자나': 7852, '꾸리': 7853, '시외': 7854, '싱황': 7855, '꿈햇': 7856, '마물': 7857, '아숩다': 7858, '러': 7859, '중량': 7860, '세기말': 7861, '구슬': 7862, '꿰어': 7863, '보배': 7864, '가인': 7865, '정정은': 7866, '어케된거': 7867, '완표': 7868, '재영': 7869, '학기': 7870, '좃': 7871, '전방': 7872, '급속': 7873, '무제한': 7874, '반담횽': 7875, '디바이드': 7876, '읍니': 7877, '금방': 7878, '득템': 7879, '영화롭다': 7880, '케니지': 7881, '다잉영': 7882, '추악하다': 7883, '국방': 7884, '족속': 7885, '핸드': 7886, '사납다': 7887, '괴물영화': 7888, '박빙': 7889, '진부': 7890, '잠입': 7891, '양산': 7892, '스타크': 7893, '눕다': 7894, '무릅쏴': 7895, '사격': 7896, '알렉스': 7897, '오로린': 7898, '심심': 7899, '미묘': 7900, '가나다라': 7901, '알콜중독자': 7902, '전범': 7903, '서영': 7904, '유흥': 7905, '유명인사': 7906, '비싸다': 7907, '구두': 7908, '허울': 7909, '스키니진': 7910, '지드': 7911, '갈피': 7912, '넋두리': 7913, '훼': 7914, '여자아이': 7915, '청순하다': 7916, '응사': 7917, '한혜진': 7918, '지진희': 7919, '열연': 7920, '교도소': 7921, '구먼': 7922, '지아이조': 7923, '일본제국': 7924, '영점': 7925, '청국장': 7926, '잔악하다': 7927, '대길': 7928, '덕햇': 7929, '페이크': 7930, '이민정': 7931, '수천': 7932, '찌잉': 7933, '머릿': 7934, '아리땁다': 7935, '다케우치': 7936, '기모노': 7937, '그랜드': 7938, '부다페스트': 7939, '호텔': 7940, '김병조': 7941, '안과': 7942, '죽는겈': 7943, '딸도': 7944, '아비': 7945, '홀리랜드': 7946, '호야': 7947, '후끈': 7948, '후끈하다': 7949, '지당': 7950, '개이득': 7951, '이양': 7952, '금도': 7953, '속단': 7954, '할리': 7955, '아작': 7956, '소개팅': 7957, '박차다': 7958, '견우': 7959, '거린': 7960, '우물': 7961, '킹오파': 7962, '배틀로얄': 7963, '이영하': 7964, '아부지': 7965, '직시': 7966, '뺴': 7967, '극혐': 7968, '쫓아오다': 7969, '조문탁': 7970, '척도': 7971, '하울': 7972, '팥': 7973, '붕어빵': 7974, '해피앤드': 7975, '뭐시기': 7976, '페테': 7977, '그루지': 7978, '지잔': 7979, '노트': 7980, '불능': 7981, '박규리': 7982, '한승연': 7983, '정니콜': 7984, '구하라': 7985, '강지영': 7986, '카라': 7987, '카밀리아': 7988, '민감하다': 7989, '혐한': 7990, '호크': 7991, '팬심': 7992, '호평': 7993, '충무로': 7994, '막대': 7995, '출산': 7996, '오지랖': 7997, '아싸': 7998, '진입': 7999, '드넹': 8000, '유니세프': 8001, '리암': 8002, '슨': 8003, '잼없드': 8004, '개봉일': 8005, '먹이사슬': 8006, '기두': 8007, '윤설희': 8008, '주마': 8009, '지상': 8010, '통렬': 8011, '퀴': 8012, '릿카': 8013, '박은혜': 8014, '동양': 8015, '쩌러': 8016, '라거': 8017, '운영': 8018, '모퉁이': 8019, '더듬다': 8020, '에헤헹': 8021, '목격': 8022, '유턴': 8023, '착지': 8024, '어설품': 8025, '이펙트': 8026, '마침': 8027, '요일': 8028, '금토': 8029, '캡': 8030, '안당': 8031, '함속': 8032, '엉엉': 8033, '이혜영': 8034, '강남': 8035, '은색': 8036, '재규어': 8037, '외제차': 8038, '캡슐': 8039, '갸차폰': 8040, '완구': 8041, '답안': 8042, '국가대표': 8043, '똥쿠소': 8044, '찌끄레기들': 8045, '꿈나라': 8046, '진주': 8047, '이말년': 8048, '유물': 8049, '차이다': 8050, '진임': 8051, '거쫌': 8052, '도중': 8053, '베데스다': 8054, '작부': 8055, '나눔': 8056, '테스': 8057, '김조한': 8058, '쏭': 8059, '현태': 8060, '짜리몽땅': 8061, '여가': 8062, '깨물다': 8063, '리오': 8064, '모리꼬': 8065, '킥': 8066, '오컬트': 8067, '전문직': 8068, '호령': 8069, '루저': 8070, '다스베이더': 8071, '레이어': 8072, '정신없이': 8073, '곳도': 8074, '육감': 8075, '호호': 8076, '쨩': 8077, '녹': 8078, '독선': 8079, 'ㅠㅡㅠ': 8080, '콜라보': 8081, '썰다': 8082, '영리하다': 8083, '트렌디': 8084, '타계': 8085, '브래드': 8086, '역정': 8087, '리즈중': 8088, '도나': 8089, '설경구': 8090, '발산': 8091, '최적화': 8092, '마스터': 8093, '취권': 8094, '장엄하다': 8095, '엄숙하다': 8096, '은유': 8097, '봉': 8098, '위주': 8099, '이슈': 8100, '료': 8101, '칠하다': 8102, '천배': 8103, '뎃': 8104, '알렉산더': 8105, '비단': 8106, '네러티브': 8107, '취미': 8108, '올인': 8109, '천식': 8110, '창백하다': 8111, '볼껄그': 8112, '괴리감': 8113, '떨치다': 8114, '버무린': 8115, '시에라리온': 8116, '자이몬': 8117, '훈수': 8118, '존큐': 8119, '안젤라베이비': 8120, '꼴릿': 8121, '큰코다치다': 8122, '켄드릭': 8123, '김희로': 8124, '노골': 8125, '방한': 8126, '왜욕해': 8127, '더락': 8128, '존시나': 8129, '셧': 8130, '감당': 8131, '환포': 8132, '지라치': 8133, '다크라이': 8134, '디안시': 8135, '과잉': 8136, '이화여고': 8137, '지구과학': 8138, '숨': 8139, '셀프': 8140, '추강': 8141, '시중': 8142, '수만': 8143, '밋음': 8144, '머나멀다': 8145, 'ㅠㅠㅠㅠㅠㅠㅠㅠ': 8146, '미췬': 8147, '처먹어랔': 8148, '종일': 8149, '대니': 8150, '스티브유': 8151, '그린호넷': 8152, '기쁨': 8153, '섭리': 8154, '성미': 8155, '자애': 8156, '야심': 8157, '다방면': 8158, '보더': 8159, '진실되다': 8160, '대결': 8161, '라이드': 8162, '외쿡': 8163, '다수결': 8164, '운석': 8165, '다큐맨': 8166, '터리': 8167, '맑음': 8168, '파문': 8169, '격하': 8170, '다정하다': 8171, '점단': 8172, '샛기들': 8173, '잘봣으': 8174, '봣다': 8175, '소용': 8176, '넼': 8177, '서러움': 8178, '슷비슷비하': 8179, '이나마': 8180, '템포': 8181, '두드러지다': 8182, '오스먼트': 8183, '낯설다': 8184, '껀줄': 8185, '조미': 8186, '막문위': 8187, '쩡': 8188, '재밋게봐': 8189, '밋엇움': 8190, '네버엔딩': 8191, '간략하다': 8192, '불편': 8193, '서울시장': 8194, '후보': 8195, '착': 8196, '달라붙다': 8197, '이경영': 8198, '윤은혜': 8199, '무조': 8200, '장첸': 8201, '퀵이유': 8202, '차차': 8203, '레파': 8204, '벨아미': 8205, '로버트패틴슨': 8206, '지워지다': 8207, '보수': 8208, '패륜': 8209, '쌉싸름하다': 8210, '석가탄신일': 8211, '석탄일': 8212, '살피다': 8213, '전주': 8214, '국제': 8215, '김영하': 8216, '순서': 8217, '고등학생': 8218, '맹신': 8219, '시정': 8220, '이햐': 8221, '광관': 8222, '학자': 8223, '로마인': 8224, '주해': 8225, '근거': 8226, '전무하다': 8227, '씐': 8228, '부적': 8229, '소질': 8230, '무마': 8231, '대재앙': 8232, '무례하다': 8233, '황은정': 8234, '캡틴': 8235, '보때': 8236, '동민': 8237, '아더': 8238, '원탁': 8239, '랜슬롯': 8240, '란슬롯': 8241, '기네': 8242, '비어': 8243, '역도': 8244, '김강우': 8245, '깽': 8246, '옥택연': 8247, '마누라': 8248, '초능력자': 8249, '한효주': 8250, '처넌': 8251, '보너스': 8252, '픽사': 8253, '전라': 8254, '동키': 8255, '성실하다': 8256, '기적처럼': 8257, '늦가을': 8258, '산책': 8259, '우여곡절': 8260, '교섭': 8261, '가늠': 8262, '매경': 8263, '어학': 8264, '신기하': 8265, '헬로': 8266, '굼뜨': 8267, '느릿느릿': 8268, '익스펜더블': 8269, '백터': 8270, '이소재': 8271, '정신과': 8272, '신경질': 8273, '떽땍거리': 8274, '술함': 8275, '훈련소': 8276, '크': 8277, '민권': 8278, '손꾸락': 8279, '거열': 8280, '다모': 8281, '이원규': 8282, '대학로': 8283, '방송국': 8284, '박대동': 8285, '홍도': 8286, '쾌': 8287, '준면': 8288, '나잘하다': 8289, '궁합': 8290, '그해': 8291, '김현숙': 8292, '옥빈': 8293, '김소연': 8294, '꼽아': 8295, '부각': 8296, '걷다': 8297, '그렇지만': 8298, '채밌네': 8299, '로마시대': 8300, '대다수': 8301, '에린': 8302, '프레스토': 8303, '네요': 8304, '트라이앵글': 8305, '볼랫더': 8306, '라던가': 8307, '훌륭햇음': 8308, '기억상실증': 8309, 'ㅔㅔ': 8310, '나잇': 8311, '데드캠프': 8312, '생존': 8313, '좀재밋다': 8314, '개드립': 8315, '클릭': 8316, '완젼히': 8317, '가지가지': 8318, '더티': 8319, '로맨스코미디': 8320, '남궁민': 8321, '화잇팅': 8322, '조그만': 8323, '치열하다': 8324, '이돈': 8325, '몰랑몰랑': 8326, '자명하다': 8327, '스렉': 8328, '친일': 8329, '페넬로페': 8330, '노출씬': 8331, '장학우': 8332, '드뷔시': 8333, '달빛': 8334, '로티': 8335, '관능': 8336, '이민호': 8337, '대장': 8338, '핟러': 8339, '우주기지': 8340, '튼실하다': 8341, '갈갈': 8342, '세코': 8343, '부문': 8344, '회복': 8345, '본연': 8346, '무니': 8347, '인증': 8348, '바랬어': 8349, '즌': 8350, '만난': 8351, '신사참배': 8352, '케드': 8353, '칠흑': 8354, '추적자': 8355, '셜록홈즈': 8356, '권태기': 8357, '비일': 8358, '반적': 8359, '피트': 8360, '발동': 8361, '특공대': 8362, '장날': 8363, '겁내': 8364, '토크쇼': 8365, '구별': 8366, '발끝': 8367, '소환': 8368, '자새': 8369, '안재욱': 8370, '개새': 8371, '루쿠': 8372, '에반스': 8373, '비즐러': 8374, '엿들으': 8375, '왜색': 8376, '작고': 8377, '교활하다': 8378, '파렐': 8379, '제레미': 8380, '레너': 8381, '왕창': 8382, '브로드밴드': 8383, '낚였네': 8384, '공룡대탐험': 8385, '내버리다': 8386, '카밀라': 8387, '개봉관': 8388, '확보': 8389, '드뎌': 8390, '종말': 8391, '하인': 8392, '욱겨': 8393, '디지다': 8394, '건전하다': 8395, '대풍수': 8396, '교체': 8397, '헛짓임': 8398, '점말': 8399, '고결': 8400, '혼다': 8401, '메이저': 8402, '장담': 8403, '컨데': 8404, '리얼리즘': 8405, '네네': 8406, '먹히다': 8407, '편리': 8408, '오점': 8409, '노노': 8410, '살림': 8411, '리모콘': 8412, '펀집': 8413, '카톡': 8414, '트와일라잇': 8415, '뚝': 8416, '디질레': 8417, '각인': 8418, '진흙': 8419, '찍지마라': 8420, '오연': 8421, '서사시': 8422, '로빈스': 8423, '리포트': 8424, '모튼': 8425, '심즈': 8426, '재미엄': 8427, '유식': 8428, '마키': 8429, '궁극': 8430, '지점': 8431, '만듬': 8432, '잭키': 8433, '바운': 8434, '운스': 8435, '믿음직하다': 8436, '날카로워지다': 8437, '끙끙': 8438, '음침하다': 8439, '영화리뷰': 8440, '제곱': 8441, '까지를': 8442, '교차': 8443, '시방': 8444, '하윤': 8445, '나니아': 8446, '연대기': 8447, '크랭크': 8448, '울렁거리다': 8449, '호모포비아': 8450, '성현': 8451, '구사': 8452, '회보': 8453, '진찌': 8454, '잘라먹다': 8455, '싫어지다': 8456, '오랜만': 8457, '조은경': 8458, '입맞춤': 8459, '황진': 8460, '미씨': 8461, '탱': 8462, '침대': 8463, '옷벗다': 8464, '분잡': 8465, '에두': 8466, '신궁': 8467, '사담': 8468, '사십': 8469, '잘못짚다': 8470, '사들이다': 8471, '우레': 8472, '시가전': 8473, '낸시': 8474, '알렌': 8475, '기선': 8476, '뭉치': 8477, '싸대기': 8478, '멋졋음': 8479, '인철': 8480, '각기': 8481, '안정': 8482, '헥헥거리': 8483, '구니스': 8484, '구디넙': 8485, '감기': 8486, '신선': 8487, '핵꿀잼': 8488, '위태': 8489, '마지노선': 8490, '달마': 8491, '두사부일체': 8492, '주유소': 8493, '시리다': 8494, '넘버': 8495, '니키타': 8496, '뤽': 8497, '배송': 8498, '민요': 8499, '파랑새': 8500, '잡아넣다': 8501, '그룹': 8502, '더럽히다': 8503, '모자이크': 8504, '얙션': 8505, '토토가': 8506, '유플러스': 8507, '헛된': 8508, '코리안': 8509, '얼티': 8510, '텀': 8511, '굿윌헌팅도쩐당': 8512, '아씨': 8513, '신세': 8514, '와아아': 8515, '개편': 8516, '지상렬': 8517, '역주행': 8518, '차로': 8519, '희미하다': 8520, '일명': 8521, '닥치다': 8522, '무력하다': 8523, '앨리': 8524, '클레이': 8525, '더욱이': 8526, '다임': 8527, '미스코리아': 8528, '거젆': 8529, '이대': 8530, '사이코': 8531, '현기증': 8532, '목록': 8533, '베타': 8534, '황홀경': 8535, '속상하다': 8536, '뻑뻑': 8537, '얇다': 8538, '대전': 8539, '네덜란드인': 8540, '일제시대': 8541, '외세': 8542, '침입': 8543, '종류': 8544, '애완견': 8545, '복종': 8546, '배신자': 8547, '척결': 8548, '한창': 8549, '남북': 8550, '평화로': 8551, '서태지': 8552, '이연희': 8553, '하와': 8554, '우연찮': 8555, '이영은': 8556, '최성국': 8557, '윖': 8558, '별루란걸': 8559, '조심하다': 8560, '뎁': 8561, '스패': 8562, '고고': 8563, '서두르다': 8564, '숫자': 8565, '문지기': 8566, '규칙': 8567, '슬링': 8568, '접때': 8569, '상쾌': 8570, '껄끄런': 8571, '드라큐라': 8572, '이육사만': 8573, '딴사람': 8574, '이육사': 8575, '유나': 8576, '이남': 8577, 'ㅠㅂㅠ': 8578, '스톱모션': 8579, '정성': 8580, '못지않다': 8581, '미숙': 8582, '여실히': 8583, '장터': 8584, '정감': 8585, '문근영': 8586, '케보키언': 8587, '만을': 8588, '분신사바': 8589, '박재정': 8590, '윤소이': 8591, '메가박스': 8592, '죄악': 8593, '박하사탕': 8594, '으아아': 8595, '어그': 8596, '공백': 8597, '위안': 8598, '장정초': 8599, '빛깔': 8600, '시초': 8601, '논산': 8602, '마중가': 8603, '허락': 8604, '격은': 8605, '연하다': 8606, '많앗곸': 8607, '스타크래프트': 8608, '질럿들': 8609, '브래드피트': 8610, '동명이인': 8611, '초대': 8612, '승화': 8613, '전투력': 8614, '인어': 8615, '꼬리': 8616, '신비롭다': 8617, '노드': 8618, '해짐': 8619, '내려지다': 8620, '노개런티': 8621, '김우수': 8622, '유괴': 8623, '불협화음': 8624, '코네': 8625, '조앙': 8626, '연소자': 8627, '그랫': 8628, '어떨': 8629, '물고기': 8630, '어부': 8631, '초래': 8632, '소동': 8633, '음미': 8634, '스마일리': 8635, '머피': 8636, '일침': 8637, '가사': 8638, '실었는진': 8639, '인디밴드': 8640, '춥다': 8641, '한겨울': 8642, '안산': 8643, '예술의전당': 8644, '연합': 8645, '화남': 8646, '지자': 8647, '일진': 8648, '잠자코': 8649, '엠페러': 8650, '종결자': 8651, '장고': 8652, '우월': 8653, '남우': 8654, '가만있다': 8655, '불똥': 8656, '성냥': 8657, '재림': 8658, '제빵': 8659, '김탁구': 8660, '해롭다': 8661, '고의': 8662, '정연식': 8663, '파장': 8664, '은테': 8665, '드럼': 8666, '왓으': 8667, '다코타': 8668, '패닝': 8669, '간신히': 8670, '머시': 8671, '염': 8672, '화합': 8673, '왜만듬': 8674, '마리옹': 8675, '꼬띠': 8676, '부딪치다': 8677, '여하튼': 8678, '진의': 8679, '틴토': 8680, '잘만드': 8681, '닳다': 8682, '빈틈': 8683, '권선': 8684, '징악': 8685, '무용': 8686, '멕': 8687, '스파이': 8688, '어덜트': 8689, '어벤져스': 8690, '물결': 8691, '휩쓸다': 8692, '린듯': 8693, '미녀삼총사': 8694, '낭만자객': 8695, '시장': 8696, '사향': 8697, '남의껄': 8698, '못만듬': 8699, '이래도': 8700, '해밋': 8701, '수확': 8702, '셰인': 8703, '성지': 8704, '몬스터': 8705, '주식회사': 8706, '쪽지': 8707, '평땜': 8708, '자음': 8709, '엄태구': 8710, '혜영': 8711, '천만이': 8712, '동근': 8713, '종훈': 8714, '상하': 8715, '신현준': 8716, '셋트메뉴': 8717, '동양인': 8718, '서양인': 8719, '사죄': 8720, '잡기': 8721, '보도': 8722, '연맹': 8723, '명백하다': 8724, '불만제로': 8725, '가량': 8726, '국영': 8727, '사고뭉치': 8728, '눌물': 8729, '유후': 8730, '고등': 8731, '비디오카메라': 8732, '리턴': 8733, '참신': 8734, '허망': 8735, '학력': 8736, '중졸': 8737, '큰소리치다': 8738, '몽골': 8739, '인양': 8740, '젖': 8741, '매기': 8742, '큐땜': 8743, '올밴': 8744, '유세윤': 8745, '음주운전': 8746, '가이무': 8747, '오역': 8748, '에그': 8749, '리즈시절': 8750, '미쉘': 8751, '김정훈': 8752, '구스': 8753, '산트': 8754, '흐미': 8755, '헐겁다': 8756, '사사롭다': 8757, '친하다': 8758, '천원': 8759, '푸념': 8760, 'ㅆㅆㅆㅆㅆㅆ': 8761, '응답': 8762, '연령': 8763, '대별': 8764, '공산당': 8765, '위화': 8766, '북': 8767, 'ㅏㄷ': 8768, '될껀데': 8769, '둥둥': 8770, '떠다니다': 8771, '애마부인': 8772, '입맛': 8773, '나이트워치': 8774, '박얘쁜': 8775, '빠수니': 8776, '누명': 8777, '아웃': 8778, '입단': 8779, '곡예사': 8780, '줄타기': 8781, '사자': 8782, '윤주': 8783, '정호': 8784, '연씨': 8785, '에스팀': 8786, '유래': 8787, '탈락': 8788, '청탁': 8789, '국판': 8790, '브라더스': 8791, '지표': 8792, '관용': 8793, '바질': 8794, '리스크': 8795, 'ㄹㅏ': 8796, '체벌': 8797, '심금': 8798, '몸빵': 8799, '괜춘함': 8800, '겹': 8801, '빡': 8802, '꾸밈': 8803, '빈번': 8804, '여경': 8805, '경첨': 8806, '띄다': 8807, '신애': 8808, '휠씬잼밌': 8809, '노희경': 8810, '나수윤': 8811, '침묵': 8812, '이준익': 8813, '광': 8814, '코프': 8815, '드라만데': 8816, '이선': 8817, '민지': 8818, '라만': 8819, '핑': 8820, '한평생': 8821, '서서': 8822, '명예': 8823, '파렴치하다': 8824, '리자': 8825, '개멋': 8826, '홀홀': 8827, '교향곡': 8828, '저급': 8829, '긴지': 8830, '캐치온': 8831, '말리다': 8832, '한자': 8833, '비로소': 8834, '사대': 8835, '지못미': 8836, '은데': 8837, '원씨': 8838, '드러내다': 8839, '화통': 8840, '거돈': 8841, '어캐봐': 8842, '이두용': 8843, '렸': 8844, '간질': 8845, '긁다': 8846, '김해숙': 8847, '일장춘몽': 8848, '아론': 8849, '레논': 8850, '살수': 8851, '발암': 8852, '깝깝': 8853, '컷팅': 8854, '혼나다': 8855, '칙칙하다': 8856, '수긍': 8857, '밑바닥': 8858, '김혜리': 8859, '보물찾기': 8860, '미지': 8861, '판빙빙': 8862, '황효명': 8863, '광경': 8864, '밥말': 8865, '더블린': 8866, '남극': 8867, '휴먼': 8868, '췌밌는데': 8869, '어머님께': 8870, '외할아버지': 8871, '외할머니': 8872, '부여': 8873, '촌티': 8874, '유희': 8875, '오지명': 8876, '명의': 8877, '데뷰': 8878, '내적': 8879, '외적인': 8880, '정답': 8881, '랄거': 8882, '날짜': 8883, '왜정': 8884, '한지민': 8885, '세라': 8886, '저기': 8887, '박정철': 8888, '고릴라': 8889, '거도': 8890, '레즈비언': 8891, '배렸다': 8892, '후퇴': 8893, '퓨티드': 8894, '수두': 8895, '투신': 8896, '덴마': 8897, '박정민': 8898, '미만': 8899, '추접': 8900, '무모하다': 8901, '알앗슴': 8902, '으로만은': 8903, '마라천': 8904, '옆집': 8905, '괴기': 8906, '서울대': 8907, '굴려': 8908, '직종': 8909, '아팟': 8910, '분투': 8911, '옹졸하다': 8912, '뭐함': 8913, '홍수아': 8914, '커트코베인': 8915, '시원시원하다': 8916, '애인': 8917, '방공': 8918, '딱좋다': 8919, '세르': 8920, '지오': 8921, '구티': 8922, '레스': 8923, '슬레': 8924, '셔물': 8925, '들어맞다': 8926, '희귀': 8927, '웨딩싱어': 8928, '배심원': 8929, '는단': 8930, '조정석': 8931, '불평등': 8932, '미사여구': 8933, '루프': 8934, '사가다': 8935, '콜라': 8936, '에이스': 8937, '폭': 8938, '협동': 8939, '개인주의': 8940, '케르디오': 8941, '메로엣타': 8942, '맞서다': 8943, '뒤집어지다': 8944, '포럼': 8945, '윌': 8946, '에너미': 8947, '앳': 8948, '게이트': 8949, '전도': 8950, '소련군': 8951, '진격': 8952, '탈영병': 8953, '재밋는거': 8954, '동행': 8955, '가족사진': 8956, '사슴': 8957, '므': 8958, '최민식': 8959, '히스레져': 8960, '비견': 8961, '괜차늠': 8962, '딱지왕': 8963, '볼륨': 8964, '나른하다': 8965, '아메리칸파이': 8966, '괜시리': 8967, '공항': 8968, '딱딱하다': 8969, '조리': 8970, '스크립트': 8971, '글러': 8972, '바랬다': 8973, '열도': 8974, '대중화': 8975, '나물': 8976, '하등': 8977, '무섭딘': 8978, '잘나가다': 8979, '치히로': 8980, '행방불명': 8981, '겟썸': 8982, '삐': 8983, '알맹이': 8984, '치장': 8985, '자만': 8986, '특성': 8987, '출하': 8988, '오직': 8989, '강호': 8990, '흑전사': 8991, '매달': 8992, '아가': 8993, '할인': 8994, '평인': 8995, '블레어': 8996, '시프트': 8997, '정통': 8998, '메뚜기': 8999, '미미하다': 9000, '도신': 9001, '뉴욕': 9002, '직': 9003, '주사위': 9004, '엇네': 9005, '사리': 9006, '맛보다': 9007, '퀵': 9008, '그래비티': 9009, '영화제작사': 9010, '비강': 9011, '도박': 9012, '절친': 9013, '관여': 9014, '중견': 9015, '술사': 9016, '헛': 9017, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 9018, '구제불': 9019, '능이': 9020, '에드먼드': 9021, '젤리': 9022, '거들다': 9023, '하여간': 9024, '쥐뿔': 9025, '어머님': 9026, '삼십분': 9027, '왜나왓는': 9028, '불친절하다': 9029, '내해': 9030, '놈놈놈': 9031, '화살': 9032, '허리': 9033, '여군': 9034, '금단비': 9035, '까지라도': 9036, '성질': 9037, '이이해': 9038, '막내': 9039, '신발': 9040, '응응': 9041, '광팬': 9042, '일과': 9043, '취업': 9044, '안전': 9045, '바규': 9046, '실무': 9047, '플레이': 9048, '김경석': 9049, '쓰레길': 9050, '볼보': 9051, '밑밥': 9052, '끝낼떄': 9053, '실질': 9054, '공중전': 9055, '인크레더블': 9056, '대중성': 9057, '왜르케': 9058, '스메': 9059, '소드': 9060, '코스모폴리스': 9061, '퇴물': 9062, '죽어뿌': 9063, '일관': 9064, '헤드': 9065, '펑점': 9066, '무자비하다': 9067, '엥': 9068, '바론': 9069, '삽': 9070, '파내다': 9071, '탐구': 9072, '토익': 9073, '스리': 9074, '킵': 9075, '무빙': 9076, '포워드': 9077, '호킨스': 9078, '샘슨': 9079, '게일': 9080, '랜디': 9081, '우디알렌': 9082, '탱고': 9083, '배비장전': 9084, '격려': 9085, '방지법': 9086, '합성': 9087, '비틀어지다': 9088, '토대': 9089, '퀵실버': 9090, '유튜브': 9091, '학교괴담': 9092, '퀸틴': 9093, '포룸': 9094, '나카타': 9095, '유전자': 9096, '샌드맨': 9097, '왜안됫': 9098, '웅': 9099, '빠다': 9100, '더프': 9101, '난또': 9102, '원한': 9103, '디아나': 9104, '암프': 9105, '랄프': 9106, '들여다보다': 9107, '챔프': 9108, '허탈': 9109, '이미테이션': 9110, '쯧': 9111, '기인': 9112, '시아란': 9113, '힌즈': 9114, '걸즈': 9115, '창문': 9116, '캠프락': 9117, '버레스크등': 9118, '부수': 9119, '불사신': 9120, '꼬이다': 9121, '풀림': 9122, '계몽영화': 9123, '답습': 9124, '스트라이커': 9125, '몇대': 9126, '날고기': 9127, '코스': 9128, '르노': 9129, '라르': 9130, '브': 9131, '지크': 9132, '미처': 9133, '노도': 9134, '전직': 9135, '브라보': 9136, '느슨하다': 9137, '콧물': 9138, '드라마스페셜': 9139, '만년': 9140, '지망': 9141, '애환': 9142, '경력': 9143, '스웨덴': 9144, '흐헬': 9145, '횡단보도': 9146, '건너다': 9147, '이범수': 9148, '추상': 9149, '사토미': 9150, '이건모': 9151, '치매': 9152, '영화대본': 9153, '가위바위보': 9154, '말좀해': 9155, '기관사': 9156, '자수': 9157, '낙태': 9158, '한고은': 9159, '인적': 9160, '이탈리아': 9161, '세현': 9162, '비아': 9163, '눈길': 9164, '편지': 9165, '넴': 9166, '무책임하다': 9167, '다른사람': 9168, '쓰기': 9169, '마샬': 9170, '헛슨': 9171, '까지나': 9172, '라디오': 9173, '기숙': 9174, '전원': 9175, '에타': 9176, '숨지다': 9177, '우마': 9178, '동해': 9179, '호소': 9180, '요시히코': 9181, '엄따': 9182, '믕지': 9183, '방학': 9184, '뉴코아': 9185, '지배': 9186, '개월': 9187, '스카이': 9188, '쇼와시대': 9189, '대략': 9190, '웜홀': 9191, '친숙하다': 9192, '노트르담': 9193, '카사노바': 9194, '난대': 9195, '어가': 9196, '셀': 9197, '리아나': 9198, '애린': 9199, '는가': 9200, '에손': 9201, '얹다': 9202, 'ㅅㅂㅡㅡ': 9203, '아보': 9204, '포도': 9205, '딸기': 9206, '쭝쿠러': 9207, '로드무비': 9208, '눈뜨다': 9209, '샬로': 9210, '맹목': 9211, '샬': 9212, '살길': 9213, '꼬박': 9214, '추월': 9215, '가넷': 9216, '태우다': 9217, '사이더': 9218, '투입': 9219, '쒸레기': 9220, '옥주현': 9221, '진배': 9222, '이예': 9223, '킌': 9224, '아이맥스': 9225, '조우': 9226, '윤하': 9227, '논스톱': 9228, '자락': 9229, '순응': 9230, '세밀': 9231, '건일': 9232, '꼭보': 9233, '이즈': 9234, '구야': 9235, '쓰나미': 9236, '기겁': 9237, '대나무': 9238, '에서가': 9239, '미디어': 9240, '미지근하다': 9241, '뿜는': 9242, '서도': 9243, '코엑스': 9244, '아랫쪽': 9245, '배치': 9246, '충돌': 9247, '거룩하다': 9248, '구려': 9249, '이블데드': 9250, '정은': 9251, '암살': 9252, '껌': 9253, '김선빈': 9254, '달밤': 9255, '푸근하다': 9256, '매너리즘': 9257, '이노센스': 9258, '간접': 9259, '거북하다': 9260, '거처': 9261, '새끼고양이': 9262, '전선': 9263, '들이밀다': 9264, '투니버스': 9265, '열쇠': 9266, '겄': 9267, '꾹': 9268, 'ㅃㅋ': 9269, '눈을땔수': 9270, '일박이일': 9271, '멘타리': 9272, '제자리걸음': 9273, '퇴화': 9274, '유료': 9275, '사천원': 9276, '다니엘헤니': 9277, '기량': 9278, '본진': 9279, '헤드셋': 9280, '찌릴뻔': 9281, '눈밭': 9282, '꼬맹일때': 9283, '진좀': 9284, '이주': 9285, '꽁': 9286, '막바지': 9287, '순풍': 9288, '낚였': 9289, '남아도': 9290, '적월': 9291, '율': 9292, '이백만원': 9293, '벌금': 9294, '붕법': 9295, '설렁설렁': 9296, '혼': 9297, '이치': 9298, '닌교': 9299, '츠가이': 9300, '인형사': 9301, '연쇄': 9302, '당계례': 9303, '발차기': 9304, '독재정': 9305, '지시': 9306, '자알': 9307, '강풀': 9308, '벼': 9309, '지역감정': 9310, '공인': 9311, '민국이': 9312, '데뷔': 9313, '비속어': 9314, '이시영': 9315, '뚝심': 9316, '모욕감': 9317, '당하': 9318, '봤슴당': 9319, '위만': 9320, '김남길': 9321, 'ㅈㅈ': 9322, '미셸': 9323, '레오': 9324, '락스': 9325, '홀리모터스': 9326, '적지': 9327, '톡톡하다': 9328, '박쥐': 9329, '백미': 9330, '어슬픔': 9331, '영국영화': 9332, '서고': 9333, '강도': 9334, '인질': 9335, '하다못해': 9336, '덩': 9337, '비폭력': 9338, '딜레마': 9339, '남진': 9340, '코닌': 9341, '거짓말쟁이': 9342, '김영광': 9343, '경수진': 9344, '초로': 9345, '재밋네': 9346, '달팽이': 9347, '김프': 9348, '리맨': 9349, '균형': 9350, '용하다': 9351, '통일한국': 9352, '그리스도인': 9353, '블라인드': 9354, '탄식': 9355, '살며시': 9356, '박지수': 9357, '엣지': 9358, '초집': 9359, '습니': 9360, '햇습': 9361, '볼론': 9362, '점준새': 9363, '소시지': 9364, '박혓': 9365, '타락하다': 9366, '예비': 9367, '마르': 9368, '바벨': 9369, '강정': 9370, '그램': 9371, '고안': 9372, '정안': 9373, '느꼇는데': 9374, '트레일러': 9375, '분간': 9376, '에잉': 9377, '크리에이터': 9378, '압시': 9379, '비행': 9380, '화학': 9381, '봣습니닼': 9382, '잼잇엇숩니': 9383, '본가': 9384, '따먹다': 9385, '팔이만': 9386, '룸싸롱': 9387, '찌라시': 9388, '소비자': 9389, '상호': 9390, '만이라도': 9391, '그루': 9392, '가정은': 9393, '파탄': 9394, '꽁꽁': 9395, '싸': 9396, '조악하다': 9397, '주술': 9398, '그림형제': 9399, '버치': 9400, '크로이처': 9401, '소나타': 9402, '극명하다': 9403, '대론': 9404, '더라도': 9405, '퍼트': 9406, '오드리햅번': 9407, '플래닛': 9408, '비보': 9409, '이를': 9410, '나마': 9411, '일자리': 9412, '포탈': 9413, '아이로봇': 9414, '산낙지': 9415, '재기': 9416, '식당': 9417, '차세대': 9418, '언밸러스': 9419, '뚱뚱하다': 9420, '고역': 9421, '간간히': 9422, '계명': 9423, '병동': 9424, '로뎅': 9425, '아릅답': 9426, '까미유': 9427, '뇌리': 9428, '앨런': 9429, '알프레드': 9430, '투비': 9431, '임마': 9432, '쩌내': 9433, '비디오테잎': 9434, '좍좍': 9435, '패럴': 9436, '극도': 9437, '저해': 9438, '유년': 9439, '태운': 9440, '법칙': 9441, '주네': 9442, '워낭소리': 9443, '진개': 9444, '천카이거': 9445, '효느': 9446, '생명체': 9447, '진화': 9448, '한채영': 9449, '무식': 9450, '로디': 9451, '쉽죠잉': 9452, '지송': 9453, '강압': 9454, '주입': 9455, '실태': 9456, '평화롭다': 9457, '숙청': 9458, '강행': 9459, '뼈채': 9460, '덴젤': 9461, '청순': 9462, '번더': 9463, '신영화': 9464, '브는중': 9465, '익숙해지다': 9466, '가박': 9467, '장대': 9468, '소하': 9469, '이기주의': 9470, '이불': 9471, '덮다': 9472, '십대': 9473, '테크닉': 9474, 'ㅝ': 9475, '맛깔': 9476, '답임': 9477, '벡실': 9478, '츽오': 9479, '나늬겟': 9480, '솟아오르다': 9481, '샘물': 9482, '양파': 9483, '수염': 9484, '복잡': 9485, '진진': 9486, '스틴던스트': 9487, '예외': 9488, '오래도록': 9489, '석호': 9490, '올라서다': 9491, '할리우드영화': 9492, '읔': 9493, '읭스러움': 9494, '태클': 9495, '거때메': 9496, '어쩌실꺼': 9497, '속출': 9498, '시갈영홪우': 9499, '에게서': 9500, '자동': 9501, '응답기': 9502, '듯이': 9503, '과소': 9504, '가레스': 9505, '아주아주': 9506, '관조': 9507, '나부랭이': 9508, '진짴': 9509, '도시공학': 9510, '월리': 9511, '애견': 9512, 'ㅠㅅㅠ': 9513, '장서희': 9514, '못구': 9515, '다각': 9516, '보수파': 9517, '한판': 9518, '분나': 9519, '묘기': 9520, '썻는': 9521, '주저': 9522, '저수지': 9523, '펄프픽션': 9524, '꼽는다': 9525, '방귀만': 9526, '잔뜩뀌': 9527, '팬티': 9528, '클러버': 9529, '아늠': 9530, '돔': 9531, '때때로': 9532, '아이구': 9533, '왜썻을까': 9534, '티켓파워': 9535, '씨네프': 9536, '내뿜': 9537, '영홬': 9538, '루고': 9539, '멎다': 9540, '약자': 9541, '마야': 9542, '불안감': 9543, '이암': 9544, '부전': 9545, '워터': 9546, '마스코트': 9547, '희재': 9548, '빈번히': 9549, '블리치': 9550, '반올림': 9551, '막말': 9552, '오태식': 9553, '송시': 9554, '쉴드치다': 9555, '김대호': 9556, '병풍': 9557, '모시다': 9558, '태현': 9559, '경계': 9560, '산화': 9561, '웹': 9562, '까맣다': 9563, '쓸모없다': 9564, '뻣뻣하다': 9565, '퇴보': 9566, '아프리카': 9567, '사치': 9568, '서언': 9569, '서준이': 9570, '볼맛': 9571, '붙이': 9572, '심빠들': 9573, '도서관': 9574, '이하고': 9575, '퀸카': 9576, '쓰레기통': 9577, '물벼락': 9578, '낚인건': 9579, '허각': 9580, '노무': 9581, '엿같다': 9582, '배추': 9583, '월트디즈니': 9584, '도리': 9585, '가까이': 9586, '채시라': 9587, '한가인': 9588, '말입': 9589, '소블': 9590, '공블리': 9591, '미션': 9592, '난도질': 9593, '곤충': 9594, '딱이다': 9595, '실현': 9596, '이씨': 9597, '뮤직': 9598, '비됴': 9599, '실습': 9600, '시미즈': 9601, '어따': 9602, '욥': 9603, '제본': 9604, '미도리': 9605, '과다르': 9606, '솔직': 9607, '더블': 9608, '도일': 9609, '최상급': 9610, '조선시대': 9611, '난국': 9612, '밍': 9613, '우와한녀': 9614, '재개': 9615, '스러웟음': 9616, '비주류': 9617, '불가피하다': 9618, '지지다': 9619, '유유': 9620, '증폭': 9621, '코렌': 9622, '부의': 9623, '차예련': 9624, '으로서는': 9625, '오창석': 9626, '중도하차': 9627, '쯪쯔': 9628, '선언': 9629, '섥혀': 9630, '연줄': 9631, '빌어': 9632, '먹고살다': 9633, '야비하다': 9634, '촌철': 9635, '만듭': 9636, '망신': 9637, '프렌치': 9638, '캉캉': 9639, '불어': 9640, '관념': 9641, '이기대': 9642, '창희': 9643, '강산': 9644, '스탭': 9645, '오사카': 9646, '말함': 9647, '암툰': 9648, '무명': 9649, '권인지': 9650, '싸이다': 9651, '마이클잭슨': 9652, '비칭할때': 9653, '피크타임': 9654, '우스꽝스럽다': 9655, '씌우다': 9656, '카메오': 9657, '짙다': 9658, '라일': 9659, '골목': 9660, '상권': 9661, '슈퍼마켓': 9662, '후휘': 9663, '립': 9664, '도란': 9665, '세종대왕': 9666, '이승연': 9667, '계세': 9668, '안타': 9669, '여행가': 9670, '찬송': 9671, '성경책': 9672, '교인': 9673, '그렉': 9674, '박정학': 9675, '패널': 9676, '서운하다': 9677, '벅스라이프': 9678, '관광': 9679, '쿵푸': 9680, '자유분방하다': 9681, '집시': 9682, '정신의학': 9683, '분노조절': 9684, '증상': 9685, '파손': 9686, '선샤인': 9687, '금요일': 9688, '활력소': 9689, '보듬다': 9690, '고레': 9691, '히로': 9692, '아나킨': 9693, '쪽국': 9694, '퀼': 9695, '욕함': 9696, '민초': 9697, '나누어지다': 9698, '꽃봉오리': 9699, '분별': 9700, '정은채': 9701, '우울': 9702, '비용': 9703, '생산': 9704, '먹고다': 9705, '일이구': 9706, '대세': 9707, '배급': 9708, '한나': 9709, '넘겨보다': 9710, '요요': 9711, '무뚝뚝하다': 9712, '스탭들': 9713, '압삘럽': 9714, '안간힘': 9715, '거북': 9716, '한단': 9717, '정신승리': 9718, '곁들이다': 9719, '설계': 9720, '요런': 9721, '골드미스': 9722, '세바퀴': 9723, '봣드': 9724, '나이틀리': 9725, '정신장애': 9726, '틱장애': 9727, '해파리': 9728, '현수': 9729, '내사': 9730, '우먼': 9731, '이지현': 9732, '육체': 9733, '뿅': 9734, '힌국': 9735, '머좀': 9736, '무착': 9737, '지정학적': 9738, '패왕별희': 9739, '리멤버': 9740, '흐접': 9741, '어어어어': 9742, '관장': 9743, '뱃가이': 9744, '불리다': 9745, '교코': 9746, '케이코': 9747, '세이': 9748, '규': 9749, '우우': 9750, '귀찮다': 9751, '이정우': 9752, '다미': 9753, '김푸른': 9754, '봉사활동': 9755, '이인상': 9756, '그로테스크': 9757, '나제': 9758, '흘렷다': 9759, '파헤치다': 9760, '크리스티나': 9761, '나래': 9762, '가난': 9763, '최무룡': 9764, '맞장구': 9765, '부탄가스': 9766, '터뜨리다': 9767, '실사영화': 9768, 'ㅏㅋㅋ': 9769, '원보': 9770, '웃스': 9771, '정식': 9772, '왜왜왜': 9773, '미궁': 9774, '못하겄내': 9775, '하문': 9776, '미제': 9777, '느그': 9778, '중거': 9779, '따리': 9780, '낚었어': 9781, '왜케많': 9782, '후진국': 9783, '환가': 9784, '퀄': 9785, '써머': 9786, '관성': 9787, '걸핏하면': 9788, '깨지다': 9789, '재혼': 9790, '조울증': 9791, '웩': 9792, '기름': 9793, '갚다': 9794, '소감': 9795, '새미': 9796, '어드벤쳐': 9797, '용검': 9798, '위워회': 9799, '라닥': 9800, '복용': 9801, '유효하다': 9802, '디스크': 9803, '낯가림': 9804, 'ㅇㄴ': 9805, 'ㅁㅊ': 9806, '악의': 9807, '트집': 9808, '대접': 9809, '개차반': 9810, '저스틴': 9811, '팀버': 9812, '레이크': 9813, '연애소설': 9814, '드레곤': 9815, '기형': 9816, '찬성': 9817, '시온': 9818, '테라': 9819, '감임': 9820, '살색': 9821, '하늘나라': 9822, '레저': 9823, '재탄생': 9824, '서요': 9825, '통속': 9826, '개구리': 9827, '극찬': 9828, '재미나다': 9829, '굶주리다': 9830, '얻어맞다': 9831, '여우': 9832, '챠크라': 9833, '장례식': 9834, '엘레나': 9835, '드라이': 9836, '하이힐': 9837, '전기톱': 9838, '무쌍': 9839, '개똥': 9840, '망고': 9841, '위기': 9842, '매그놀리아': 9843, '년차': 9844, '최효종': 9845, '김원효': 9846, '꼬꼬': 9847, '스탠리': 9848, '효과음': 9849, '언더월드': 9850, '동굴': 9851, '없슴다': 9852, '들리다': 9853, '고집': 9854, '참사': 9855, '중이': 9856, '인어공주': 9857, '아웅': 9858, '도자기': 9859, '글쎼': 9860, '프랑스인': 9861, '회고': 9862, '라오스': 9863, '해빙': 9864, '사릉': 9865, '흡': 9866, '명량': 9867, '쩍발': 9868, '차도': 9869, '다니엘': 9870, '스콜': 9871, '세지': 9872, '쫭': 9873, '낮아지다': 9874, '맑은': 9875, '세탁기': 9876, '경화': 9877, '쿠엔틴': 9878, '광대하다': 9879, 'ㄴㅅ': 9880, '십분': 9881, '월드컵': 9882, '재밋게본': 9883, '에스프레소': 9884, '땡기다': 9885, '집대성': 9886, '힛걸': 9887, '모레츠': 9888, '맞춤': 9889, '면알': 9890, '가증': 9891, '짜증스럽다': 9892, '쑈할때': 9893, '행각': 9894, '뻔뻔': 9895, '메우다': 9896, '빈센트': 9897, '발작': 9898, '추기경': 9899, '교황': 9900, '격었': 9901, '동감': 9902, '니시다': 9903, '김현주': 9904, '활발하다': 9905, '드하': 9906, '김민': 9907, '에네스': 9908, '카야': 9909, '꺼리다': 9910, '개무시': 9911, '경기': 9912, '독사': 9913, '진저리': 9914, '스나입스': 9915, '똑': 9916, '미국드라마': 9917, '소담': 9918, '제대': 9919, '권력자': 9920, '산물': 9921, '부처': 9922, '사과': 9923, '신동': 9924, '뿌듯하다': 9925, '행간': 9926, '순진하다': 9927, '특선영화': 9928, '으이구': 9929, '여덟': 9930, '도라에몽': 9931, '애매': 9932, '헬스장': 9933, '사키': 9934, '부추기다': 9935, '추격씬': 9936, '한풀': 9937, '영도': 9938, '조선소': 9939, '지난해': 9940, '선박': 9941, '수주': 9942, '아웃사이더': 9943, '구급대원': 9944, '시킴': 9945, '비범하다': 9946, '부러워하다': 9947, '공작': 9948, '참새': 9949, '날아가다': 9950, '만끽': 9951, '양대': 9952, '산맥': 9953, '이보희': 9954, '에이브': 9955, '릴': 9956, '라빈': 9957, '낚였눼': 9958, '워리어': 9959, '고립': 9960, '혈육': 9961, '펌프': 9962, '노파': 9963, '김은형': 9964, '문명': 9965, '불알': 9966, '밋게봣': 9967, '딘': 9968, '몰래': 9969, '금기': 9970, '유사': 9971, '거북이': 9972, '모터': 9973, '최첨단': 9974, '그러기에': 9975, '날림': 9976, '살인씬': 9977, '친절': 9978, '오른': 9979, '뻐기다': 9980, '훨배': 9981, '쇼생크탈출': 9982, '요따위': 9983, '포르코': 9984, '저음': 9985, '욱일승천기': 9986, '일장기': 9987, '일맥상통': 9988, '택배': 9989, '머랄': 9990, '이삼': 9991, '아하': 9992, '롯데': 9993, '왜인': 9994, '업체': 9995, '유람선': 9996, '잠도': 9997, '체험': 9998, '퉁': 9999, '궈': 10000, '먹기': 10001, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 10002, '합격': 10003, '봉작': 10004, '자꾸만': 10005, '계집': 10006, '초상': 10007, '사빠': 10008, '순결하다': 10009, '곧다': 10010, '수원': 10011, '규모': 10012, '징징대다': 10013, '이탈리아인': 10014, '일어': 10015, '식객': 10016, '안토니오': 10017, '모티프': 10018, '작별인사': 10019, '토이스토리': 10020, '고시원': 10021, '마주치다': 10022, '심승보': 10023, '종북주의자': 10024, '판명': 10025, '국보법': 10026, '엄중하다': 10027, '다스리다': 10028, '이적': 10029, '빠아님': 10030, '와나': 10031, '럼': 10032, '골빈뇬들': 10033, '신기다': 10034, '수행': 10035, '조가': 10036, '리키': 10037, '슈러더': 10038, '주근깨': 10039, '울부짖다': 10040, '드릅': 10041, '훠': 10042, '얼씬': 10043, '최동훈': 10044, '전우치': 10045, '주심': 10046, '탁구': 10047, '질때': 10048, '술술': 10049, '흠결': 10050, '일뚱': 10051, '박지성': 10052, '얼리다': 10053, '나오넥': 10054, '밋엇다': 10055, '랭킹': 10056, '일텐데': 10057, '바지': 10058, '헐헐': 10059, '기능': 10060, '샤샤': 10061, '티라노': 10062, '뭐햇': 10063, '침팬지': 10064, '통행': 10065, '직진': 10066, '로큰롤': 10067, '여자도': 10068, '원수': 10069, '코코몽': 10070, '막일': 10071, '캐나다': 10072, '영화제작': 10073, '브라질': 10074, '관망': 10075, 'ㄹㅋ': 10076, '월러스': 10077, '처형': 10078, '울림': 10079, '제주도': 10080, '힘알': 10081, '로마군': 10082, '레어템': 10083, '템': 10084, '호박': 10085, '오죽': 10086, '잔대': 10087, '유캔': 10088, '퀀시': 10089, '시네마천국': 10090, '코러스': 10091, '찡끗': 10092, '강하': 10093, '기운': 10094, '꿋꿋하다': 10095, '왈가': 10096, '왈부': 10097, 'ㅎㅌㅊ': 10098, '최선': 10099, '최상': 10100, '낚일순': 10101, '랍니다': 10102, '확장': 10103, '맥과이어': 10104, '에어': 10105, '리언': 10106, '한일': 10107, '신카이': 10108, '마코토': 10109, '카나': 10110, '결여': 10111, '선입견': 10112, '꼴통': 10113, '페미니즘': 10114, '페미나치': 10115, '마인드': 10116, '존못': 10117, '나사': 10118, '고양': 10119, '웨폰': 10120, '어뜨케': 10121, '시꺼멓다': 10122, '뻔헸': 10123, '다지다': 10124, '따': 10125, '재발': 10126, '갓말띤줄알았': 10127, '렛': 10128, '아이디': 10129, '걸끝': 10130, '닮음': 10131, '골든': 10132, '라즈': 10133, '상식': 10134, '양키': 10135, '풍족하다': 10136, '팬픽': 10137, '배속': 10138, '고자': 10139, '제한': 10140, '유속': 10141, '이문식': 10142, '쇠발개쉐기': 10143, '파워레인저': 10144, '편리하다': 10145, '한가운데': 10146, '헤매다': 10147, '소림축구': 10148, '김두영': 10149, '보존': 10150, '분에이': 10151, '걸짝': 10152, '일도': 10153, '제하': 10154, '화재현장': 10155, '상반기': 10156, '날수': 10157, '와리': 10158, '색휘': 10159, '사로잡히다': 10160, '완젼빠': 10161, '장백지': 10162, '자부': 10163, '달성': 10164, '혈팬': 10165, '혜람이죽엇네': 10166, '사골': 10167, '우려': 10168, '먹듯': 10169, '썰매': 10170, '목적지': 10171, '데몰리션맨': 10172, '이퀄리브리엄': 10173, '가져다주다': 10174, '개살구': 10175, '맟춰': 10176, '메뉴': 10177, '드삼': 10178, '박스': 10179, '오피스': 10180, '재밌': 10181, '와이': 10182, '무치다': 10183, '쫙깔렷': 10184, '뒤쪽': 10185, '폭포': 10186, '비키다': 10187, '예의': 10188, '모호하다': 10189, '갸웃': 10190, '자위행위': 10191, '화평': 10192, '진화론': 10193, '깍지': 10194, '천안함프로젝트': 10195, '골깜': 10196, '부라리다': 10197, '마직': 10198, '막부': 10199, '구숙정': 10200, '가라앉다': 10201, '비열하다': 10202, '가스펠': 10203, '편곡': 10204, '브리짓스': 10205, '가래': 10206, '헤일': 10207, '테': 10208, '벨트': 10209, '거만하다': 10210, '사형수': 10211, '갈증': 10212, '해소': 10213, '수박도': 10214, '케토': 10215, '펠릭스': 10216, '라이터': 10217, '역행': 10218, '헤어지자': 10219, '가세': 10220, '욯': 10221, '어케되는': 10222, '순이': 10223, '다투다': 10224, '무표': 10225, '홍혜정': 10226, '이그': 10227, '마도': 10228, '후련': 10229, '나머': 10230, '월요일': 10231, '채탁연': 10232, '황우슬혜': 10233, '도가니탕': 10234, '상중하': 10235, '제어': 10236, '퀘': 10237, '뜻밖': 10238, '성추행': 10239, '공갈': 10240, '성매매': 10241, '알선': 10242, '포주': 10243, '소녀시대': 10244, '경쟁자': 10245, '뚜껑': 10246, '폐기물': 10247, '투닥': 10248, '기린': 10249, '이광수': 10250, '능력자': 10251, '비고': 10252, '모텐슨': 10253, '이스턴': 10254, '헛짓': 10255, '이상향': 10256, '스탈': 10257, '대국민': 10258, '박시환': 10259, '난입': 10260, '침': 10261, '쿨하다': 10262, '캄탄할': 10263, '보고따': 10264, '말이얌': 10265, '재밋내': 10266, '리버': 10267, '피닉스': 10268, '공동체': 10269, '포퐁': 10270, '진호': 10271, '하겟네별': 10272, '어나': 10273, '종방': 10274, '방도': 10275, '수백향': 10276, '바른': 10277, '아스': 10278, '트랄': 10279, '놨': 10280, '민세': 10281, '박영린': 10282, '결집': 10283, '개발': 10284, '자빠지다': 10285, '찡하다': 10286, '씨익': 10287, '윽수': 10288, '마법사': 10289, '실비': 10290, '재일동포': 10291, '분단': 10292, '조총련': 10293, '소외': 10294, '차별': 10295, '에이리언': 10296, '욕설': 10297, '엄지원': 10298, '이지아': 10299, '가누다': 10300, '멍멍': 10301, '실습생': 10302, '큰작가되셩': 10303, '문소리': 10304, '톨스토이': 10305, '사상가': 10306, '소로': 10307, '농부': 10308, '일본군': 10309, '나스': 10310, '타샤': 10311, '킨스키': 10312, '델마와루이스': 10313, '케이스': 10314, '너덜너덜': 10315, '누더기': 10316, '리본': 10317, '하고만': 10318, '모독': 10319, '구관': 10320, '명관': 10321, '닭목': 10322, '브금': 10323, '가만': 10324, '정치사': 10325, '회상': 10326, '금성': 10327, '샘플': 10328, '재밋구': 10329, '대규모': 10330, '해상전': 10331, '터너': 10332, '잭스': 10333, '호홉': 10334, '토닥토닥': 10335, '로라': 10336, '이글': 10337, '젖다': 10338, '블렉코메디': 10339, '메딘': 10340, '스마트폰': 10341, '볼바': 10342, '덤덤하다': 10343, '천정명': 10344, '온주완': 10345, '마란': 10346, '존잼': 10347, '벌로': 10348, '죨': 10349, '김조광수': 10350, '보셩': 10351, '휴그랜트': 10352, '제데로': 10353, '고이': 10354, '라이즈': 10355, '여학생': 10356, '백마': 10357, '뮤비': 10358, '압박': 10359, '폴라로이드': 10360, '사진기': 10361, '대조': 10362, '전우': 10363, '몸값': 10364, '소심하다': 10365, '파쿠르': 10366, '레닌': 10367, '시숙': 10368, '숙': 10369, '강시선생': 10370, '노다메': 10371, '아슬아슬하다': 10372, '무궁무진': 10373, '길래': 10374, '뚱보흑': 10375, '피디': 10376, '가타카': 10377, '이다윗': 10378, '어리석다': 10379, '황정음': 10380, '정경호': 10381, '류수영': 10382, '지미': 10383, '매튜': 10384, '맥커너히': 10385, '두고두고': 10386, '아닐런지': 10387, '토의': 10388, '부터의': 10389, '일어서다': 10390, '마당': 10391, '줫': 10392, '십이': 10393, '카운트': 10394, '한일월드컵': 10395, '고루': 10396, '지향': 10397, '이정국': 10398, '짚다': 10399, '비치다': 10400, '년안': 10401, '작품하나': 10402, '결심': 10403, '조성은': 10404, '팔레스타인': 10405, '암도': 10406, '유영': 10407, '어메이징': 10408, '가제': 10409, '총사': 10410, '충동': 10411, '인도영화': 10412, '요기': 10413, '최지우': 10414, '위안부': 10415, '예매': 10416, '허둥대다': 10417, '어둠': 10418, '신밧드': 10419, '험담': 10420, '오한': 10421, '쯔무시': 10422, '구원': 10423, '이듬': 10424, '유동근': 10425, '의형제': 10426, '창의': 10427, '학원물': 10428, '활용': 10429, '줫다': 10430, '원호': 10431, '선출': 10432, '쟁탈전': 10433, '쇼핑': 10434, '보석': 10435, '다이아몬드': 10436, '돌아이': 10437, '얼릉': 10438, 'ㅅㅋ': 10439, '엘지': 10440, '똑바루': 10441, '도도': 10442, '지리멸렬하다': 10443, '세아': 10444, '스포츠영화': 10445, '혼합': 10446, '티브': 10447, '류승범': 10448, '만일': 10449, '시프': 10450, '웨버': 10451, '곰': 10452, '사이버': 10453, '뮬러': 10454, '고명환': 10455, '호프만': 10456, '잡아내다': 10457, '두세': 10458, '지수': 10459, '갈팡질팡': 10460, '아베': 10461, '히로시': 10462, '타무라': 10463, '키도': 10464, '온돌': 10465, '어쩌나': 10466, '불쾌감': 10467, '애둘맘': 10468, '애둘': 10469, '재우다': 10470, '낚으시네': 10471, '오늘밤': 10472, '악몸': 10473, '풀이': 10474, '더기': 10475, '이랬는데': 10476, '미스터빈': 10477, '삼사': 10478, '커피숍': 10479, '의논': 10480, '범학': 10481, '입학': 10482, '훼손': 10483, '웃낌': 10484, '날줄': 10485, '애뜻': 10486, '선수': 10487, '전략': 10488, '줄기': 10489, '국민성': 10490, '충족': 10491, '정신대': 10492, '방구': 10493, '청춘영화': 10494, '브래들리': 10495, '쿠퍼': 10496, '이오': 10497, '걸리버': 10498, '여행기': 10499, '비평': 10500, '승격': 10501, '성악가': 10502, '바탕': 10503, '아리아': 10504, '오달수': 10505, '애매모호하다': 10506, '확실': 10507, '한선': 10508, '먹이': 10509, '폭동': 10510, '울버린': 10511, '랑드': 10512, '토키': 10513, '다카': 10514, '오자룡': 10515, '저하': 10516, '재밋게봣는데': 10517, '평범': 10518, '최강희': 10519, '팅기다': 10520, '마왕': 10521, '겨버령': 10522, '밥상': 10523, '엎음': 10524, '한쪽': 10525, '다이나믹': 10526, '현충일': 10527, '형수': 10528, '관우': 10529, '말씀': 10530, '피부': 10531, '뚫다': 10532, 'ㅋㄱㅋ': 10533, 'ㅜㅜㅠ': 10534, '피우다': 10535, '초늑녁': 10536, '기언': 10537, '못느꼇': 10538, '아노하나': 10539, '슈타게': 10540, '탄피': 10541, '법부': 10542, '엎': 10543, 'ㄱㄱㄱ': 10544, '이현우': 10545, '민호': 10546, '사소하다': 10547, '유주얼서스펙트': 10548, '후배': 10549, '대지': 10550, '버릇': 10551, '모도': 10552, '이롭다': 10553, '류시시': 10554, '시계수리공': 10555, '장효전': 10556, '약혼자': 10557, '뻗다': 10558, '챙': 10559, '붙잡다': 10560, '에잇': 10561, '나무라다': 10562, '분한': 10563, '콩쾌': 10564, '원폭': 10565, '조의': 10566, '꿀': 10567, '실물': 10568, '어유': 10569, '어런': 10570, '참내': 10571, '이진': 10572, '해장국': 10573, '건강하다': 10574, '명필름': 10575, '심재명': 10576, '디스코': 10577, '공찬': 10578, '일색': 10579, '기묘하다': 10580, '대게': 10581, '정해지다': 10582, '마침표': 10583, '낭랑하다': 10584, '리딩': 10585, '레드라이트': 10586, '과찬': 10587, '황제': 10588, '황후': 10589, '불화': 10590, '껄욕': 10591, '유덕': 10592, '더글러스': 10593, '흐트러뜨리': 10594, '윤발': 10595, '자마자': 10596, '여보세요': 10597, '커지다': 10598, '특유의슬': 10599, '상통': 10600, '일치': 10601, '퍼스트': 10602, '달기': 10603, '괴로움': 10604, '랴': 10605, '리슨': 10606, '껄': 10607, '고스트라이더': 10608, '스치다': 10609, '모욕죄': 10610, '더록': 10611, '메타': 10612, '쇼타': 10613, '스시': 10614, '야구모': 10615, '엔티티': 10616, '이수정': 10617, '젓통': 10618, '김혜수': 10619, '어딘': 10620, '붕뜬': 10621, '닫히다': 10622, '박희': 10623, '쇼핑몰': 10624, '이도영': 10625, '상응': 10626, '쒯': 10627, '캔슬': 10628, '거물': 10629, '필추': 10630, '심장마비': 10631, '급사': 10632, '과언': 10633, '사상충': 10634, '코지': 10635, '논픽션': 10636, '총을드': 10637, '포르노그라피': 10638, '이나영': 10639, '임의': 10640, '자각': 10641, '원망하다': 10642, '미군정': 10643, '이승': 10644, '행적': 10645, '규명': 10646, '에로의': 10647, '변모': 10648, '갑작스레': 10649, '한시': 10650, '늦추다': 10651, '가비': 10652, '의향': 10653, '장윤현': 10654, '쓰시': 10655, '번성': 10656, '보조': 10657, '마크': 10658, '진우': 10659, '진혼': 10660, '상술': 10661, '선거': 10662, '세심': 10663, '작업실': 10664, '잠그다': 10665, '도난': 10666, '망청': 10667, '쥐약': 10668, '김혜성': 10669, '이현진': 10670, '카체이싱': 10671, '바둑': 10672, '급수': 10673, '바둑용어': 10674, '자처': 10675, '오른쪽': 10676, '화살표': 10677, '조성': 10678, '내려놓다': 10679, '설국열차': 10680, '가루지기': 10681, '벌레': 10682, '여사': 10683, '낭비하다': 10684, '불현듯이': 10685, '정독': 10686, '천년': 10687, '유혼': 10688, '마니마니': 10689, '잡다하다': 10690, '샛길': 10691, '와아': 10692, '익스트림': 10693, '미요': 10694, '왜세': 10695, '드넒': 10696, '당나라': 10697, '역적': 10698, '김춘추': 10699, '겨짐': 10700, '년반': 10701, '연락': 10702, '덱스터': 10703, '사례': 10704, '나왓으': 10705, '괴뢰': 10706, '왘': 10707, '자고': 10708, '왓음': 10709, '어쨌든': 10710, '에게만': 10711, '헤롱헤롱': 10712, '술처': 10713, '어쩜이리': 10714, '징글': 10715, '딸아이': 10716, '눈시울': 10717, '꿀벌': 10718, '코트': 10719, '반즈': 10720, '생생': 10721, '모나리자': 10722, '어요': 10723, '회볼때': 10724, '후레쉬맨': 10725, '경상도': 10726, '정직하다': 10727, '한숨': 10728, '초이스': 10729, '임밸류': 10730, '껄끄러웠다': 10731, '사가': 10732, '범죄영화': 10733, '허위': 10734, '브라': 10735, '고통스럽다': 10736, '박카스': 10737, '낚지마': 10738, '속수무책': 10739, '김남주': 10740, '표나': 10741, '관상': 10742, '정선경': 10743, '절벽': 10744, '얼꽝': 10745, '어려움': 10746, '테론': 10747, '여겨지다': 10748, '서사': 10749, '서안': 10750, '우쭐': 10751, '주물럭거리다': 10752, '앓다': 10753, '엘리샤': 10754, '커스버트': 10755, '로비': 10756, '컨트롤': 10757, '협회': 10758, '리플': 10759, '헸을것': 10760, '괞찮네': 10761, '제우스': 10762, '박살': 10763, '시나리오작가': 10764, '신파극': 10765, '퍼시픽림': 10766, '어밴져스등': 10767, '근처': 10768, '에라도': 10769, '공임': 10770, '퀸즈': 10771, '김준': 10772, '살육': 10773, '흩어지다': 10774, '밀리': 10775, '식인종': 10776, '어쩌잔거': 10777, '말살': 10778, '해고': 10779, '백만': 10780, '장미': 10781, '엠마뉴엘': 10782, '능동': 10783, '팩트': 10784, '박력': 10785, '스턴': 10786, '상전': 10787, '감우성': 10788, '처분': 10789, '돌팔매': 10790, '나영석': 10791, '학대': 10792, '장애자': 10793, '보이콧': 10794, '이응경': 10795, '길용우': 10796, '감금': 10797, 'ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ': 10798, '충분': 10799, '뉘': 10800, '적요': 10801, '주정뱅이': 10802, '리안': 10803, '소피아': 10804, '흑연': 10805, '합기도': 10806, '갠찮': 10807, '징징거리다': 10808, '머꼬': 10809, '좇': 10810, '상큼': 10811, '무렵': 10812, '띵하다': 10813, '음원': 10814, '햐하핯': 10815, '밓었': 10816, '래서': 10817, '빅팬': 10818, '멀미': 10819, '아이즈': 10820, '강츄': 10821, '한주': 10822, '감정씬': 10823, '또해': 10824, '달리기': 10825, '이민자': 10826, '라스': 10827, '봣어': 10828, '이러다가': 10829, '회태': 10830, '방터': 10831, '게모': 10832, '중국어': 10833, '유승준': 10834, '순박하다': 10835, '등록금': 10836, '거고': 10837, '늘어놓다': 10838, '들르다': 10839, '쮸쮸': 10840, '사서': 10841, '살사': 10842, '히피': 10843, '드럼통': 10844, '비긴': 10845, '어게인': 10846, '견줄': 10847, '마가리타': 10848, '때쌩': 10849, '시들시들하다': 10850, '로세': 10851, '되살리다': 10852, '약물': 10853, '세월호': 10854, '선진': 10855, '하물며': 10856, '우왕': 10857, '현정': 10858, '결재': 10859, '유승호': 10860, '인제': 10861, '한물가다': 10862, '패션쇼': 10863, '다음팟': 10864, '장창': 10865, '저작권': 10866, '카라스': 10867, '트롤': 10868, '파이널판타지': 10869, '요나': 10870, '로무': 10871, '구입': 10872, '사면': 10873, '얏타맨': 10874, '젬': 10875, '양요섭': 10876, '표절논란': 10877}
단어 <PAD>와 맵핑되는 정수 : 0
단어 <UNK>와 맵핑되는 정수 : 1
단어 영화와 맵핑되는 정수 : 2
단어 인코딩 (label)
def texts_to_sequences (tokenized_X_data, word_to_index): encoded_X_data = [] for sent in tokenized_X_data: index_sequences = [] for word in sent: try : index_sequences.append(word_to_index[word]) except KeyError : index_sequences.append(word_to_index[ '<UNK>' ]) encoded_X_data.append(index_sequences) return encoded_X_data encoded_X_train = texts_to_sequences(X_train, word_to_index) encoded_X_valid = texts_to_sequences(X_valid, word_to_index) [[39,
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index_to_word = {} for key, value in word_to_index.items(): index_to_word[value] = key
decoded_sample = [index_to_word[word] for word in encoded_X_train[ 0 ]] print ( '기존의 첫번째 샘플 :' , X_train[ 0 ]) print ( '복원된 첫번째 샘플 :' , decoded_sample) 기존의 첫번째 샘플 : ['감동', '교육', '계', '비판', '사랑', '손대다', '방향', '모두', '에서', '확실하다', '거', '없이', '어정쩡하다', '영화', '바라보다', '만', '하다', '거', '라면', '대체', '극영화', '로', '왜', '만들다', '거야']
복원된 첫번째 샘플 : ['감동', '교육', '계', '비판', '사랑', '손대다', '방향', '모두', '에서', '확실하다', '거', '없이', '어정쩡하다', '영화', '바라보다', '만', '하다', '거', '라면', '대체', '극영화', '로', '왜', '만들다', '거야']
Zero 패딩 (Padding)
encoded_X_train[: 10 ] [[39,
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217,
137,
5329,
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1540,
1722,
4,
7],
[46, 480, 20, 1121, 227, 89, 353, 11, 3, 187, 176, 1952],
[64, 273, 70, 164, 200, 26],
[132, 114, 280, 5],
[3657, 552, 846, 1047, 391, 3657, 93, 5330, 100, 2, 315, 261, 91, 72],
[9, 515, 725, 5331, 5332, 5333, 138]]
max_len = 30 def pad_sequences (sentences, max_len): features = np.zeros(( len (sentences), max_len), dtype = int ) for index, sentence in enumerate (sentences): if len (sentence) != 0 : features[index, : len (sentence)] = np.array(sentence)[:max_len] return features
padded_X_train = pad_sequences(encoded_X_train, max_len = max_len) padded_X_valid = pad_sequences(encoded_X_valid, max_len = max_len)
print ( '훈련 데이터의 크기 :' , padded_X_train.shape) print ( '검증 데이터의 크기 :' , padded_X_valid.shape) 훈련 데이터의 크기 : (7886, 30)
검증 데이터의 크기 : (1972, 30)
print ( '첫번째 샘플의 길이 :' , len (padded_X_train[ 0 ])) print ( '첫번째 샘플 :' , padded_X_train[ 0 ]) 첫번째 샘플의 길이 : 30
첫번째 샘플 : [ 39 1186 843 976 73 2771 1718 272 24 573 49 164 3651 2
1279 11 4 49 399 514 5321 20 37 25 1949 0 0 0
0 0]
LSTM을 이용한 네이버 영화 리뷰 분류 모델
train_label_tensor = torch.tensor(np.array(y_train)) valid_label_tensor = torch.tensor(np.array(y_valid)) embedding_dim = 100 hidden_dim = 128 output_dim = 2 learning_rate = 0.1 num_epochs = 10 class TextClassifier ( nn . Module ): def __init__ (self, vocab_size, embedding_dim, hidden_dim, output_dim): super (TextClassifier, self ). __init__ () self .embedding = nn.Embedding(vocab_size, embedding_dim) self .lstm = nn.LSTM(embedding_dim, hidden_dim, batch_first = True ) self .fc = nn.Linear(hidden_dim, output_dim)
def forward (self, x): # x: (batch_size, seq_length) embedded = self .embedding(x) # (batch_size, seq_length, embedding_dim)
# LSTM은 (hidden state, cell state)의 튜플을 반환합니다 lstm_out, (hidden, cell) = self .lstm(embedded) # lstm_out: (batch_size, seq_length, hidden_dim), hidden: (1, batch_size, hidden_dim)
last_hidden = hidden.squeeze( 0 ) # (batch_size, hidden_dim) logits = self .fc(last_hidden) # (batch_size, output_dim) return logits torch.tensor(padded_X_train) tensor([[ 39, 1186, 843, ..., 0, 0, 0],
[ 62, 3652, 1537, ..., 0, 0, 0],
[ 136, 373, 2, ..., 0, 0, 0],
...,
[ 221, 60, 459, ..., 0, 0, 0],
[ 365, 910, 386, ..., 0, 0, 0],
[ 312, 361, 235, ..., 0, 0, 0]], dtype=torch.int32)
# encoded_train = torch.tensor(padded_X_train).to(torch.int64) encoded_train = torch.tensor(padded_X_train) train_dataset = torch.utils.data.TensorDataset(encoded_train, # 2d train_label_tensor) # 1d train_dataloader = torch.utils.data.DataLoader(train_dataset, shuffle = True , batch_size = 32 )
# encoded_valid = torch.tensor(padded_X_valid).to(torch.int64) encoded_valid = torch.tensor(padded_X_valid) valid_dataset = torch.utils.data.TensorDataset(encoded_valid, valid_label_tensor) valid_dataloader = torch.utils.data.DataLoader(valid_dataset, shuffle = True , batch_size = 1 ) model = TextClassifier(vocab_size, embedding_dim, hidden_dim, output_dim) model.to(device) TextClassifier(
(embedding): Embedding(10878, 100)
(lstm): LSTM(100, 128, batch_first=True)
(fc): Linear(in_features=128, out_features=2, bias=True)
)
criterion = nn.CrossEntropyLoss().to(device) optimizer = torch.optim.Adam(model.parameters(), lr = 0.001 ) def calculate_accuracy (logits, labels): # _, predicted = torch.max(logits, 1) predicted = torch.argmax(logits, dim = 1 ) correct = (predicted == labels).sum().item() total = labels.size( 0 ) accuracy = correct / total return accuracy def evaluate (model, valid_dataloader, criterion, device): val_loss = 0 val_correct = 0 val_total = 0
model.eval() with torch.no_grad(): # 데이터로더로부터 배치 크기만큼의 데이터를 연속으로 로드 for batch_X, batch_y in valid_dataloader: batch_X, batch_y = batch_X.to(device), batch_y.long().to(device)
# 모델의 예측값 logits = model(batch_X)
# 손실을 계산 loss = criterion(logits, batch_y)
# 정확도와 손실을 계산함 val_loss += loss.item() val_correct += calculate_accuracy(logits, batch_y) * batch_y.size( 0 ) val_total += batch_y.size( 0 )
val_accuracy = val_correct / val_total val_loss /= len (valid_dataloader)
return val_loss, val_accuracy num_epochs = 20
# Training loop best_val_loss = float ( 'inf' )
# Training loop for epoch in range (num_epochs): # Training train_loss = 0 train_correct = 0 train_total = 0 model.train() for batch_X, batch_y in tqdm(train_dataloader): # Forward pass batch_X, batch_y = batch_X.to(device), batch_y.long().to(device) # batch_X.shape == (batch_size, max_len) # batch_y = batch_y.long() logits = model(batch_X)
# Compute loss loss = criterion(logits, batch_y)
# Backward pass and optimization optimizer.zero_grad() loss.backward() optimizer.step()
# Calculate training accuracy and loss train_loss += loss.item() train_correct += calculate_accuracy(logits, batch_y) * batch_y.size( 0 ) train_total += batch_y.size( 0 )
train_accuracy = train_correct / train_total train_loss /= len (train_dataloader)
val_loss, val_accuracy = evaluate(model, valid_dataloader, criterion, device)
print ( f 'Epoch { epoch + 1} / { num_epochs } :' ) print ( f 'Train Loss: { train_loss :.4f } , Train Accuracy: { train_accuracy :.4f } ' ) print ( f 'Validation Loss: { val_loss :.4f } , Validation Accuracy: { val_accuracy :.4f } ' )
# 검증 손실이 최소일 때 체크포인트 저장 if val_loss < best_val_loss: print ( f 'Validation loss improved from { best_val_loss :.4f } to { val_loss :.4f } . 체크포인트를 저장합니다.' ) best_val_loss = val_loss torch.save(model.state_dict(), 'best_model_checkpoint.pth' ) 100%|██████████| 247/247 [00:01<00:00, 225.75it/s]
Epoch 1/20:
Train Loss: 0.0097, Train Accuracy: 0.9980
Validation Loss: 1.2554, Validation Accuracy: 0.7556
Validation loss improved from inf to 1.2554. 체크포인트를 저장합니다.
100%|██████████| 247/247 [00:01<00:00, 241.60it/s]
Epoch 2/20:
Train Loss: 0.0079, Train Accuracy: 0.9985
Validation Loss: 1.4400, Validation Accuracy: 0.7581
100%|██████████| 247/247 [00:01<00:00, 152.97it/s]
Epoch 3/20:
Train Loss: 0.0112, Train Accuracy: 0.9970
Validation Loss: 1.1156, Validation Accuracy: 0.7601
Validation loss improved from 1.2554 to 1.1156. 체크포인트를 저장합니다.
100%|██████████| 247/247 [00:01<00:00, 239.18it/s]
Epoch 4/20:
Train Loss: 0.0137, Train Accuracy: 0.9963
Validation Loss: 1.2092, Validation Accuracy: 0.7541
100%|██████████| 247/247 [00:01<00:00, 167.19it/s]
Epoch 5/20:
Train Loss: 0.0295, Train Accuracy: 0.9906
Validation Loss: 1.0336, Validation Accuracy: 0.7465
Validation loss improved from 1.1156 to 1.0336. 체크포인트를 저장합니다.
100%|██████████| 247/247 [00:01<00:00, 238.53it/s]
Epoch 6/20:
Train Loss: 0.0132, Train Accuracy: 0.9966
Validation Loss: 1.3661, Validation Accuracy: 0.7581
100%|██████████| 247/247 [00:01<00:00, 181.97it/s]
Epoch 7/20:
Train Loss: 0.0096, Train Accuracy: 0.9970
Validation Loss: 1.3687, Validation Accuracy: 0.7612
100%|██████████| 247/247 [00:01<00:00, 226.56it/s]
Epoch 8/20:
Train Loss: 0.0097, Train Accuracy: 0.9968
Validation Loss: 1.3568, Validation Accuracy: 0.7698
100%|██████████| 247/247 [00:01<00:00, 238.93it/s]
Epoch 9/20:
Train Loss: 0.0130, Train Accuracy: 0.9958
Validation Loss: 1.2913, Validation Accuracy: 0.7556
100%|██████████| 247/247 [00:01<00:00, 238.29it/s]
Epoch 10/20:
Train Loss: 0.0073, Train Accuracy: 0.9977
Validation Loss: 1.4615, Validation Accuracy: 0.7520
100%|██████████| 247/247 [00:00<00:00, 261.97it/s]
Epoch 11/20:
Train Loss: 0.0042, Train Accuracy: 0.9989
Validation Loss: 1.4505, Validation Accuracy: 0.7627
100%|██████████| 247/247 [00:01<00:00, 232.29it/s]
Epoch 12/20:
Train Loss: 0.0042, Train Accuracy: 0.9987
Validation Loss: 1.4539, Validation Accuracy: 0.7632
100%|██████████| 247/247 [00:01<00:00, 244.68it/s]
Epoch 13/20:
Train Loss: 0.0035, Train Accuracy: 0.9990
Validation Loss: 1.5447, Validation Accuracy: 0.7667
100%|██████████| 247/247 [00:00<00:00, 253.20it/s]
Epoch 14/20:
Train Loss: 0.0035, Train Accuracy: 0.9987
Validation Loss: 1.5068, Validation Accuracy: 0.7622
100%|██████████| 247/247 [00:00<00:00, 248.80it/s]
Epoch 15/20:
Train Loss: 0.0031, Train Accuracy: 0.9989
Validation Loss: 1.8140, Validation Accuracy: 0.7667
100%|██████████| 247/247 [00:00<00:00, 250.06it/s]
Epoch 16/20:
Train Loss: 0.0036, Train Accuracy: 0.9991
Validation Loss: 1.6003, Validation Accuracy: 0.7612
100%|██████████| 247/247 [00:00<00:00, 252.45it/s]
Epoch 17/20:
Train Loss: 0.0026, Train Accuracy: 0.9991
Validation Loss: 1.7392, Validation Accuracy: 0.7652
100%|██████████| 247/247 [00:01<00:00, 242.97it/s]
Epoch 18/20:
Train Loss: 0.0038, Train Accuracy: 0.9986
Validation Loss: 1.6365, Validation Accuracy: 0.7622
100%|██████████| 247/247 [00:00<00:00, 255.37it/s]
Epoch 19/20:
Train Loss: 0.0026, Train Accuracy: 0.9990
Validation Loss: 1.6332, Validation Accuracy: 0.7586
100%|██████████| 247/247 [00:00<00:00, 263.38it/s]
Epoch 20/20:
Train Loss: 0.0032, Train Accuracy: 0.9989
Validation Loss: 1.4980, Validation Accuracy: 0.7546
모델 로드 및 평가
# 모델 로드 model.load_state_dict(torch.load( 'best_model_checkpoint.pth' ))
# 모델을 device에 올립니다. model.to(device) TextClassifier(
(embedding): Embedding(10878, 100)
(lstm): LSTM(100, 128, batch_first=True)
(fc): Linear(in_features=128, out_features=2, bias=True)
)
# 검증 데이터에 대한 정확도와 손실 계산 val_loss, val_accuracy = evaluate(model, valid_dataloader, criterion, device)
print ( f 'Best model validation loss: { val_loss :.4f } ' ) print ( f 'Best model validation accuracy: { val_accuracy :.4f } ' ) Best model validation loss: 1.0336
Best model validation accuracy: 0.7465