뉴욕타임즈 뉴스 기사 중 헤드라인을 읽어 텍스트 생성 연습(LSTM)

 

 

# 뉴욕타임즈 뉴스 기사 중 헤드라인을 읽어 텍스트 생성 연습
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/pykwon/python/master/testdata_utf8/articlesapril.csv')
# print(df.head(1))
print(df.columns, len(df.columns))
print()
print(df['headline'].head(2))
print()
print(df.headline.values)
print(df['headline'].isnull().values.any()) # False

headline = []
headline.extend(list(df.headline.values))
print(headline[:10])
print(len(headline)) # 1324

# 'Unknown'(noise) 자료 제거
headline = [n for n in headline if n != 'Unknown']
print(headline[:10])
print(len(headline)) # 1214

# ascii 코드 문자, 구두점 제거, 단어 소문자화
from string import punctuation

# print('He하이llo 가a나다.'.encode('ascii', errors='ignore').decode()) # 영어만 출력
# print(' pytion.'.strip(punctuation))
# print(' pytion.'.strip(punctuation + ' '))
def replace_func(s):
    s = s.encode('utf8').decode('ascii', 'ignore') # ascii 코드로 변환 시 ascii 코드를 지원하지 않으면 제외 시킨다.
    return ''.join(c for c in s if c not in punctuation).lower() # 구두점 제거, 단어 소문자화

sss = ['abc123, 하하GOOD']
print([replace_func(x) for x in sss])

text = [replace_func(x) for x in headline]
print(text[:5])
# 'Former N.F.L. Cheerleaders’ Settlement Offer: $1 and a Meeting With Goodell'
# 'former nfl cheerleaders settlement offer 1 and a meeting with goodell'

# vocabulary
from keras.preprocessing.text import Tokenizer

tok = Tokenizer()
tok.fit_on_texts(text) # list가 들어와야 된다.(위에서 list 타입으로 해 놓음)
vocab_size = len(tok.word_index) + 1
print('vocab_size :', vocab_size) # 3494

sequences = list()
for line in text:
    enc = tok.texts_to_sequences([line])[0] # 각 샘플에 대한 인덱싱 처리(정수 인코딩)
    for i in range(1, len(enc)):
        se = enc[:i + 1]
        sequences.append(se)
        
# print(sequences) # [[99, 269], [99, 269, 371], [99, 269, 371, 1115], ...
print(tok.word_index) # {'the': 1, 'a': 2, 'to': 3, 'of': 4, 'in': 5, 'for': 6, ...
print(sequences[:11])
# 'former nfl cheerleaders settlement offer 1 and a meeting with goodell'
# [[99, 269], [99, 269, 371], [99, 269, 371, 1115], ...

print('dict items :', tok.word_index.items()) # [('the', 1), ('a', 2), ('to', 3), ... ==> {1:'the', 2:'a', ...}이렇게 만들기
index_to_word = {}
for key, value in tok.word_index.items():
    # print('key :', key)
    # print('value :', value)
    index_to_word[value] = key
    
print(index_to_word[100])

max_len = max(len(i) for i in sequences)
print('max_len :', max_len) # 24

from keras.utils import pad_sequences
psequences = pad_sequences(sequences, maxlen=max_len, padding='pre')
print(psequences[:3])

import numpy as np
psequences = np.array(psequences)
x = psequences[:, :-1] # feature
y = psequences[:, -1]  # label

print(x[:3])
print(y[:3])

from keras.utils import to_categorical
y = to_categorical(y, num_classes=vocab_size)
print(y[:1])

# model
from keras.models import Sequential
from keras.layers import Embedding, Flatten, Dense, LSTM

model = Sequential()
model.add(Embedding(vocab_size, 32, input_length=max_len - 1))
model.add(LSTM(128, activation='tanh'))
model.add(Flatten())
model.add(Dense(128, activation='relu'))
model.add(Dense(64, activation='relu'))
model.add(Dense(vocab_size, activation='softmax'))
print(model.summary())

model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
model.fit(x, y, epochs=200, verbose=0)
print('model evaluate :', model.evaluate(x, y))

# 문자열 생성 함수
def seq_gen_text_func(model, t, current_word, n):
    init_word = current_word # 처음 들어온 단어도 마지막 함께 출력할 계획
    sentence = ''
    for _ in range(n):
        encoded = t.texts_to_sequences([current_word])[0]
        encoded = pad_sequences([encoded], maxlen=max_len - 1, padding='pre')
        result = np.argmax(model.predict(encoded, verbose=0), axis = -1)
        # 예측 단어 찾기
        for word, index in t.word_index.items():
            # print(word, ' :', index)
            if index == result: # 예측한 단어, 그리고 인덱스와 동일한 단어가 있다면 해당 단어는 예측단어 이므로 break 
                break
        current_word = current_word + ' ' + word
        sentence = sentence + ' ' + word
    sentence = init_word + sentence
    return sentence

print(seq_gen_text_func(model, tok, 'defense', 10))
print(seq_gen_text_func(model, tok, 'tuesday', 10))
print(seq_gen_text_func(model, tok, 'beginning', 10))


<console>
Index(['articleID', 'articleWordCount', 'byline', 'documentType', 'headline',
       'keywords', 'multimedia', 'newDesk', 'printPage', 'pubDate',
       'sectionName', 'snippet', 'source', 'typeOfMaterial', 'webURL'],
      dtype='object') 15

0    Former N.F.L. Cheerleaders’ Settlement Offer: ...
1    E.P.A. to Unveil a New Rule. Its Effect: Less ...
Name: headline, dtype: object

['Former N.F.L. Cheerleaders’ Settlement Offer: $1 and a Meeting With Goodell'
 'E.P.A. to Unveil a New Rule. Its Effect: Less Science in Policymaking.'
 'The New Noma, Explained' ...
 'Gen. Michael Hayden Has One Regret: Russia'
 'There Is Nothin’ Like a Tune' 'Unknown']
False
['Former N.F.L. Cheerleaders’ Settlement Offer: $1 and a Meeting With Goodell', 'E.P.A. to Unveil a New Rule. Its Effect: Less Science in Policymaking.', 'The New Noma, Explained', 'Unknown', 'Unknown', 'Unknown', 'Unknown', 'Unknown', 'How a Bag of Texas Dirt  Became a Times Tradition', 'Is School a Place for Self-Expression?']
1324
['Former N.F.L. Cheerleaders’ Settlement Offer: $1 and a Meeting With Goodell', 'E.P.A. to Unveil a New Rule. Its Effect: Less Science in Policymaking.', 'The New Noma, Explained', 'How a Bag of Texas Dirt  Became a Times Tradition', 'Is School a Place for Self-Expression?', 'Commuter Reprogramming', 'Ford Changed Leaders, Looking for a Lift. It’s Still Looking.', 'Romney Failed to Win at Utah Convention, But Few Believe He’s Doomed', 'Chain Reaction', 'He Forced the Vatican to Investigate Sex Abuse. Now He’s Meeting With Pope Francis.']
1214
['abc123 good']
['former nfl cheerleaders settlement offer 1 and a meeting with goodell', 'epa to unveil a new rule its effect less science in policymaking', 'the new noma explained', 'how a bag of texas dirt  became a times tradition', 'is school a place for selfexpression']

{'the': 1, 'a': 2, 'to': 3, 'of': 4, 'in': 5, 'for': 6, 'and': 7, 'is': 8, 'on': 9, 'with': 10, 'trump': 11, 'as': 12, 'at': 13, 'new': 14, 'how': 15, 'from': 16, 'it': 17, 'an': 18, 'that': 19, 'be': 20, 'season': 21, 'us': 22, 'you': 23, 'its': 24, 'what': 25, 'episode': 26, 'can': 27, 'your': 28, 'not': 29, 'he': 30, 'now': 31, 'his': 32, 'are': 33, 'teaching': 34, 'war': 35, 'out': 36, 'no': 37, 'was': 38, 'by': 39, 'trumps': 40, 'has': 41, 'over': 42, 'may': 43, 'into': 44, 'why': 45, 'more': 46, 'we': 47, 'who': 48, 'about': 49, 'recap': 50, 'activities': 51, '1': 52, 'just': 53, 'do': 54, 'women': 55, 'when': 56, 'syria': 57, 'trade': 58, 'i': 59, '2': 60, 'or': 61, 'will': 62, 'this': 63, 'have': 64, 'president': 65, 'but': 66, 'home': 67, 'up': 68, 'long': 69, 'one': 70, 'off': 71, 'facebook': 72, 'house': 73, 'gop': 74, 'our': 75, 'case': 76, 'they': 77, 'life': 78, 'end': 79, 'right': 80, 'some': 81, 'big': 82, 'dead': 83, 'power': 84, 'say': 85, 'white': 86, 'after': 87, 'still': 88, 'north': 89, 'my': 90, 'dont': 91, 'need': 92, 'race': 93, 'own': 94, 'against': 95, 'here': 96, 'should': 97, 'border': 98, 'former': 99, 'epa': 100, 'battle': 101, 'mr': 102, 'too': 103, 'their': 104, 'plan': 105, '3': 106, 'china': 107, 'real': 108, 'were': 109, 'her': 110, 'russia': 111, 'art': 112, 'good': 113, 'then': 114, 'like': 115, 'pay': 116, 'back': 117, 'get': 118, 'love': 119, 'says': 120, 'officials': 121, 'fight': 122, 'tariffs': 123, 'pruitt': 124, 'democrats': 125, 'black': 126, 'man': 127, 'men': 128, 'help': 129, 'never': 130, 'york': 131, 'comey': 132, 'chief': 133, 'metoo': 134, 'work': 135, 'place': 136, 'could': 137, 'past': 138, 'years': 139, 'rights': 140, 'first': 141, 'money': 142, 'save': 143, 'going': 144, 'all': 145, 'way': 146, 'political': 147, 'fear': 148, 'next': 149, 'fire': 150, 'party': 151, 'me': 152, 'becomes': 153, '8': 154, 'better': 155, 'old': 156, 'dr': 157, 'king': 158, 'homes': 159, 'ryan': 160, 'tax': 161, 'if': 162, 'than': 163, 'americans': 164, 'rules': 165, 'police': 166, 'school': 167, 'leaders': 168, 'korea': 169, 'there': 170, 'top': 171, 'court': 172, 'state': 173, '10': 174, 'lower': 175, 'states': 176, 'whats': 177, 'use': 178, 'cancer': 179, 'britain': 180, 'wont': 181, 'time': 182, 'america': 183, 'history': 184, 'where': 185, 'lead': 186, 'left': 187, 'plans': 188, 'talk': 189, 'crisis': 190, 'two': 191, 'tells': 192, 'trust': 193, 'nuclear': 194, 'children': 195, 'million': 196, 'make': 197, 'leader': 198, 'others': 199, 'attack': 200, 'people': 201, 'another': 202, '6': 203, 'world': 204, 'day': 205, 'car': 206, 'young': 207, 'little': 208, 'california': 209, 'crash': 210, 'last': 211, 'book': 212, 'death': 213, 'gun': 214, 'texas': 215, 'hes': 216, 'sex': 217, 'abuse': 218, 'find': 219, 'truth': 220, 'arizona': 221, 'american': 222, 'pompeo': 223, 'change': 224, 'city': 225, 'kim': 226, 'so': 227, 'music': 228, 'risks': 229, 'being': 230, 'billions': 231, '5': 232, 'family': 233, 'missing': 234, 'gaza': 235, 'vs': 236, 'senate': 237, 'heart': 238, 'justice': 239, 'killing': 240, 'cia': 241, 'come': 242, 'shows': 243, 'turning': 244, 'schools': 245, 'parents': 246, 'law': 247, 'legal': 248, 'economy': 249, 'strike': 250, 'him': 251, 'threat': 252, 'before': 253, 'takes': 254, 'night': 255, 'mueller': 256, 'close': 257, 'cut': 258, 'dream': 259, 'face': 260, 'friends': 261, 'does': 262, 'game': 263, 'dear': 264, 'boss': 265, 'baby': 266, 'kings': 267, 'jail': 268, 'nfl': 269, 'jimmy': 270, 'word': 271, 'hot': 272, 'turns': 273, 'gap': 274, 'got': 275, 'hope': 276, 'making': 277, 'overlooked': 278, 'push': 279, 'high': 280, 'deal': 281, 'heck': 282, 'live': 283, 'families': 284, 'wrong': 285, '2018': 286, 'fix': 287, 'lawyers': 288, 'koreas': 289, 'choose': 290, 'public': 291, 'cuomo': 292, 'steel': 293, 'open': 294, 'scott': 295, 'beyond': 296, 'variety': 297, 'ethics': 298, 'files': 299, 'dept': 300, 'let': 301, 'inside': 302, 'director': 303, 'far': 304, 'side': 305, 'rupauls': 306, 'drag': 307, 'fence': 308, 'sanctions': 309, 'want': 310, 'global': 311, 'great': 312, 'fish': 313, 'market': 314, 'team': 315, 'eat': 316, 'problem': 317, 'miracle': 318, 'tied': 319, 'hours': 320, 'working': 321, 'other': 322, 'yet': 323, 'call': 324, 'allies': 325, 'privacy': 326, 'data': 327, 'experts': 328, 'go': 329, 'met': 330, 'brooklyn': 331, 'didnt': 332, 'russian': 333, 'trial': 334, 'apply': 335, 'college': 336, 'many': 337, '4': 338, 'security': 339, 'year': 340, 'tale': 341, 'social': 342, 'control': 343, 'been': 344, 'hit': 345, 'early': 346, 'behind': 347, 'match': 348, 'ok': 349, 'fears': 350, 'isis': 351, 'walking': 352, 'national': 353, 'presidency': 354, 'student': 355, 'second': 356, 'limits': 357, 'care': 358, 'era': 359, 'south': 360, 'guard': 361, 'rise': 362, 'edge': 363, 'hero': 364, 'tech': 365, 'secret': 366, 'storm': 367, 'gets': 368, 'watch': 369, 'weapons': 370, 'cheerleaders': 371, 'meeting': 372, 'less': 373, 'science': 374, 'dirt': 375, 'times': 376, 'looking': 377, 'win': 378, 'pope': 379, 'stuff': 380, 'wants': 381, 'ruling': 382, 'town': 383, 'cold': 384, 'behavior': 385, 'guns': 386, 'stand': 387, 'human': 388, 'economic': 389, 'tragedy': 390, 'paul': 391, 'them': 392, 'key': 393, 'down': 394, 'given': 395, 'urge': 396, 'kids': 397, 'westworld': 398, 'picture': 399, 'april': 400, '23': 401, 'subway': 402, 'lets': 403, 'impeachment': 404, 'feel': 405, 'told': 406, 'smile': 407, 'meet': 408, 'wild': 409, 'guide': 410, 'business': 411, 'republicans': 412, 'starbucks': 413, 'door': 414, 'heres': 415, 'punch': 416, 'air': 417, 'caution': 418, 'democratic': 419, 'seen': 420, 'west': 421, 'once': 422, 'marriage': 423, 'politics': 424, 'mission': 425, 'support': 426, 'extra': 427, 'stephen': 428, 'colbert': 429, 'doesnt': 430, 'marijuana': 431, 'reading': 432, 'flight': 433, 'navy': 434, 'veteran': 435, 'ban': 436, 'atlanta': 437, 'finally': 438, 'ready': 439, 'todays': 440, 'puzzle': 441, 'deputy': 442, 'gave': 443, 'teenagers': 444, 'training': 445, 'cant': 446, 'remember': 447, '36': 448, 'found': 449, 'look': 450, 'scientists': 451, 'drug': 452, 'start': 453, 'fit': 454, 'syrian': 455, 'israel': 456, 'bush': 457, 'tweets': 458, 'calling': 459, 'genius': 460, 'acrostic': 461, 'strikes': 462, 'americas': 463, 'pregnancy': 464, 'step': 465, 'washington': 466, 'body': 467, 'supreme': 468, 'best': 469, 'run': 470, 'late': 471, 'force': 472, 'france': 473, 'said': 474, 'raid': 475, 'report': 476, 'aide': 477, 'try': 478, 'line': 479, 'loss': 480, 'risk': 481, 'ask': 482, 'trevor': 483, 'noah': 484, 'become': 485, 'affair': 486, 'died': 487, 'travel': 488, 'pollution': 489, 'building': 490, 'details': 491, 'mike': 492, 'immigration': 493, 'much': 494, 'words': 495, 'press': 496, 'energy': 497, 'think': 498, 'kitchen': 499, 'teams': 500, 'roseanne': 501, 'matter': 502, 'warm': 503, 'cohen': 504, 'eye': 505, 'wait': 506, 'seized': 507, 'civil': 508, 'brain': 509, 'die': 510, 'bad': 511, 'island': 512, 'target': 513, 'michael': 514, 'complicated': 515, 'under': 516, 'test': 517, 'did': 518, 'talks': 519, 'put': 520, 'questions': 521, 'dies': 522, 'moves': 523, '15': 524, 'lives': 525, 'james': 526, 'gives': 527, 'warriors': 528, 'mainstream': 529, 'saudi': 530, 'loan': 531, 'puts': 532, 'star': 533, 'broken': 534, 'glass': 535, 'moments': 536, 'sick': 537, 'beat': 538, 'god': 539, 'mean': 540, 'spy': 541, 'immigrants': 542, 'kill': 543, 'shame': 544, 'maybe': 545, 'even': 546, 'land': 547, '14': 548, 'policy': 549, 'agent': 550, 'smart': 551, 'martin': 552, 'luther': 553, 'mind': 554, 'earth': 555, 'action': 556, 'iraq': 557, 'feeling': 558, 'nature': 559, 'church': 560, 'beware': 561, 'away': 562, 'point': 563, 'army': 564, 'va': 565, 'girls': 566, 'play': 567, 'made': 568, 'marathon': 569, 'lies': 570, 'turn': 571, 'fiction': 572, 'terror': 573, 'accept': 574, 'dying': 575, 'victims': 576, 'golden': 577, 'common': 578, 'near': 579, 'cosby': 580, 'revolt': 581, 'offer': 582, 'rule': 583, 'bag': 584, 'tradition': 585, 'failed': 586, 'utah': 587, 'few': 588, 'believe': 589, 'forced': 590, 'artists': 591, 'carter': 592, 'jersey': 593, 'quiz': 594, 'lifethreatening': 595, 'food': 596, 'choosing': 597, 'future': 598, 'gone': 599, 'panel': 600, 'bucks': 601, 'sidewalk': 602, 'van': 603, 'cuts': 604, 'apologies': 605, 'europes': 606, 'iran': 607, 'themselves': 608, 'avengers': 609, 'most': 610, 'movie': 611, 'taking': 612, 'mirror': 613, 'chancellor': 614, 'debate': 615, 'foods': 616, 'citys': 617, 'favorite': 618, 'cruelty': 619, 'robots': 620, 'coffee': 621, 'prince': 622, 'share': 623, 'tolerance': 624, 'stop': 625, 'migrants': 626, 'path': 627, 'aiding': 628, 'europe': 629, 'magic': 630, 'kind': 631, 'losing': 632, 'middle': 633, 'class': 634, 'youll': 635, 'sorry': 636, 'swamp': 637, 'columbia': 638, 'wages': 639, 'painfully': 640, 'wonkish': 641, 'forgotten': 642, 'survival': 643, 'decline': 644, 'mess': 645, 'fake': 646, 'set': 647, 'himself': 648, 'barely': 649, 'quit': 650, '70': 651, 'conspiracy': 652, 'pick': 653, 'wells': 654, 'fargo': 655, 'mayhem': 656, 'fields': 657, '50': 658, 'lack': 659, 'cynthia': 660, 'nixon': 661, 'along': 662, 'promise': 663, 'testing': 664, 'candidates': 665, 'pruitts': 666, 'reforms': 667, 'selling': 668, 'know': 669, 'runners': 670, 'tarot': 671, 'card': 672, 'dress': 673, 'pilot': 674, 'nerves': 675, 'letting': 676, 'al': 677, 'equal': 678, 'returns': 679, 'snake': 680, 'oil': 681, 'betrayed': 682, 'nation': 683, 'fashion': 684, 'lay': 685, 'fine': 686, 'fraud': 687, 'again': 688, 'exfbi': 689, 'sent': 690, 'name': 691, 'sea': 692, 'stands': 693, 'spur': 694, 'means': 695, 'progressive': 696, 'standardized': 697, 'tests': 698, 'antibias': 699, 'goal': 700, 'gentrification': 701, 'shine': 702, 'road': 703, 'deportation': 704, 'voice': 705, 'crazy': 706, 'warming': 707, 'interview': 708, 'launches': 709, 'allout': 710, 'barbara': 711, 'ill': 712, 'treatment': 713, 'blasts': 714, 'slippery': 715, 'around': 716, 'office': 717, 'todo': 718, 'list': 719, 'housing': 720, 'leaves': 721, 'pinch': 722, 'took': 723, 'assad': 724, 'library': 725, 'payment': 726, 'snarl': 727, 'makes': 728, '87': 729, 'comedy': 730, 'rising': 731, 'stars': 732, 'alike': 733, 'coal': 734, 'lobbyist': 735, 'crossword': 736, 'animals': 737, 'whos': 738, 'pentagon': 739, 'signs': 740, 'childhood': 741, 'courts': 742, 'shift': 743, 'saying': 744, 'scandal': 745, 'sticker': 746, 'shock': 747, 'teacher': 748, 'walkouts': 749, 'grip': 750, 'red': 751, 'speaker': 752, 'leave': 753, 'british': 754, 'mexico': 755, 'wish': 756, 'alive': 757, 'longer': 758, 'moscow': 759, 'believes': 760, 'beef': 761, 'stew': 762, 'chinese': 763, 'partner': 764, 'tabloid': 765, 'catches': 766, 'facebooks': 767, 'lot': 768, 'health': 769, 'putin': 770, 'india': 771, 'these': 772, 'begin': 773, 'protest': 774, 'florida': 775, 'colorado': 776, 'thats': 777, 'hopes': 778, 'access': 779, 'hollywood': 780, 'tape': 781, 'focus': 782, 'fbi': 783, 'general': 784, 'leak': 785, 'spring': 786, 'gut': 787, 'advice': 788, 'risotto': 789, 'simple': 790, 'during': 791, 'week': 792, 'ball': 793, 'gluten': 794, 'free': 795, 'seattle': 796, 'exhusband': 797, 'dilemma': 798, 'betting': 799, 'governors': 800, 'collector': 801, 'thriving': 802, 'modern': 803, 'count': 804, 'thousands': 805, 'interest': 806, 'alaska': 807, 'republican': 808, 'midterm': 809, 'elections': 810, 'pose': 811, 'worry': 812, 'view': 813, 'fascism': 814, 'without': 815, 'spending': 816, 'signals': 817, 'boys': 818, 'learning': 819, 'move': 820, 'fast': 821, 'governor': 822, 'those': 823, 'aging': 824, 'warns': 825, 'media': 826, 'exercise': 827, 'allergic': 828, 'signatures': 829, 'military': 830, 'disaster': 831, 'embrace': 832, 'youre': 833, 'defying': 834, 'toll': 835, 'humans': 836, 'store': 837, 'dogs': 838, 'client': 839, 'reports': 840, 'fired': 841, 'coming': 842, 'lavish': 843, 'zone': 844, 'called': 845, 'options': 846, 'paid': 847, 'ice': 848, 'adviser': 849, 'calls': 850, 'polar': 851, 'bears': 852, 'online': 853, 'bust': 854, 'bars': 855, 'private': 856, 'fans': 857, 'remains': 858, 'funny': 859, 'daughter': 860, 'offered': 861, 'massacre': 862, 'prison': 863, 'votes': 864, 'very': 865, 'outsiders': 866, 'gender': 867, 'scrutiny': 868, 'trail': 869, 'nightmare': 870, 'species': 871, 'fuels': 872, 'jacket': 873, 'hair': 874, '81': 875, 'foreign': 876, '9': 877, 'arabian': 878, 'official': 879, 'afghan': 880, 'enters': 881, 'journalism': 882, 'later': 883, 'cry': 884, 'vows': 885, 'price': 886, 'raising': 887, 'song': 888, 'gallery': 889, 'hockey': 890, 'fox': 891, 'fiery': 892, 'chemical': 893, 'hasty': 894, 'viral': 895, 'voters': 896, 'arlee': 897, 'arent': 898, 'friday': 899, 'something': 900, 'every': 901, 'buying': 902, 'ad': 903, 'asparagus': 904, 'blame': 905, 'democracy': 906, 'bracing': 907, 'blood': 908, 'estate': 909, 'jobs': 910, 'raised': 911, 'islam': 912, 'yorks': 913, 'give': 914, 'blast': 915, 'small': 916, 'forces': 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'failures': 1879, 'antitrumpism': 1880, 'bannon': 1881, 'beliefs': 1882, 'parent': 1883, 'allay': 1884, '911': 1885, 'born': 1886, 'zuckerberg': 1887, 'center': 1888, 'reshape': 1889, 'tokens': 1890, 'please': 1891, 'widens': 1892, 'onenight': 1893, 'temptation': 1894, 'handlers': 1895, 'leeches': 1896, 'trackers': 1897, 'poised': 1898, 'balloon': 1899, 'trillion': 1900, 'deficit': 1901, 'grilling': 1902, 'tie': 1903, 'shirt': 1904, 'mets': 1905, 'excited': 1906, 'authentic': 1907, 'retaliation': 1908, 'abou': 1909, 'sizzle': 1910, 'grill': 1911, 'tense': 1912, 'fossilized': 1913, 'finger': 1914, 'bone': 1915, 'earliest': 1916, 'peninsula': 1917, 'advisers': 1918, 'head': 1919, 'actions': 1920, 'commander': 1921, 'returning': 1922, 'battleground': 1923, '20': 1924, 'rallying': 1925, 'reactions': 1926, 'shingles': 1927, 'vaccine': 1928, 'reasons': 1929, 'masked': 1930, 'wrestling': 1931, 'priest': 1932, 'prospect': 1933, 'missile': 1934, 'hub': 1935, 'contemplation': 1936, 'challenge': 1937, 'books': 1938, 'teach': 1939, 'management': 1940, 'cleaning': 1941, 'wit': 1942, 'tina': 1943, 'fey': 1944, 'splintered': 1945, 'hearts': 1946, 'horror': 1947, 'governed': 1948, 'amp': 1949, 'powderkeg': 1950, 'bon': 1951, 'vivant': 1952, 'tower': 1953, 'couldnt': 1954, 'sell': 1955, 'affected': 1956, 'users': 1957, 'carnage': 1958, 'muddles': 1959, 'exit': 1960, 'sweeping': 1961, 'election': 1962, 'victory': 1963, 'hungarys': 1964, 'ruler': 1965, 'constitution': 1966, 'antioch': 1967, 'initials': 1968, 'stroller': 1969, 'scrawls': 1970, 'credit': 1971, 'trusts': 1972, 'complain': 1973, 'triple': 1974, 'spoonerisms': 1975, 'murky': 1976, 'perils': 1977, 'quitting': 1978, 'antidepressants': 1979, 'landlord': 1980, 'refund': 1981, 'fee': 1982, 'amenities': 1983, 'available': 1984, 'renegades': 1985, 'sri': 1986, 'lanka': 1987, 'bombast': 1988, 'samantha': 1989, 'germs': 1990, 'diet': 1991, 'soda': 1992, 'dvd': 1993, 'staff': 1994, 'advised': 1995, 'resistant': 1996, 'epas': 1997, 'current': 1998, 'tb': 1999, 'insufficient': 2000, 'princes': 2001, 'tour': 2002, 'murdoch': 2003, 'gates': 2004, 'oprah': 2005, 'anonymous': 2006, 'earned': 2007, 'divine': 2008, 'status': 2009, 'frustrated': 2010, 'yorkers': 2011, 'catering': 2012, 'fliers': 2013, '30000': 2014, 'feet': 2015, 'enemy': 2016, 'cecil': 2017, 'taylor': 2018, 'pianist': 2019, 'defied': 2020, 'jazz': 2021, 'orthodoxy': 2022, '89': 2023, 'pressure': 2024, 'miscarriage': 2025, 'dynasty': 2026, 'passing': 2027, 'torch': 2028, 'disappointing': 2029, 'alarms': 2030, 'nominees': 2031, 'views': 2032, '80s': 2033, 'kors': 2034, 'dismantle': 2035, 'obamas': 2036, 'hatewatching': 2037, 'hgtv': 2038, 'putins': 2039, 'inner': 2040, 'circle': 2041, 'gendered': 2042, 'emasculator': 2043, 'until': 2044, 'arrived': 2045, 'chappaquiddick': 2046, 'theory': 2047, 'march': 2048, 'structure': 2049, 'denies': 2050, 'knowledge': 2051, 'porn': 2052, 'flail': 2053, 'concerns': 2054, 'ousted': 2055, 'script': 2056, 'restaurateur': 2057, 'starr': 2058, 'keith': 2059, 'mcnally': 2060, 'reopen': 2061, 'pastis': 2062, 'liberal': 2063, 'nirvana': 2064, 'sometimes': 2065, 'room': 2066, 'protecting': 2067, 'outposts': 2068, 'pulling': 2069, 'lawn': 2070, 'chairs': 2071, 'someones': 2072, 'prom': 2073, 'include': 2074, 'squeezes': 2075, 'restaurants': 2076, 'growing': 2077, 'threatens': 2078, 'aides': 2079, 'exits': 2080, 'confident': 2081, 'buzz': 2082, 'v': 2083, 'sale': 2084, 'harder': 2085, 'disabilities': 2086, 'contract': 2087, 'authoritarianism': 2088, 'driven': 2089, 'elevator': 2090, 'oh': 2091, 'accuse': 2092, 'architect': 2093, 'finding': 2094, 'decent': 2095, 'wades': 2096, 'deeper': 2097, 'detainee': 2098, 'operations': 2099, 'kurds': 2100, 'recovery': 2101, 'weakness': 2102, 'strength': 2103, 'commerce': 2104, 'murkowski': 2105, 'mastered': 2106, 'myerss': 2107, 'fallon': 2108, 'homework': 2109, 'therapist': 2110, 'japans': 2111, 'popular': 2112, 'bathing': 2113, 'temple': 2114, 'elephants': 2115, 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'withdrawal': 2233, 'google': 2234, 'internal': 2235, 'robert': 2236, 'f': 2237, 'indianapolis': 2238, 'crowd': 2239, 'profile': 2240, 'breach': 2241, 'brink': 2242, 'officially': 2243, 'guy': 2244, 'cue': 2245, 'jitters': 2246, 'wars': 2247, 'stranded': 2248, 'assets': 2249, 'stock': 2250, 'googoosha': 2251, 'cherished': 2252, 'uzbek': 2253, 'between': 2254, 'grows': 2255, 'stained': 2256, 'cathedral': 2257, '700000': 2258, 'pennsylvania': 2259, 'michigan': 2260, '7year': 2261, 'schism': 2262, 'bananas': 2263, 'outwork': 2264, 'drinks': 2265, 'mysterious': 2266, 'illness': 2267, 'avoid': 2268, 'boomers': 2269, 'kimmel': 2270, 'understand': 2271, 'attacks': 2272, 'historic': 2273, 'questionable': 2274, 'moniker': 2275, 'playing': 2276, 'remembered': 2277, 'rest': 2278, 'plants': 2279, 'baffled': 2280, 'guiding': 2281, 'hand': 2282, 'algebra': 2283, 'anne': 2284, 'wojcicki': 2285, 'healthy': 2286, 'mines': 2287, 'balkans': 2288, '12': 2289, 'had': 2290, 'rude': 2291, 'hungary': 2292, 'mirage': 2293, 'cheesy': 2294, 'crime': 2295, 'punishment': 2296, 'firms': 2297, 'shudder': 2298, 'reverts': 2299, 'spotlight': 2300, 'shines': 2301, 'rollbacks': 2302, 'argument': 2303, 'inclusion': 2304, 'riders': 2305, 'perversion': 2306, 'leadership': 2307, 'upstairs': 2308, 'youtubes': 2309, 'offices': 2310, 'rattles': 2311, 'honor': 2312, 'churches': 2313, 'mourning': 2314, 'beacon': 2315, 'harlem': 2316, 'five': 2317, 'attorneys': 2318, 'sisters': 2319, 'norway': 2320, 'lived': 2321, 'sidewalks': 2322, 'included': 2323, 'turf': 2324, 'interprets': 2325, 'pushed': 2326, 'johnny': 2327, 'cashs': 2328, 'poems': 2329, 'songs': 2330, 'oaxaca': 2331, 'gowanus': 2332, 'jrs': 2333, 'according': 2334, 'politically': 2335, 'faith': 2336, 'scene': 2337, 'uncovers': 2338, 'casual': 2339, 'horrors': 2340, 'foresees': 2341, 'securing': 2342, 'championship': 2343, 'hooked': 2344, 'vitamins': 2345, 'standin': 2346, 'standout': 2347, 'villanova': 2348, 'proclaims': 2349, 'awareness': 2350, 'month': 2351, 'thinks': 2352, 'bedford': 2353, 'son': 2354, 'pairs': 2355, 'mixing': 2356, 'pleasure': 2357, 'hurricanedamaged': 2358, 'islands': 2359, 'ancient': 2360, 'cloud': 2361, 'girlfriend': 2362, 'awful': 2363, 'warned': 2364, 'booksellers': 2365, 'doctor': 2366, 'grapple': 2367, 'epidemic': 2368, 'cost': 2369, 'siege': 2370, 'comfort': 2371, 'write': 2372, 'vape': 2373, 'supermans': 2374, 'alien': 2375, 'influential': 2376, 'voter': 2377, 'suppressions': 2378, 'reliving': 2379, 'button': 2380, 'industry': 2381, 'register': 2382, 'autocrats': 2383, 'playbook': 2384, 'trumpland': 2385, 'bruising': 2386, 'battles': 2387, 'condo': 2388, 'green': 2389, 'unclog': 2390, '2001': 2391, 'patrol': 2392, 'ear': 2393, 'matzo': 2394, 'birds': 2395, 'super': 2396, 'nova': 2397, 'antibiotics': 2398, 'antacids': 2399, 'allergies': 2400, 'escort': 2401, 'coach': 2402, 'held': 2403, 'thailand': 2404, 'secrets': 2405, 'divisive': 2406, 'oratory': 2407, 'daily': 2408, 'spellbound': 2409, 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2467, 'fighting': 2468, 'chores': 2469, 'spend': 2470, 'telling': 2471, 'defectors': 2472, 'puff': 2473, 'vaping': 2474, 'floods': 2475, 'stomach': 2476, 'duties': 2477, '128': 2478, 'products': 2479, 'resurrection': 2480, 'eager': 2481, 'refugees': 2482, 'courted': 2483, 'rhythms': 2484, 'melting': 2485, 'dismantling': 2486, 'lastsecond': 2487, 'subject': 2488, 'refuses': 2489, 'poisoned': 2490, 'knob': 2491, 'hints': 2492, 'highlevel': 2493, 'farm': 2494, 'techs': 2495, 'blockchain': 2496, 'intertwined': 2497, 'services': 2498, 'boycotts': 2499, 'wallace': 2500, 'tapped': 2501, 'racial': 2502, 'potent': 2503, 'capital': 2504, 'hollywoods': 2505, 'envoy': 2506, 'schooled': 2507, 'diplomacy': 2508, 'muppets': 2509, 'turk': 2510, 'caught': 2511, 'moment': 2512, 'backfired': 2513, 'kushners': 2514, 'spiro': 2515, 'agnew': 2516, 'father': 2517, 'disdain': 2518, 'javanka': 2519, 'klossy': 2520, 'posse': 2521, 'jordan': 2522, 'peterson': 2523, 'gods': 2524, 'spokeswomen': 2525, 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2642, 'setbacks': 2643, 'scary': 2644, 'jacksons': 2645, 'disturbing': 2646, 'independence': 2647, 'praise': 2648, 'suggests': 2649, 'might': 2650, 'delay': 2651, 'coup': 2652, 'veterans': 2653, 'affairs': 2654, 'martha': 2655, 'automakers': 2656, 'x': 2657, 'activism': 2658, 'oral': 2659, 'streaming': 2660, 'frog': 2661, 'rebound': 2662, 'southern': 2663, 'exposure': 2664, 'quick': 2665, 'divorce': 2666, '60': 2667, 'denmark': 2668, 'deepens': 2669, 'caribbean': 2670, 'savor': 2671, 'australian': 2672, 'bounty': 2673, 'ideal': 2674, 'opinion': 2675, '68': 2676, 'bereaved': 2677, 'topics': 2678, 'using': 2679, 'column': 2680, 'tackle': 2681, 'toward': 2682, 'dirty': 2683, 'grandfathers': 2684, 'passes': 2685, 'freerange': 2686, 'luster': 2687, 'await': 2688, 'labour': 2689, 'wrestles': 2690, 'antisemitism': 2691, 'prevent': 2692, 'hoodie': 2693, 'stage': 2694, 'sweating': 2695, 'birth': 2696, 'honey': 2697, 'pot': 2698, 'satan': 2699, 'type': 2700, 'disappeared': 2701, 'statues': 2702, 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3106), ('trusting', 3107), ('jokes', 3108), ('theres', 3109), ('adults', 3110), ('souths', 3111), ('candid', 3112), ('audio', 3113), ('rapidly', 3114), ('disappearing', 3115), ('inheritance', 3116), ('hello', 3117), ('higher', 3118), ('kisses', 3119), ('french', 3120), ('critiques', 3121), ('policies', 3122), ('tracks', 3123), ('hormone', 3124), ('hurdle', 3125), ('deny', 3126), ('dignity', 3127), ('citizens', 3128), ('relievers', 3129), ('opioids', 3130), ('dental', 3131), ('relief', 3132), ('swindled', 3133), ('marks', 3134), ('sheryls', 3135), ('handmaids', 3136), ('episodes', 3137), ('motherinlaws', 3138), ('mink', 3139), ('cruelly', 3140), ('because', 3141), ('malaysia', 3142), ('israelipalestinian', 3143), ('intrigue', 3144), ('mitt', 3145), ('weenie', 3146), ('martyr', 3147), ('sane', 3148), ('sensible', 3149), ('respect', 3150), ('answers', 3151), ('location', 3152), ('maria', 3153), ('bochkareva', 3154), ('wwi', 3155), ('breakdancing', 3156), ('artist', 3157), ('intimidated', 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3427), ('documenter', 3428), ('fortnite', 3429), ('addict', 3430), ('philosophy', 3431), ('pays', 3432), ('disappearances', 3433), ('highlight', 3434), ('militarys', 3435), ('mexicos', 3436), ('documents', 3437), ('irans', 3438), ('atomic', 3439), ('subterfuge', 3440), ('investment', 3441), ('holds', 3442), ('steady', 3443), ('q', 3444), ('hows', 3445), ('standoff', 3446), ('eases', 3447), ('allow', 3448), ('eight', 3449), ('seek', 3450), ('asylum', 3451), ('assumes', 3452), ('beauty', 3453), ('megamerger', 3454), ('tightens', 3455), ('app', 3456), ('investigation', 3457), ('couple', 3458), ('dividing', 3459), ('delaying', 3460), ('limit', 3461), ('researchers', 3462), ('sheldon', 3463), ('silver', 3464), ('retrial', 3465), ('revisits', 3466), ('gig', 3467), ('dealt', 3468), ('blow', 3469), ('cardinal', 3470), ('faces', 3471), ('charges', 3472), ('context', 3473), ('show', 3474), ('depth', 3475), ('obstacles', 3476), ('competitive', 3477), ('sport', 3478), ('rootslush', 3479), ('historical', 3480), ('rooted', 3481), ('naturenovels', 3482), ('steeped', 3483), ('historyancient', 3484), ('reimaginedjurassic', 3485), ('classics', 3486), ('question', 3487), ('reinforces', 3488), ('anna', 3489), ('llama', 3490), ('hayden', 3491), ('regret', 3492), ('nothin', 3493)])
epa
max_len : 24
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Model: "sequential"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 embedding (Embedding)       (None, 23, 32)            111808    
                                                                 
 lstm (LSTM)                 (None, 128)               82432     
                                                                 
 flatten (Flatten)           (None, 128)               0         
                                                                 
 dense (Dense)               (None, 128)               16512     
                                                                 
 dense_1 (Dense)             (None, 64)                8256      
                                                                 
 dense_2 (Dense)             (None, 3494)              227110    
                                                                 
=================================================================
Total params: 446,118
Trainable params: 446,118
Non-trainable params: 0
_________________________________________________________________
None

defense from people too other state dinner nods to traditions and
tuesday the americans season 6 episode 5 recap the end game
beginning the americans season 6 episode 5 recap the end game

영어의 경우에는 한글과 달리 형태소 분석을 하지 않아도 된다.