Nlp sentiment recognition
Import stardards libraires
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import json
import random
import tensorflow as tf
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# keras kit
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Embedding
from keras.layers import GlobalAveragePooling1D
from keras.optimizers import Adam
from keras.utils.np_utils import to_categorical
from keras.models import Model
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
import json
import random
import tensorflow as tf
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# keras kit
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Embedding
from keras.layers import GlobalAveragePooling1D
from keras.optimizers import Adam
from keras.utils.np_utils import to_categorical
from keras.models import Model
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
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!wget --no-check-certificate \
https://storage.googleapis.com/laurencemoroney-blog.appspot.com/sarcasm.json \
-O /tmp/sarcasm.json
!wget --no-check-certificate \
https://storage.googleapis.com/laurencemoroney-blog.appspot.com/sarcasm.json \
-O /tmp/sarcasm.json
--2021-03-17 01:45:45-- https://storage.googleapis.com/laurencemoroney-blog.appspot.com/sarcasm.json Resolving storage.googleapis.com (storage.googleapis.com)... 172.217.15.112, 142.250.73.240, 172.217.2.112, ... Connecting to storage.googleapis.com (storage.googleapis.com)|172.217.15.112|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 5643545 (5.4M) [application/json] Saving to: ‘/tmp/sarcasm.json’ /tmp/sarcasm.json 0%[ ] 0 --.-KB/s /tmp/sarcasm.json 100%[===================>] 5.38M --.-KB/s in 0.04s 2021-03-17 01:45:45 (151 MB/s) - ‘/tmp/sarcasm.json’ saved [5643545/5643545]
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# !cat /tmp/sarcasm.json
# !cat /tmp/sarcasm.json
Initialization
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# initialization
vocab_size = 10000
embedding_dim = 16
max_length = 100
trunc_type='post'
padding_type='post'
oov_tok = "<OOV>"
training_size = 20000
# initialization
vocab_size = 10000
embedding_dim = 16
max_length = 100
trunc_type='post'
padding_type='post'
oov_tok = "<OOV>"
training_size = 20000
Preprocesssing
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# preprocessing
# loading data
with open("/tmp/sarcasm.json", 'r') as f:
datastore = json.load(f)
# preparing training data
sentences = []
labels = []
urls = []
for item in datastore:
sentences.append(item['headline'])
labels.append(item['is_sarcastic'])
urls.append(item['article_link'])
# slicing training and testing data for the model
training_sentences = sentences[0:training_size]
testing_sentences = sentences[training_size:]
training_labels = labels[0:training_size]
testing_labels = labels[training_size:]
# create a tokenizer object
# "<OOV>" to preserve at least the length of total training data and will be remplaced after the training by the original word
tokenizer = Tokenizer(num_words=vocab_size, oov_token=oov_tok)
# fitting training sentences
tokenizer.fit_on_texts(training_sentences)
# turn the words to numeric tokens
word_index = tokenizer.word_index
# create a sequences of tokens for training
training_sequences = tokenizer.texts_to_sequences(training_sentences)
# RaggerTensor to turn the sequences into a matrix with the same lenght
# second method is using padding method
# padding shape the matrix based on the lenght of the longuest sequence
# and add bunch of zeros to the small ones
training_padded = pad_sequences(training_sequences, maxlen=max_length, padding=padding_type, truncating=trunc_type)
# create a sequences of tokens for testing
testing_sequences = tokenizer.texts_to_sequences(testing_sentences)
testing_padded = pad_sequences(testing_sequences, maxlen=max_length, padding=padding_type, truncating=trunc_type)
# preprocessing
# loading data
with open("/tmp/sarcasm.json", 'r') as f:
datastore = json.load(f)
# preparing training data
sentences = []
labels = []
urls = []
for item in datastore:
sentences.append(item['headline'])
labels.append(item['is_sarcastic'])
urls.append(item['article_link'])
# slicing training and testing data for the model
training_sentences = sentences[0:training_size]
testing_sentences = sentences[training_size:]
training_labels = labels[0:training_size]
testing_labels = labels[training_size:]
# create a tokenizer object
# "<OOV>" to preserve at least the length of total training data and will be remplaced after the training by the original word
tokenizer = Tokenizer(num_words=vocab_size, oov_token=oov_tok)
# fitting training sentences
tokenizer.fit_on_texts(training_sentences)
# turn the words to numeric tokens
word_index = tokenizer.word_index
# create a sequences of tokens for training
training_sequences = tokenizer.texts_to_sequences(training_sentences)
# RaggerTensor to turn the sequences into a matrix with the same lenght
# second method is using padding method
# padding shape the matrix based on the lenght of the longuest sequence
# and add bunch of zeros to the small ones
training_padded = pad_sequences(training_sequences, maxlen=max_length, padding=padding_type, truncating=trunc_type)
# create a sequences of tokens for testing
testing_sequences = tokenizer.texts_to_sequences(testing_sentences)
testing_padded = pad_sequences(testing_sequences, maxlen=max_length, padding=padding_type, truncating=trunc_type)
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# checking data
print(training_padded.shape)
print(testing_padded.shape)
print(word_index)
print(training_sequences)
print(training_padded)
print(testing_sequences)
print(testing_padded)
# checking data
print(training_padded.shape)
print(testing_padded.shape)
print(word_index)
print(training_sequences)
print(training_padded)
print(testing_sequences)
print(testing_padded)
(20000, 100)
(6709, 100)
{'<OOV>': 1, 'to': 2, 'of': 3, 'the': 4, 'in': 5, 'for': 6, 'a': 7, 'on': 8, 'and': 9, 'with': 10, 'is': 11, 'new': 12, 'trump': 13, 'man': 14, 'from': 15, 'at': 16, 'about': 17, 'you': 18, 'by': 19, 'this': 20, 'after': 21, 'be': 22, 'up': 23, 'out': 24, 'that': 25, 'how': 26, 'as': 27, 'it': 28, 'not': 29, 'are': 30, 'your': 31, 'what': 32, 'his': 33, 'all': 34, 'he': 35, 'will': 36, 'who': 37, 'just': 38, 'has': 39, 'more': 40, 'one': 41, 'year': 42, 'into': 43, 'report': 44, 'have': 45, 'why': 46, 'over': 47, 'area': 48, 'u': 49, 'donald': 50, 'says': 51, 'day': 52, 'can': 53, 's': 54, 'first': 55, 'woman': 56, 'time': 57, 'like': 58, 'get': 59, 'old': 60, 'no': 61, 'her': 62, "trump's": 63, 'off': 64, 'now': 65, 'an': 66, 'obama': 67, 'life': 68, 'people': 69, 'women': 70, 'house': 71, "'": 72, 'was': 73, 'still': 74, 'white': 75, 'back': 76, 'make': 77, 'than': 78, 'clinton': 79, 'down': 80, 'when': 81, 'my': 82, '5': 83, 'could': 84, 'world': 85, 'americans': 86, 'if': 87, 'i': 88, 'we': 89, 'way': 90, 'their': 91, 'most': 92, 'study': 93, 'they': 94, 'before': 95, 'family': 96, 'do': 97, 'gop': 98, 'best': 99, 'black': 100, "it's": 101, 'bill': 102, 'school': 103, 'but': 104, 'only': 105, 'police': 106, 'him': 107, 'so': 108, 'years': 109, 'president': 110, 'know': 111, '3': 112, 'being': 113, 'watch': 114, 'should': 115, 'would': 116, 'last': 117, 'really': 118, '10': 119, 'video': 120, 'show': 121, "can't": 122, 'going': 123, 'death': 124, 'hillary': 125, 'during': 126, 'finds': 127, 'american': 128, 'things': 129, 'good': 130, 'state': 131, 'against': 132, 'she': 133, 'home': 134, 'or': 135, 'may': 136, 'love': 137, 'health': 138, 'say': 139, 'need': 140, 'nation': 141, 'too': 142, '000': 143, 'every': 144, 'right': 145, 'take': 146, 'gets': 147, 'campaign': 148, "'the": 149, 'work': 150, 'little': 151, '2': 152, 'mom': 153, 'court': 154, 'some': 155, 'getting': 156, 'party': 157, 'high': 158, 'john': 159, "here's": 160, 'our': 161, '7': 162, 'kids': 163, 'calls': 164, 'where': 165, 'takes': 166, 'makes': 167, 'child': 168, 'parents': 169, 'dead': 170, 'big': 171, 'these': 172, 'local': 173, 'while': 174, 'own': 175, 'never': 176, 'election': 177, 'real': 178, 'go': 179, "doesn't": 180, 'other': 181, "he's": 182, 'news': 183, 'america': 184, 'see': 185, 'self': 186, 'through': 187, '4': 188, 'plan': 189, 'stop': 190, 'want': 191, 'college': 192, 'guy': 193, 'its': 194, 'change': 195, '6': 196, 'look': 197, 'sex': 198, 'gay': 199, 'office': 200, 'again': 201, "don't": 202, 'two': 203, 'bush': 204, 'next': 205, "nation's": 206, 'around': 207, 'war': 208, 'even': 209, '1': 210, 'got': 211, 'another': 212, 'wants': 213, 'baby': 214, 'million': 215, 'long': 216, "man's": 217, 'dog': 218, 'them': 219, 'week': 220, 'thing': 221, 'dad': 222, 'congress': 223, 'made': 224, 'gun': 225, 'north': 226, 'much': 227, 'care': 228, 'under': 229, 'job': 230, 'ever': 231, 'national': 232, 'finally': 233, 'debate': 234, 'actually': 235, 'help': 236, 'ways': 237, '20': 238, 'us': 239, 'been': 240, 'students': 241, '9': 242, 'shows': 243, 'sexual': 244, 'give': 245, "won't": 246, 'season': 247, 'live': 248, 'game': 249, 'making': 250, 'better': 251, 'climate': 252, 'senate': 253, 'shooting': 254, 'without': 255, 'anti': 256, 'history': 257, 'media': 258, 'night': 259, 'had': 260, 'star': 261, 'god': 262, 'couple': 263, 'money': 264, 'entire': 265, 'everyone': 266, 'there': 267, 'city': 268, 'free': 269, 'trying': 270, 'any': 271, 'end': 272, 'me': 273, 'children': 274, 'announces': 275, 'tv': 276, 'law': 277, 'top': 278, 'found': 279, 'away': 280, 'paul': 281, 'supreme': 282, 'face': 283, '8': 284, 'men': 285, 'government': 286, 'teen': 287, 'come': 288, 'story': 289, 'tell': 290, 'business': 291, 'food': 292, 'part': 293, 'film': 294, 'bad': 295, 'reveals': 296, 'think': 297, 'deal': 298, 'introduces': 299, 'morning': 300, 'attack': 301, 'find': 302, 'james': 303, 'son': 304, 'car': 305, '11': 306, 'enough': 307, 'fire': 308, 'facebook': 309, 'does': 310, 'power': 311, 'pope': 312, 'movie': 313, 'friend': 314, 'fight': 315, 'york': 316, 'wedding': 317, 'used': 318, 'body': 319, 'book': 320, 'call': 321, 'middle': 322, "didn't": 323, 'girl': 324, 'run': 325, 'same': 326, 'use': 327, 'former': 328, 'tax': 329, 'single': 330, 'thinks': 331, 'friends': 332, 'public': 333, 'second': 334, 'email': 335, 'support': 336, 'line': 337, 'photos': 338, 'republican': 339, 'great': 340, 'asks': 341, 'rights': 342, 'company': 343, 'behind': 344, 'sanders': 345, 'marriage': 346, 'speech': 347, 'looking': 348, 'must': 349, 'claims': 350, 'room': 351, 'security': 352, 'already': 353, 'because': 354, 'each': 355, '2016': 356, 'keep': 357, 'judge': 358, 'team': 359, 'republicans': 360, 'christmas': 361, 'goes': 362, 'vote': 363, 'democrats': 364, 'talk': 365, "world's": 366, 'presidential': 367, 'violence': 368, 'case': 369, 'inside': 370, 'voters': 371, 'control': 372, 'open': 373, 'ban': 374, 'future': 375, 'name': 376, 'human': 377, 'department': 378, 'between': 379, 'might': 380, 'ad': 381, 'wife': 382, 'coming': 383, 'perfect': 384, 'win': 385, 'having': 386, 'twitter': 387, 'killed': 388, 'secret': 389, 'political': 390, 'fans': 391, 'full': 392, 'sure': 393, 'group': 394, 'very': 395, 'pretty': 396, 'student': 397, 'texas': 398, 'three': 399, 'record': 400, 'once': 401, 'music': 402, '12': 403, 'bernie': 404, '15': 405, 'missing': 406, 'releases': 407, 'poll': 408, 'doing': 409, 'teacher': 410, 'ready': 411, 'living': 412, 'super': 413, 'boy': 414, 'always': 415, 'scientists': 416, 'art': 417, 'here': 418, 'reports': 419, 'unveils': 420, 'save': 421, 'kim': 422, 'until': 423, 'meet': 424, 'photo': 425, 'race': 426, 'something': 427, 'working': 428, 'comes': 429, 'were': 430, 'post': 431, 'obamacare': 432, 'start': 433, 'word': 434, 'running': 435, 'summer': 436, 'ryan': 437, 'lives': 438, 'fucking': 439, 'shot': 440, 'month': 441, 'mike': 442, 'thousands': 443, 'gives': 444, 'days': 445, 'wall': 446, 'leaves': 447, 'drug': 448, 'water': 449, 'california': 450, 'class': 451, 'female': 452, 'age': 453, 'looks': 454, 'social': 455, 'many': 456, 'let': 457, 'country': 458, 'person': 459, 'breaking': 460, 'everything': 461, 'head': 462, 'father': 463, 'plans': 464, 'minutes': 465, 'russia': 466, 'states': 467, 'town': 468, 'candidate': 469, 'forced': 470, 'put': 471, 'cancer': 472, 'yet': 473, 'education': 474, 'left': 475, 'probably': 476, 'korea': 477, 'cruz': 478, "'i": 479, 'air': 480, 'tells': 481, 'place': 482, 'past': 483, 'admits': 484, 'employee': 485, 'taking': 486, 'hot': 487, 'believe': 488, 'biden': 489, 'did': 490, 'hard': 491, 'red': 492, 'dream': 493, "you're": 494, 'mother': 495, 'half': 496, 'street': 497, 'eating': 498, 'pay': 499, "i'm": 500, 'justice': 501, 'secretary': 502, 'beautiful': 503, 'guide': 504, 'romney': 505, 'administration': 506, 'south': 507, 'heart': 508, 'list': 509, 'military': 510, '50': 511, 'isis': 512, 'internet': 513, 'tips': 514, 'personal': 515, 'small': 516, 'young': 517, 'talks': 518, '30': 519, 'needs': 520, 'together': 521, 'fbi': 522, 'rock': 523, 'nuclear': 524, 'lost': 525, 'times': 526, 'wins': 527, 'questions': 528, 'michael': 529, 'fan': 530, 'lot': 531, 'those': 532, 'letter': 533, 'hollywood': 534, 'set': 535, 'crisis': 536, 'officials': 537, 'king': 538, 'owner': 539, 'latest': 540, 'idea': 541, 'ex': 542, 'thought': 543, 'dies': 544, 'march': 545, 'kill': 546, 'excited': 547, 'restaurant': 548, 'iran': 549, 'director': 550, 'warns': 551, 'chris': 552, 'birthday': 553, 'congressman': 554, "what's": 555, 'issues': 556, 'ask': 557, 'service': 558, 'system': 559, 'birth': 560, 'federal': 561, 'sleep': 562, 'ceo': 563, 'holiday': 564, 'following': 565, 'daughter': 566, 'celebrates': 567, 'move': 568, 'assault': 569, 'wrong': 570, 'china': 571, 'rise': 572, 'ice': 573, 'someone': 574, 'majority': 575, 'cat': 576, 'muslim': 577, 'giving': 578, 'phone': 579, 'fun': 580, "women's": 581, 'problem': 582, 'abortion': 583, 'special': 584, 'mark': 585, 'wearing': 586, 'buy': 587, 'trip': 588, 'third': 589, 'knows': 590, "isn't": 591, 'tweets': 592, 'less': 593, 'nothing': 594, 'series': 595, 'earth': 596, 'chief': 597, 'percent': 598, 'favorite': 599, 'washington': 600, 'few': 601, 'cover': 602, 'talking': 603, 'meeting': 604, 'girls': 605, 'online': 606, 'syrian': 607, 'ted': 608, 'bar': 609, 'box': 610, 'hour': 611, 'play': 612, 'hours': 613, 'fashion': 614, 'late': 615, 'outside': 616, 'al': 617, 'community': 618, 'minute': 619, 'using': 620, 'message': 621, 'florida': 622, 'career': 623, 'become': 624, 'kid': 625, 'moment': 626, 'today': 627, 'huffpost': 628, 'watching': 629, 'stephen': 630, 'break': 631, 't': 632, 'un': 633, '2015': 634, 'democratic': 635, 'fox': 636, 'shit': 637, 'offers': 638, 'thinking': 639, 'george': 640, 'adorable': 641, 'response': 642, 'read': 643, 'weekend': 644, 'months': 645, 'visit': 646, 'hair': 647, 'victims': 648, "america's": 649, 'told': 650, 'hope': 651, 'least': 652, 'different': 653, 'point': 654, 'travel': 655, 'front': 656, 'billion': 657, 'since': 658, 'rules': 659, 'russian': 660, 'feel': 661, 'happy': 662, 'protest': 663, 'straight': 664, 'gift': 665, 'union': 666, 'bus': 667, 'crash': 668, "she's": 669, 'anything': 670, 'dating': 671, 'k': 672, 'scott': 673, 'david': 674, 'accused': 675, "obama's": 676, 'taylor': 677, 'trailer': 678, 'kind': 679, 'names': 680, 'well': 681, 'key': 682, 'order': 683, 'true': 684, 'reasons': 685, 'cop': 686, 'pence': 687, 'reason': 688, 'joe': 689, 'dinner': 690, 'oil': 691, 'syria': 692, 'powerful': 693, 'sick': 694, '100': 695, 'brings': 696, 'global': 697, 'date': 698, 'lead': 699, 'policy': 700, 'spends': 701, 'learned': 702, 'millions': 703, 'lessons': 704, 'francis': 705, 'c': 706, 'struggling': 707, 'low': 708, 'discover': 709, 'song': 710, 'opens': 711, 'far': 712, 'himself': 713, 'girlfriend': 714, 'j': 715, 'vows': 716, 'worried': 717, 'leave': 718, 'surprise': 719, 'kills': 720, 'united': 721, 'hate': 722, 'leader': 723, 'nfl': 724, 'oscar': 725, 'style': 726, 'whole': 727, 'anniversary': 728, 'turns': 729, 'conversation': 730, 'hit': 731, 'waiting': 732, 'general': 733, 'fighting': 734, 'schools': 735, 'host': 736, '2017': 737, 'killing': 738, 'apple': 739, '40': 740, 'prison': 741, '2014': 742, 'adds': 743, 'drunk': 744, "they're": 745, 'd': 746, 'near': 747, 'rubio': 748, 'reality': 749, 'weird': 750, 'senator': 751, 'feels': 752, 'possible': 753, 'moving': 754, 'stars': 755, 'signs': 756, 'politics': 757, 'sign': 758, 'jr': 759, 'immigration': 760, 'leaders': 761, 'stand': 762, 'called': 763, 'tour': 764, 'returns': 765, 'totally': 766, 'reportedly': 767, 'massive': 768, 'sports': 769, 'major': 770, 'force': 771, 'advice': 772, 'weight': 773, 'breaks': 774, 'number': 775, 'bring': 776, 'transgender': 777, 'west': 778, 'mass': 779, 'spring': 780, 'door': 781, 'fall': 782, 'investigation': 783, 'tom': 784, 'employees': 785, 'test': 786, 'relationship': 787, 'important': 788, 'puts': 789, 'iowa': 790, 'stage': 791, 'murder': 792, 'candidates': 793, 'close': 794, 'magazine': 795, 'early': 796, 'trans': 797, 'side': 798, 'store': 799, 'huge': 800, 'artist': 801, 'christian': 802, 'die': 803, 'abuse': 804, 'longer': 805, 'members': 806, 'worst': 807, 'peace': 808, 'loses': 809, 'act': 810, 'kardashian': 811, 'return': 812, 'audience': 813, 'five': 814, 'steve': 815, 'sean': 816, 'suspect': 817, 'prince': 818, 'ben': 819, 'attacks': 820, 'suicide': 821, 'program': 822, 'decision': 823, 'hits': 824, 'awards': 825, 'queer': 826, 'whether': 827, 'cops': 828, 'workers': 829, 'responds': 830, 'push': 831, 'fuck': 832, 'iraq': 833, 'google': 834, 'leaving': 835, 'carolina': 836, 'final': 837, 'voice': 838, 'chinese': 839, '13': 840, 'lgbt': 841, 'executive': 842, 'seen': 843, 'jimmy': 844, 'given': 845, 'keeps': 846, 'shares': 847, 'industry': 848, 'biggest': 849, 'protesters': 850, 'results': 851, 'press': 852, 'center': 853, 'lose': 854, 'almost': 855, 'light': 856, 'risk': 857, 'asking': 858, 'emotional': 859, 'paris': 860, 'michelle': 861, 'male': 862, 'hands': 863, 'road': 864, 'bathroom': 865, 'allegations': 866, 'bowl': 867, 'begins': 868, 'planned': 869, 'homeless': 870, 'poor': 871, 'planet': 872, 'hoping': 873, 'governor': 874, 'non': 875, 'east': 876, 'fails': 877, 'cool': 878, 'wait': 879, 'moms': 880, 'humans': 881, 'mind': 882, 'defense': 883, 'pizza': 884, 'ferguson': 885, 'feeling': 886, 'amazon': 887, 'hall': 888, 'worse': 889, 'starting': 890, 'fear': 891, 'nasa': 892, 'problems': 893, 'check': 894, 'ebola': 895, 'role': 896, 'building': 897, 'arrested': 898, 'driving': 899, 'four': 900, 'scandal': 901, 'space': 902, 'moore': 903, 'science': 904, 'dance': 905, 'easy': 906, 'hand': 907, 'israel': 908, 'picture': 909, 'eyes': 910, 'voter': 911, "there's": 912, 'mental': 913, 'action': 914, 'cut': 915, 'spend': 916, 'spot': 917, 'board': 918, 'chance': 919, 'words': 920, 'suggests': 921, 'urges': 922, 'williams': 923, 'coffee': 924, 'green': 925, 'apologizes': 926, 'celebrate': 927, 'documentary': 928, 'supporters': 929, 'remember': 930, 'depression': 931, 'halloween': 932, 'deadly': 933, 'louis': 934, 'pro': 935, 'oscars': 936, 'interview': 937, 'park': 938, 'completely': 939, 'harassment': 940, 'card': 941, 'university': 942, 'success': 943, 'coworker': 944, 'pick': 945, 'doctor': 946, 'harvey': 947, 'happens': 948, 'throws': 949, 'band': 950, 'pregnant': 951, 'hear': 952, 'crowd': 953, 'deep': 954, 'amazing': 955, 'official': 956, 'chicken': 957, 'ideas': 958, 'refugees': 959, 'forward': 960, 'opening': 961, 'reveal': 962, 'mean': 963, 'simple': 964, 'economy': 965, 'reminds': 966, 'which': 967, 'turn': 968, 'healthy': 969, 'senators': 970, 'swift': 971, 'eat': 972, 'hurricane': 973, '17': 974, 'rest': 975, 'album': 976, 'despite': 977, "woman's": 978, 'chicago': 979, 'movies': 980, 'happened': 981, 'officer': 982, 'across': 983, 'desperate': 984, 'uses': 985, 'apartment': 986, 'plane': 987, 'realizes': 988, 'funding': 989, 'holding': 990, 'leading': 991, 'crime': 992, 'demand': 993, "we're": 994, 'explains': 995, 'seeing': 996, 'slams': 997, 'residents': 998, 'sales': 999, "let's": 1000, 'truth': 1001, 'episode': 1002, 'rape': 1003, 'nearly': 1004, 'orders': 1005, 'lgbtq': 1006, '18': 1007, 'hotel': 1008, 'dreams': 1009, 'loss': 1010, 'clean': 1011, 'worth': 1012, 'review': 1013, 'football': 1014, 'repeal': 1015, 'shop': 1016, 'walking': 1017, 'justin': 1018, 'financial': 1019, 'kerry': 1020, "year's": 1021, 'museum': 1022, 'among': 1023, 'playing': 1024, 'reform': 1025, 'likely': 1026, 'website': 1027, 'try': 1028, 'older': 1029, 'fda': 1030, 'historical': 1031, 'users': 1032, 'olympic': 1033, 'dying': 1034, 'anyone': 1035, 'foreign': 1036, 'dress': 1037, 'avoid': 1038, 'daily': 1039, '25': 1040, 'short': 1041, 'budget': 1042, 'wishes': 1043, 'legal': 1044, 'track': 1045, 'said': 1046, 'culture': 1047, 'eric': 1048, 'color': 1049, 'queen': 1050, 'clearly': 1051, 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1924, 'outbreak': 1925, 'snow': 1926, 'factory': 1927, 'exactly': 1928, 'tears': 1929, 'current': 1930, 'welcome': 1931, 'leadership': 1932, 'nude': 1933, 'upset': 1934, 'anthem': 1935, 'value': 1936, 'alabama': 1937, 'indian': 1938, 'cute': 1939, 'legislation': 1940, 'cross': 1941, 'reaches': 1942, 'newly': 1943, 'hiv': 1944, 'expected': 1945, 'hampshire': 1946, 'jail': 1947, 'zoo': 1948, 'princess': 1949, 'minister': 1950, 'large': 1951, 'acting': 1952, 'eyed': 1953, 'view': 1954, 'add': 1955, 'society': 1956, 'urban': 1957, 'depressed': 1958, 'lobby': 1959, 'opinion': 1960, 'fame': 1961, 'transportation': 1962, 'protecting': 1963, 'due': 1964, 'criminal': 1965, 'hawaii': 1966, 'equal': 1967, 'victory': 1968, 'everywhere': 1969, 'terrorism': 1970, 'ford': 1971, 'feature': 1972, 'shape': 1973, 'population': 1974, 'picks': 1975, "people's": 1976, 'georgia': 1977, 'pack': 1978, 'ray': 1979, 'aims': 1980, 'pot': 1981, 'remove': 1982, 'island': 1983, 'ii': 1984, 'tony': 1985, 'fully': 1986, 'both': 1987, "wouldn't": 1988, 'funeral': 1989, 'vision': 1990, 'conspiracy': 1991, 'gunman': 1992, "mcdonald's": 1993, 'turned': 1994, 'miles': 1995, 'disappointed': 1996, 'creating': 1997, 'magic': 1998, 'lines': 1999, 'g': 2000, 'embarrassed': 2001, 'herself': 2002, 'india': 2003, 'officially': 2004, 'forever': 2005, 'serious': 2006, 'content': 2007, 'section': 2008, 'barely': 2009, 'flu': 2010, 'characters': 2011, 'devos': 2012, 'information': 2013, 'based': 2014, "couldn't": 2015, 'bell': 2016, 'smith': 2017, 'mr': 2018, 'unexpected': 2019, 'bombing': 2020, 'related': 2021, 'details': 2022, 'arrest': 2023, 'tea': 2024, 'campus': 2025, 'conservatives': 2026, 'ancient': 2027, 'recommend': 2028, 'carson': 2029, 'freak': 2030, 'selling': 2031, 'urge': 2032, 'text': 2033, 'matters': 2034, 'seriously': 2035, 'honored': 2036, "parents'": 2037, 'inspires': 2038, 'emails': 2039, 'missed': 2040, 'successful': 2041, 'listening': 2042, 'land': 2043, 'songs': 2044, 'authorities': 2045, 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'obvious': 6370, 'hijab': 6371, 'remembered': 6372, 'crosses': 6373, 'suggesting': 6374, 'searches': 6375, 'buzz': 6376, 'suspends': 6377, 'cookie': 6378, 'log': 6379, 'proposals': 6380, 'champagne': 6381, "jones'": 6382, 'spacey': 6383, 'parties': 6384, 'philosophy': 6385, 'au': 6386, 'adopted': 6387, 'bees': 6388, 'constitutional': 6389, 'twisted': 6390, 'grad': 6391, 'spelling': 6392, 'desert': 6393, 'criticizing': 6394, 'sexuality': 6395, "'time'": 6396, 'cease': 6397, 'dysfunctional': 6398, 'pursue': 6399, 'blasio': 6400, "week'": 6401, 'gilbert': 6402, 'raving': 6403, 'verdict': 6404, 'interrupted': 6405, 'cincinnati': 6406, 'unique': 6407, 'hostile': 6408, 'diverse': 6409, 'crosshairs': 6410, 'abandon': 6411, 'alito': 6412, 'layer': 6413, 'performer': 6414, 'ankle': 6415, 'channels': 6416, 'bigot': 6417, 'jan': 6418, 'unhappy': 6419, 'recognize': 6420, 'condemn': 6421, "'empire'": 6422, 'stuns': 6423, 'proving': 6424, 'nepal': 6425, 'cargo': 6426, 'skyscraper': 6427, 'insults': 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'indie': 6549, 'disick': 6550, 'owning': 6551, 'flower': 6552, 'hmo': 6553, 'textbook': 6554, 'plain': 6555, 'diplomatic': 6556, 'donor': 6557, 'driveway': 6558, "west's": 6559, 'hostess': 6560, 'accidental': 6561, 'residence': 6562, "off'": 6563, 'advances': 6564, 'halt': 6565, 'banning': 6566, 'associated': 6567, 'comment': 6568, 'accessible': 6569, 'nearby': 6570, 'ridiculously': 6571, 'insider': 6572, 'justices': 6573, 'bye': 6574, 'employers': 6575, 'jerk': 6576, 'barber': 6577, 'tuition': 6578, 'cheesecake': 6579, 'diaz': 6580, 'substitute': 6581, '1989': 6582, '3d': 6583, 'duvernay': 6584, 'smells': 6585, 'undermine': 6586, 'alleges': 6587, 'dye': 6588, 'rove': 6589, 'redefine': 6590, 'overseas': 6591, "christie's": 6592, 'gathers': 6593, 'legalizes': 6594, "mccain's": 6595, 'wed': 6596, 'op': 6597, 'lifts': 6598, 'streak': 6599, 'resist': 6600, 'scams': 6601, '1998': 6602, 'uninformed': 6603, 'fantasize': 6604, 'napping': 6605, 'napkin': 6606, 'norman': 6607, 'reunite': 6608, 'mega': 6609, "'these": 6610, 'example': 6611, "smith's": 6612, 'sweatshirt': 6613, 'weighing': 6614, 'grasp': 6615, 'rowdy': 6616, 'shipment': 6617, 'tear': 6618, 'architect': 6619, 'unexpectedly': 6620, 'toddlers': 6621, 'sacrifice': 6622, 'partners': 6623, '20s': 6624, 'investigated': 6625, 'clearance': 6626, 'discarded': 6627, 'wow': 6628, 'tai': 6629, 'chi': 6630, "industry's": 6631, 'rom': 6632, 'sec': 6633, 'bragging': 6634, 'vast': 6635, 'girlfriends': 6636, "'fuck": 6637, 'partial': 6638, "baby's": 6639, 'cube': 6640, 'hippo': 6641, 'adjusting': 6642, 'pudding': 6643, 'payments': 6644, "3'": 6645, 'runaway': 6646, 'wheat': 6647, 'derek': 6648, 'angels': 6649, 'criticizes': 6650, 'quaker': 6651, 'sting': 6652, "'super": 6653, 'nominate': 6654, "work'": 6655, 'patch': 6656, 'bench': 6657, 'hacking': 6658, 'relatives': 6659, "'america": 6660, 'courts': 6661, 'oreos': 6662, '2011': 6663, 'visa': 6664, 'imagining': 6665, 'expands': 6666, 'diego': 6667, 'sparking': 6668, 'seated': 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'79': 6730, 'beliefs': 6731, 'weigh': 6732, 'bananas': 6733, 'serve': 6734, 'refrigerator': 6735, 'blogger': 6736, 'poetry': 6737, 'consequence': 6738, 'confessions': 6739, 'inclusion': 6740, 'toothbrush': 6741, 'prisons': 6742, 'recommendation': 6743, 'backing': 6744, 'helmet': 6745, 'pauses': 6746, 'figuring': 6747, 'gosling': 6748, 'doubled': 6749, 'recently': 6750, 'squirrel': 6751, "nation'": 6752, 'shkreli': 6753, "party's": 6754, 'penn': 6755, 'defamation': 6756, 'leaning': 6757, 'snacks': 6758, 'chilling': 6759, 'bullshit': 6760, 'styrofoam': 6761, 'noticing': 6762, 'condom': 6763, 'raids': 6764, 'fridge': 6765, 'advocacy': 6766, 'reflection': 6767, 'publisher': 6768, 'semitism': 6769, 'peppers': 6770, 'charging': 6771, 'liar': 6772, 'dive': 6773, 'coveted': 6774, 'screenwriter': 6775, 'organize': 6776, 'behaviors': 6777, 'whistleblower': 6778, 'lips': 6779, 'imitates': 6780, 'duterte': 6781, 'grass': 6782, 'retain': 6783, 'invisible': 6784, 'projects': 6785, 'unfit': 6786, 'column': 6787, 'shock': 6788, 'hamilton': 6789, 'soar': 6790, 'detector': 6791, 'kenny': 6792, 'founded': 6793, 'sand': 6794, 'explosive': 6795, 'pinterest': 6796, 'vandalized': 6797, 'disappears': 6798, 'waist': 6799, 'fastest': 6800, 'ethnic': 6801, "jesus'": 6802, "love'": 6803, 'introducing': 6804, 'celebration': 6805, 'carlos': 6806, 'doping': 6807, 'disturbingly': 6808, 'inaugural': 6809, 'kissing': 6810, "'man": 6811, 'gospel': 6812, 'differently': 6813, "syria's": 6814, 'forest': 6815, 'sings': 6816, 'uneasy': 6817, 'megan': 6818, 'juicy': 6819, 'newt': 6820, 'fey': 6821, 'lasts': 6822, 'watergate': 6823, 'retailers': 6824, 'eclipse': 6825, 'salary': 6826, 'taxpayers': 6827, '88': 6828, 'cowboys': 6829, 'tanks': 6830, 'connect': 6831, 'legalize': 6832, 'constituents': 6833, 'rotating': 6834, 'monument': 6835, 'continued': 6836, 'ears': 6837, 'testify': 6838, 'breyer': 6839, "'roseanne'": 6840, 'fascinating': 6841, 'handler': 6842, "hillary'": 6843, 'analysts': 6844, 'dutch': 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'frontier': 6906, "boys'": 6907, 'casey': 6908, 'libido': 6909, 'juggler': 6910, 'transforming': 6911, 'conrad': 6912, 'kitsch': 6913, 'statistic': 6914, 'hernandez': 6915, 'inadvertently': 6916, "'bachelor'": 6917, 'photography': 6918, 'vince': 6919, 'kirsten': 6920, 'paves': 6921, 'spells': 6922, 'portal': 6923, 'lahren': 6924, 'hardy': 6925, 'blond': 6926, 'delaying': 6927, 'certain': 6928, 'psychologists': 6929, 'graves': 6930, 'lock': 6931, 'massage': 6932, 'entertaining': 6933, 'buyers': 6934, 'addicts': 6935, 'sentences': 6936, 'knicks': 6937, 'ceremonial': 6938, "school's": 6939, 'symptom': 6940, 'checklist': 6941, 'laundromat': 6942, 'keg': 6943, 'narcissist': 6944, 'governing': 6945, 'missiles': 6946, 'sadder': 6947, 'attic': 6948, 'motivation': 6949, "'can't": 6950, 'housefly': 6951, 'bounty': 6952, 'brawny': 6953, 'patience': 6954, 'mutual': 6955, 'canceling': 6956, 'choir': 6957, 'pageant': 6958, 'waterboarding': 6959, 'greeting': 6960, 'reno': 6961, 'fetish': 6962, 'evolving': 6963, 'classmate': 6964, 'incorrectly': 6965, 'readies': 6966, 'electronic': 6967, "'lost": 6968, 'merry': 6969, 'unstoppable': 6970, 'kobach': 6971, 'stray': 6972, 'darwin': 6973, 'brewing': 6974, 'approaches': 6975, 'interrogation': 6976, 'accurate': 6977, 'guesses': 6978, 'stern': 6979, "'stupid'": 6980, 'moviegoer': 6981, 'shakespeare': 6982, 'blunt': 6983, 'jupiter': 6984, 'interrupts': 6985, 'demonstrates': 6986, 'flake': 6987, 'mta': 6988, 'grizzly': 6989, 'ranger': 6990, 'selects': 6991, 'entrepreneurial': 6992, '1997': 6993, 'manufacturing': 6994, 'physics': 6995, 'predict': 6996, 'roe': 6997, 'assassination': 6998, "'sleepy": 6999, 'nemesis': 7000, 'moscow': 7001, 'cosmopolitan': 7002, "weren't": 7003, 'lovers': 7004, 'sheet': 7005, 'germans': 7006, 'combination': 7007, "boy'": 7008, 'bowling': 7009, 'scolds': 7010, 'prosecutors': 7011, 'tamir': 7012, 'pointed': 7013, 'molested': 7014, 'dee': 7015, 'soaked': 7016, "life's": 7017, "'ellen'": 7018, 'mauled': 7019, 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'gymnasium': 18139, 'maharishi': 18140, 'rupee': 18141, 'chicagoans': 18142, 'skulls': 18143, 'jurisprudence': 18144, 'emboldened': 18145, 'upham': 18146, 'stuyvesant': 18147, 'yep': 18148, 'trashed': 18149, 'cranston': 18150, 'jewel': 18151, 'organizes': 18152, "unicorns'": 18153, 'crackers': 18154, 'infections': 18155, "rio's": 18156, "'dangerous'": 18157, 'doling': 18158, 'counsel': 18159, "'novλ'": 18160, 'shielded': 18161, 'broadly': 18162, 'mothering': 18163, "'march": 18164, 'suburb': 18165, 'sweeney': 18166, 'stunted': 18167, 'palahniuk': 18168, 'horsey': 18169, 'ari': 18170, 'fleischer': 18171, 'statehood': 18172, 'peshawar': 18173, "stylin'": 18174, 'crushworthy': 18175, 'sardinian': 18176, 'cove': 18177, 'squirming': 18178, 'mingles': 18179, "bird's": 18180, 'willed': 18181, 'antebellum': 18182, 'boosting': 18183, 'metabolism': 18184, 'spilling': 18185, 'freshwater': 18186, 'humorous': 18187, 'paleontology': 18188, 'fundamentalist': 18189, 'ceremoniously': 18190, 'aggression': 18191, 'goers': 18192, 'headliner': 18193, 'conferences': 18194, 'perriello': 18195, 'algae': 18196, 'throats': 18197, "heston's": 18198, 'behrendt': 18199, 'preaches': 18200, 'reminisce': 18201, 'radicalization': 18202, 'busey': 18203, 'swiping': 18204, 'hottie': 18205, 'collude': 18206, 'journeys': 18207, 'metlife': 18208, 'goody': 18209, 'governess': 18210, 'hairbrushes': 18211, 'raking': 18212, 'scalps': 18213, 'insolent': 18214, 'cowardly': 18215, "snitch'": 18216, 'interreligious': 18217, "sant'egidio": 18218, "'grand": 18219, "'alias'": 18220, 'doubted': 18221, "ordinary'": 18222, 'multinational': 18223, "'pink'": 18224, "'stink'": 18225, 'doses': 18226, 'pancuronium': 18227, 'bromide': 18228, 'lodged': 18229, 'mannered': 18230, 'alexia': 18231, 'kosmider': 18232, 'transjourney': 18233, 'vawa': 18234, "'around": 18235, 'trillionaire': 18236, 'temps': 18237, 'enterprising': 18238, 'ficus': 18239, 'lockheed': 18240, 'tactical': 18241, 'lyndon': 18242, 'cigar': 18243, 'petting': 18244, 'rainforests': 18245, 'spiky': 18246, 'sahm': 18247, 'stressfest': 18248, 'taller': 18249, 'fuji': 18250, 'wrestler': 18251, "'women's": 18252, "issue'": 18253, 'probes': 18254, "officials'": 18255, "weeknd's": 18256, 'gigabyte': 18257, 'bogotá': 18258, 'biologist': 18259, "jeb's": 18260, 'tar': 18261, "douchey'": 18262, 'hoverboard': 18263, 'renoir': 18264, 'of\xa0color': 18265, 'rendered': 18266, 'migraines': 18267, 'activated': 18268, "'pigs": 18269, "blanket'": 18270, 'freakish': 18271, 'fling': 18272, "'contusions'": 18273, 'cuddly': 18274, 'languish': 18275, 'mildfires': 18276, 'amble': 18277, "thicke's": 18278, 'humanizing': 18279, 'contending': 18280, 'hoover': 18281, 'suarez': 18282, 'paz': 18283, 'genre': 18284, "'oliver": 18285, "twist'": 18286, 'shipwrecks': 18287, '239': 18288, "libya's": 18289, 'councilwomen': 18290, 'filth': 18291, 'disheveled': 18292, "offense'": 18293, "flu'": 18294, 'lourea': 18295, 'corral': 18296, 'wires': 18297, 'appreciated': 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'hux': 18352, "pilot's": 18353, 'gabby': 18354, 'giffords': 18355, 'mondays': 18356, "sonoma's": 18357, 'wineries': 18358, "'infuriating'": 18359, 'wedges': 18360, 'throne': 18361, 'beside': 18362, "playboy's": 18363, 'monroe': 18364, "'nazi": 18365, 'punks': 18366, 'escalate': 18367, "'speedy": 18368, "recovery'": 18369, 'treme': 18370, 'saltines': 18371, 'storybook': 18372, 'buffoonery': 18373, "banyan's": 18374, 'vaults': 18375, 'gutting': 18376, "successor's": 18377, 'backpacker': 18378, "europeans'": 18379, 'preconceptions': 18380, 'claw': 18381, "fico's": 18382, 'necrotic': 18383, "'got'": 18384, 'balm': 18385, 'registering': 18386, 'bounces': 18387, "theorist's": 18388, 'duping': 18389, "'embodiment": 18390, "exorcise'": 18391, "'hacks'": 18392, 'bookshelf': 18393, 'albinism': 18394, 'precipice': 18395, 'molest': 18396, 'swallowed': 18397, "'large": 18398, "marijuana'": 18399, "'afraid'": 18400, "'telling": 18401, 'keegan': 18402, 'oxytocin': 18403, 'mediated': 18404, "'common": 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'punishments': 18461, 'planting': 18462, "2015's": 18463, 'asexual': 18464, 'templeton': 18465, 'isolation': 18466, 'skewed': 18467, 'perception': 18468, "bachelorette'": 18469, 'dresser': 18470, 'schnauzers': 18471, 'hardened': 18472, 'snacker': 18473, 'skydivers': 18474, 'ferris': 18475, "kramer's": 18476, 'krispie': 18477, 'kurdi': 18478, "'generous'": 18479, 'connectivity': 18480, 'diligently': 18481, "duck'": 18482, "heaven's": 18483, 'begged': 18484, 'nw': 18485, 'sommelier': 18486, "'torture": 18487, 'outlast': 18488, 'dolezals': 18489, 'knack': 18490, 'concepts': 18491, 'poundstone': 18492, "'crisis": 18493, "actor'": 18494, "'chaotic'": 18495, "nigel's": 18496, 'bangers': 18497, 'mash': 18498, 'ignorant': 18499, 'boor': 18500, 'bungles': 18501, 'sprints': 18502, 'clarinet': 18503, 'rubbermaid\x99': 18504, "'another": 18505, "dust'": 18506, 'nuances': 18507, 'pressuring': 18508, 'transcendent': 18509, 'preregistered': 18510, 'furloughed': 18511, 'organ': 18512, 'assails': 18513, 'illiterate': 18514, 'frustrates': 18515, 'ouija': 18516, 'mishandled': 18517, 'ashton': 18518, 'kutcher': 18519, 'processors': 18520, 'revamps': 18521, 'restarts': 18522, 'mastiff': 18523, "'world's": 18524, 'droopy': 18525, 'gassy': 18526, 'rockers': 18527, 'flatirons': 18528, 'platinum': 18529, 'valid': 18530, 'reasoned': 18531, 'moonlit': 18532, 'bonfire': 18533, 'conjure': 18534, 'thrives': 18535, 'haim': 18536, 'disgraced': 18537, 'delighting': 18538, 'plagiarism': 18539, 'fighters': 18540, "fiancé's": 18541, 'ace': 18542, 'penetrate': 18543, 'databases': 18544, 'scar': 18545, "hammersmith'": 18546, 'motörhead': 18547, 'uv': 18548, 'radiation': 18549, 'ahmad': 18550, 'rahami': 18551, 'inspirational': 18552, 'thrower': 18553, 'garfield': 18554, 'chew': 18555, "'parade": 18556, "polls'": 18557, 'colluding': 18558, "peru's": 18559, 'kuczynski': 18560, 'hispánico': 18561, 'unfunny': 18562, 'bhangra': 18563, "'88": 18564, 'thorpe': 18565, 'straps': 18566, 'sac': 18567, "wsj's": 18568, 'polluters': 18569, 'banged': 18570, 'misconception': 18571, 'firewood': 18572, 'fallujah': 18573, 'augmented': 18574, "ring'": 18575, 'pierced': 18576, 'chloë': 18577, 'sevign̈y': 18578, 'umlaut': 18579, 'shaven': 18580, 'tuxedoed': 18581, 'seasoned': 18582, 'bulletproof': 18583, 'vest': 18584, 'disband': 18585, 'setlist': 18586, 'stoplight': 18587, 'tulip': 18588, 'popping': 18589, "'goodell": 18590, "noah's": 18591, 'splinter': 18592, 'scrubs': 18593, 'properties': 18594, 'lithgow': 18595, 'motivate': 18596, 'calvin': 18597, 'handles': 18598, 'dzhokar': 18599, 'schoolgirls': 18600, 'stalled': 18601, 'scheduled': 18602, 'insects': 18603, 'skittering': 18604, "'4": 18605, "44'": 18606, "definitely'": 18607, "list'": 18608, 'trainwreck': 18609, 'refereeing': 18610, 'playoffs': 18611, 'gargamel': 18612, "hotel's": 18613, 'habsburg': 18614, "'mom": 18615, "bod'": 18616, 'turnkey': 18617, 'propped': 18618, 'heightens': 18619, 'preys': 18620, "'ideas'": 18621, 'flaw': 18622, 'wearhouse': 18623, 'trousers': 18624, 'confederacy': 18625, 'canoe': 18626, 'uae': 18627, 'tribes': 18628, 'qatari': 18629, 'emir': 18630, 'warp': 18631, 'saturn': 18632, 'internally': 18633, 'despicable': 18634, 'optioned': 18635, 'armstrong': 18636, "regret'": 18637, 'anew': 18638, 'workweek': 18639, 'medieval': 18640, 'celebrated': 18641, 'milestones': 18642, 'barnacle': 18643, 'nativist': 18644, 'weaken': 18645, 'takeaways': 18646, 'negotiators': 18647, 'shifted': 18648, "'bohemian": 18649, "rhapsody'": 18650, 'meditating': 18651, 'bhikkunis': 18652, 'thailand': 18653, 'septum': 18654, 'aman': 18655, 'sethi': 18656, 'blissed': 18657, 'hemp': 18658, "joel's": 18659, 'faroe': 18660, 'holler': 18661, 'darius': 18662, 'rucker': 18663, 'gamecocks': 18664, 'centenarians': 18665, 'dispensed': 18666, 'liturgy': 18667, 'atone': 18668, 'sprawling': 18669, 'cycles': 18670, 'inflections': 18671, 'portent': 18672, 'gnarled': 18673, 'divides': 18674, 'rescheduled': 18675, 'itching': 18676, 'effortless': 18677, 'eli': 18678, "'news": 18679, 'misusing': 18680, 'redefinition': 18681, 'claymation': 18682, "'married": 18683, "children'": 18684, 'cobweb': 18685, 'leaned': 18686, 'diddy': 18687, 'mustache': 18688, "'therapy'": 18689, 'wolff': 18690, "'explosive'": 18691, 'florist': 18692, 'kagan': 18693, 'distracting': 18694, 'citizenry': 18695, "'historic": 18696, "trauma'": 18697, 'specialists': 18698, 'havana': 18699, 'trailblazers': 18700, "'catastrophic'": 18701, "'special": 18702, "interests'": 18703, 'derailed': 18704, "seniors'": 18705, 'fernandez': 18706, "'fantastic'": 18707, 'dumbledore': 18708, "'fantastic": 18709, "beasts'": 18710, 'biter': 18711, "'whenever": 18712, "cynical'": 18713, "anything'": 18714, 'ensuring': 18715, 'fearsome': 18716, "'representatives'": 18717, 'sweetheart': 18718, 'biotech': 18719, 'injections': 18720, 'submerges': 18721, 'designate': 18722, "montreal's": 18723, 'osm': 18724, 'couche': 18725, 'tard': 18726, 'virée': 18727, 'classique': 18728, 'attendance': 18729, 'likeness': 18730, "'criminal'": 18731, 'colonel': 18732, 'blazer': 18733, 'derelict': 18734, 'bs': 18735, 'nexplanon': 18736, 'implant': 18737, "'scalia": 18738, "ness'": 18739, 'glazed': 18740, 'meyer': 18741, 'wiener': 18742, 'knitting': 18743, "melania's": 18744, 'recuperates': 18745, 'amputee': 18746, 'selecting': 18747, 'bun': 18748, 'greenlit': 18749, 'facetime': 18750, "mckinley's": 18751, 'assassin': 18752, 'mbta': 18753, 'invading': 18754, "whelan's": 18755, 'nycb': 18756, "rain'": 18757, 'deux': 18758, 'flattened': 18759, "fisher's": 18760, '1992': 18761, "lebanon's": 18762, "lennon's": 18763, 'rubbed': 18764, 'hallowed': 18765, 'meningitis': 18766, 'excedrin': 18767, "'lights": 18768, 'jeweler': 18769, "vets'": 18770, 'syrupy': 18771, 'dashcam': 18772, 'wino': 18773, 'keyes': 18774, "campaigning'": 18775, 'stationary': 18776, 'firefighting': 18777, 'ragtag': 18778, 'mockumentary': 18779, 'prowling': 18780, '105': 18781, 'purged': 18782, 'kissinger': 18783, 'corbusier': 18784, 'unannounced': 18785, 'perfected': 18786, 'guzman': 18787, 'committing': 18788, 'harbors': 18789, 'friar': 18790, 'penetration': 18791, 'unsold': 18792, 'ducharme': 18793, 'badpicturemonday': 18794, 'teamwork': 18795, "'hostile": 18796, "crew's": 18797, 'lyons': 18798, 'shoos': 18799, "kaepernick's": 18800, "proud'": 18801, 'conceding': 18802, 'desist': 18803, 'surplus': 18804, "wrestler's": 18805, 'hewitt': 18806, "'inclined'": 18807, "'boys": 18808, "band'": 18809, 'bracelets': 18810, 'bowery': 18811, "kennedy's": 18812, 'disclosure': 18813, 'salve': 18814, "rites'": 18815, 'trumpers': 18816, 'divorcée': 18817, 'knopfler': 18818, 'expressed': 18819, 'interpreted': 18820, 'tonga': 18821, 'taufatofua': 18822, 'colony': 18823, 'carhartt': 18824, 'thong': 18825, 'bolted': 18826, 'danson': 18827, 'mastercard': 18828, "rick's": 18829, 'ponders': 18830, 'controller': 18831, 'cinched': 18832, 'mongol': 18833, 'stossel': 18834, 'plaything': 18835, 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'marsh': 23065, 'glance': 23066, 'stupidest': 23067, 'distribute': 23068, 'classiest': 23069, 'mres': 23070, 'alig': 23071, 'risky': 23072, 'unlabeled': 23073, "stadium's": 23074, 'upends': 23075, 'microfiber': 23076, 'shrugging': 23077, 'uproariously': 23078, "kimmel's": 23079, 'downpour': 23080, 'ails': 23081, 'xx': 23082, 'architectural': 23083, 'thinnest': 23084, 'phrasebook': 23085, "sure'": 23086, 'strengthened': 23087, 'majors': 23088, 'bayer': 23089, 'classically': 23090, 'knobby': 23091, 'fours': 23092, 'wkzn': 23093, 'randall': 23094, 'secedes': 23095, 'randalia': 23096, "orgasm'": 23097, 'bestival': 23098, 'techno': 23099, 'creeping': 23100, "'aweism'": 23101, "humanist's": 23102, 'transcendence': 23103, "'ping'": 23104, 'prospect': 23105, 'tomb': 23106, 'lieutenant': 23107, 'insistent': 23108, 'mund': 23109, 'crowned': 23110, "it'd": 23111, 'objected': 23112, 'guessing': 23113, 'passersby': 23114, "broncos'": 23115, 'marshall': 23116, 'eisenhower': 23117, "reagan's": 23118, 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'catcalls': 23282, 'witching': 23283, 'restaurateur': 23284, 'chang': 23285, "'sea": 23286, 'harpooning': 23287, 'rigged': 23288, "masses'": 23289, 'veil': 23290, 'salaries': 23291, "thirty'": 23292, 'homeowners': 23293, 'proverb': 23294, 'medically': 23295, 'payroll': 23296, 'usps': 23297, 'bejewel': 23298, 'twinkle': 23299, 'tush': 23300, "others'": 23301, 'hezbollah': 23302, 'antisocial': 23303, 'insecurity': 23304, '1939': 23305, 'mascara': 23306, 'capitalize': 23307, "'milestone'": 23308, 'branding': 23309, 'markell': 23310, '1928': 23311, 'stallone': 23312, 'kukors': 23313, 'seduction': 23314, 'visualize': 23315, 'heartbeat': 23316, "yes'": 23317, "shop's": 23318, 'awfully': 23319, "mckinnon's": 23320, 'disinterest': 23321, "'follow": 23322, 'lupe': 23323, 'romantically': 23324, 'garrison': 23325, 'keillor': 23326, "'fires'": 23327, "roscoe's": 23328, "n'": 23329, '6m': 23330, "jacob's": 23331, 'ulbricht': 23332, 'rechargeable': 23333, 'raspberry': 23334, "'sittin'": 23335, 'auditorium': 23336, 'curbing': 23337, 'nihilistic': 23338, "'dawn": 23339, "apes'": 23340, 'jinping': 23341, 'depressive': 23342, "'threat'": 23343, "'munsters'": 23344, 'considerations': 23345, 'bluefish': 23346, 'saor': 23347, 'venetian': 23348, 'riley': 23349, 'dapl': 23350, "marvel's": 23351, 'flavorful': 23352, 'tresspasser': 23353, "'city": 23354, "slickers'": 23355, 'commodities': 23356, 'trader': 23357, "'snl's'": 23358, 'barr': 23359, 'inserted': 23360, 'gobi': 23361, 'jerky': 23362, 'coronation': 23363, "'suppressed": 23364, "mo'nique": 23365, 'flourishing': 23366, 'correspondence': 23367, 'daemon': 23368, 'legos': 23369, 'tamer': 23370, 'flocking': 23371, 'electrifies': 23372, 'bicep': 23373, 'regimen': 23374, 'hq': 23375, "meat'": 23376, 'hy': 23377, 'genic': 23378, 'apportionment': 23379, "got'": 23380, 'zoroastrianism': 23381, 'homepod': 23382, 'whiffing': 23383, 'lunging': 23384, 'toad': 23385, 'dissent': 23386, 'weighty': 23387, 'pronged': 23388, 'dukes': 23389, 'hazzard': 23390, 'portray': 23391, 'molly': 23392, 'hatchet': 23393, "darger's": 23394, 'smelt': 23395, 'baptism': 23396, 'entendre': 23397, 'materialism': 23398, 'ghraib': 23399, 'punctuation': 23400, "snapchat's": 23401, 'snapcash': 23402, 'mcchicken': 23403, 'retool': 23404, 'malaysian': 23405, 'shipments': 23406, 'lipinski': 23407, "weir's": 23408, 'kudlow': 23409, "'leaning'": 23410, 'commentating': 23411, 'skating': 23412, 'meadow': 23413, 'extinguisher': 23414, 'deriving': 23415, "'child's": 23416, "play'": 23417, "viewer's": 23418, 'schiavo': 23419, 'embarrassment': 23420, 'asp': 23421, 'smartness': 23422, "'nuns": 23423, "bus'": 23424, 'emojisinthewild': 23425, 'piketty': 23426, 'francais': 23427, 'bumbler': 23428, 'tripped': 23429, 'eruption': 23430, 'floppy': 23431, 'disks': 23432, 'comprehends': 23433, "'golf": 23434, "lying'": 23435, 'scrubbing': 23436, 'waged': 23437, 'prelude': 23438, 'preciousness': 23439, 'watercolor': 23440, "'peaked": 23441, 'bocce': 23442, 'balled': 23443, "'force'": 23444, "hodor's": 23445, 'sympathize': 23446, 'pettiness': 23447, 'nielsens': 23448, "producers'": 23449, 'schoolgirl': 23450, 'roster': 23451, 'drooling': 23452, "cruz's": 23453, 'heirs': 23454, 'disapproves': 23455, 'gavels': 23456, 'dominion': 23457, "'freshman": 23458, 'smithereen': 23459, '112th': 23460, 'ghostwriter': 23461, "reiser's": 23462, 'busker': 23463, 'gudmunsen': 23464, 'scotsman': 23465, 'tiniest': 23466, 'chamillionaire': 23467, "player's": 23468, 'chagas': 23469, 'scroll': 23470, 'faking': 23471, 'esposito': 23472, 'yuletide': 23473, 'creflo': 23474, "dollar's": 23475, 'messaging': 23476, 'preached': 23477, 'rear': 23478, 'cosme': 23479, 'masterwork': 23480, "leaf'": 23481, "panic'": 23482, "'frozen": 23483, "solid'": 23484, 'stepdad': 23485, 'goatee': 23486, 'underwood': 23487, 'stitches': 23488, "'broken": 23489, "'absolutely'": 23490, 'grotesquely': 23491, "'hashtag'": 23492, 'saltless': 23493, 'defunct': 23494, 'insomniacs': 23495, 'competitions': 23496, 'receivable': 23497, 'grimmie': 23498, "exxon's": 23499, 'revisit': 23500, "pfizer's": 23501, 'schwartz': 23502, 'hunchback': 23503, 'royce': 23504, 'ornament': 23505, 'gre': 23506, 'coms': 23507, 'brainwashed': 23508, 'devastated': 23509, 'tenacity': 23510, 'caterer': 23511, "sons'": 23512, 'lynx': 23513, "mccarthy's": 23514, 'startled': 23515, "'beware": 23516, "hubris'": 23517, 'scrawled': 23518, "clancy's": 23519, 'technicolor': 23520, 'motels': 23521, 'paleontologists': 23522, 'absurd': 23523, 'incurable': 23524, 'deconstructing': 23525, "damore's": 23526, 'gunned': 23527, "media's": 23528, 'possessive': 23529, 'firemen': 23530, "'69": 23531, 'charger': 23532, 'commish': 23533, 'copps': 23534, "seen'": 23535, 'centric': 23536, '1987': 23537, 'manvendra': 23538, 'singh': 23539, 'gohil': 23540, 'situations': 23541, 'pta': 23542, "rbg's": 23543, 'roost': 23544, 'opener': 23545, 'flawlessly': 23546, 'hustled': 23547, 'ceremonies': 23548, 'glossip': 23549, 'aunties': 23550, 'merritt': 23551, 'skateboarder': 23552, 'downhill': 23553, "'shut": 23554, "dance'": 23555, "'lion": 23556, "king'": 23557, 'lint': 23558, 'cardigan': 23559, 'prized': 23560, 'bleached': 23561, 'cc': 23562, 'sabathia': 23563, 'cautiously': 23564, 'arrieta': 23565, 'hitter': 23566, 'cryosleep': 23567, 'bark': 23568, "baker's": 23569, 'martens': 23570, "lord's": 23571, 'inflamed': 23572, 'pulsing': 23573, "'chapter": 23574, 'designates': 23575, "offended'": 23576, "rica's": 23577, 'feat': 23578, 'submarine': 23579, 'shipyard': 23580, 'variants': 23581, 'multiply': 23582, 'breakneck': 23583, 'dumbed': 23584, 'millard': 23585, 'fillmore': 23586, 'trebek': 23587, 'deftly': 23588, 'prolongs': 23589, 'agonizing': 23590, 'jets': 23591, "'unsafe'": 23592, 'southeast': 23593, 'ostensibly': 23594, 'heterosexual': 23595, 'spared': 23596, 'monitoring': 23597, "five'": 23598, "translator'": 23599, 'fx': 23600, 'indira': 23601, 'scoop': 23602, "fall's": 23603, "'exodus": 23604, "kings'": 23605, 'confession': 23606, 'uncooperative': 23607, 'heartburn': 23608, 'ralph': 23609, 'soviet': 23610, 'shelfie': 23611, 'porno': 23612, 'android': 23613, 'forearm': 23614, 'circuitry': 23615, 'contributing': 23616, 'skier': 23617, 'forbidding': 23618, "ramsay's": 23619, 'winneshiek': 23620, 'conveniently': 23621, "'heartwarming'": 23622, 'lyudska': 23623, 'podoba': 23624, 'sexualities': 23625, 'delevingne': 23626, 'paparazzo': 23627, "manufacturer's": 23628, 'dccc': 23629, "democrat's": 23630, "'transgender": 23631, "'fetus": 23632, "'science": 23633, "based'": 23634, "'russiagate'": 23635, 'shocks': 23636, 'tbs': 23637, 'nielsen': 23638, 'hallmarks': 23639, "decision'": 23640, 'staggers': 23641, 'talkative': 23642, 'operators': 23643, 'mcpherson': 23644, "'bossy'": 23645, 'tania': 23646, 'bruguera': 23647, "rights'": 23648, 'petrified': 23649, 'births': 23650, 'unwatched': 23651, 'unblinking': 23652, 'pattinson': 23653, 'fka': 23654, 'twigs': 23655, 'marmont': 23656, 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6661, 115, 3164, 2677, 19, 1963, 347], [1221, 208, 5595, 1, 1552, 260, 2, 22, 1, 1261], [1, 2607, 8, 152, 1, 743, 23, 2, 427, 584], [1, 497, 3594, 124, 3, 2125, 533, 672], [284, 413, 2996, 237, 2, 327, 455, 258, 2, 2043, 31, 205, 230], [50, 13, 233, 820, 608, 478, 1, 33, 4262, 5579], [1206, 12, 2382, 2, 631, 859, 498, 1], [114, 742, 4638, 825, 1], [1, 407, 12, 5603, 210, 5, 152, 1], [933, 1, 9787, 3102, 5, 4994], [4896, 117, 376, 2321, 15, 253, 426], [48, 14, 4368, 788, 1, 896, 5, 965], [409, 82, 3730, 647, 167, 273, 661, 58, 7, 251, 222], [50, 13, 1, 5523, 945, 364, 763, 1, 9, 7388], [1144, 176, 488, 32, 172, 317, 5356, 30, 224, 3], [1581, 1560, 613, 379, 112, 7, 1413, 83, 519, 7, 1413, 1], [875, 1, 907, 939, 7536, 4104, 1, 230], [5, 5977, 101, 57, 2, 2686, 12, 3618], [4, 119, 99, 1201, 2, 1501, 7, 1597, 157], [1, 6279, 30, 4, 1, 3, 2108], [4, 92, 1534, 1, 8, 276, 11, 4, 261, 3, 1595, 1, 1], [5817, 12, 1, 957, 1, 3307, 1, 1], [26, 66, 3017, 8, 1, 1, 3207, 7, 1, 16, 1, 942], [4, 1, 3, 1, 41, 2267, 1, 80, 8, 4, 1, 80, 3, 128, 757], [50, 13, 759, 2841, 1317, 730, 9624, 514, 1, 1], [223, 1, 2307, 215, 6, 4564, 3, 1, 1, 1999], [1, 398, 1, 1, 2, 3260, 764, 1570, 5, 1], [31, 264, 135, 31, 68], [3774, 1062, 292, 1001, 29, 1928, 7, 249, 8439, 6, 8151, 330, 153, 3, 112], [188, 4080, 4447, 388, 5, 7790, 8268, 726, 979, 1, 4685, 368], [25, 57, 8102, 1098, 211, 7, 1, 6, 361], [1263, 2759, 1, 1, 295, 16, 2801], [458, 402, 1, 5, 5693, 2373], [335, 15, 153, 1797, 16, 83, 2801, 7, 1413], [1, 13, 1, 4, 1, 108, 4, 563, 3892, 2, 4, 75, 71, 73, 1667], [587, 135, 3945, 9, 165, 2, 938, 31, 80, 5211, 423, 18, 2944], [8311, 5560, 2927, 1, 1933, 1], [2216, 1, 1449, 38, 7, 3989, 6, 1325, 1145], [563, 1074, 2275, 8005, 12, 3773], [1, 563, 1486, 67, 212, 1736, 17, 6524, 1, 5, 4550], [1, 1, 1, 1, 1, 6, 613], [13, 1352, 2788, 47, 1154, 604, 2955, 10, 541, 6, 3159, 1008], [63, 12, 3258, 659, 1102, 17, 8520, 69, 745, 17, 1, 4, 871], [262, 707, 2, 930, 26, 2, 77, 1], [1, 139, 745, 1, 252, 1465, 2026, 139, 101, 1970], [1, 1, 6453, 18, 30, 11, 32, 18, 4568, 6, 18, 111, 72], [1, 1, 1, 144, 1, 16, 242, 306, 1712], [1737, 3564, 405, 42, 60, 414, 47, 1, 860, 301], [933, 5505, 301, 16, 4994, 5607, 853], [450, 2, 1620, 3596, 2, 6734, 6936, 606], [739, 680, 1071, 923, 12, 1], [1, 362, 6733], [1, 2426, 2, 2690, 25, 1], [1, 299, 12, 1523, 1, 1], [4719, 884, 548, 147, 1692, 21, 120, 2597, 28, 2, 1, 5958], [190, 145, 65, 20, 11, 4, 92, 5010, 1592, 468, 1144, 231, 185], [2892, 2454, 51, 33, 730, 10, 1213, 2549, 73, 8592, 1], [630, 1136, 11, 2454, 1243, 2194, 174, 1, 1459, 1, 523, 325, 2659], [79, 4684, 1, 7936, 8, 1342, 6, 170, 1], [159, 1020, 5000, 5, 8781, 3, 1, 4274, 8948, 56, 2299, 105, 27, 1], [81, 7, 346, 11, 471, 187, 3466], [413, 284, 1583, 3760, 1, 6, 1035, 428, 8, 821, 1495], [3531, 5504, 638, 3878, 64, 34, 309, 1839, 1122, 6, 1, 5275, 1841], [114, 20, 5406, 1, 1340, 2536, 2663, 1, 1, 24, 1], [4, 278, 119, 514, 6, 7, 251, 4190, 562], [12, 485, 39, 176, 2299, 1, 1, 3, 60, 200], [1511, 603, 1429, 5371, 1], [1, 1, 51, 629, 33, 566, 1842, 23, 251, 78, 7, 2894, 385], [59, 1, 20, 2200, 782, 247], [67, 1, 1, 260, 1, 95, 89, 260, 7, 376, 6, 4058], [1080, 6, 158, 103, 2235, 92, 2937, 1921, 5, 141], [3389, 64, 4, 8116, 2606, 2422, 9, 1, 1000, 29, 321, 28, 1], [1000, 29, 3568, 25, 285, 45, 1, 1229, 726, 142], [46, 88, 36, 176, 1, 1, 201], [4405, 3519, 463, 2, 3903, 1127, 1810, 29, 6744, 5014], [4, 1, 3, 4, 7583], [7877, 1, 993, 7632, 1, 354, 1, 39, 7, 1], [171, 2198, 321, 6, 1, 252, 298], [651, 4160, 243, 64, 2721, 883, 1, 6, 4833, 1734], [1, 7028, 279, 1752, 10, 60, 7389, 1639, 5078, 8753, 1, 3439], [1, 3, 1271, 189, 7914], [79, 1, 10, 1, 8576, 1, 5, 2641, 72, 35, 8095], [387, 362, 1470, 21, 1, 110, 1, 166, 1758, 1, 321], [378, 3, 1129, 642, 359, 5554, 64, 2399, 2971, 2139], [8, 20, 2667, 99, 1813, 509, 9095, 666, 2080, 7, 3654, 2587], [677, 971, 65, 671, 751, 8857, 1], [4, 1, 30, 76, 46, 4, 85, 1361, 1, 1], [204, 3660, 3735, 381, 6, 1386, 143, 2464], [513, 1, 1879, 201], [4515, 4, 98, 1, 115, 45, 1, 159, 2252, 1], [106, 8534, 21, 744, 14, 1254, 219, 912, 61, 582], [2892, 1, 2979, 1328, 6, 753, 1054, 132, 12, 316, 795], [106, 45, 61, 541, 26, 5831, 4390, 2652, 1, 145, 21, 94, 2861, 28], [276, 2349, 2817, 16, 1, 3, 1225, 631], [3366, 9, 3203, 1, 302, 1168, 1342, 5, 1650, 2, 3772, 1, 1], [48, 14, 988, 182, 29, 4, 878, 4001], [119, 171, 902, 1743, 958, 6, 516, 1], [1217, 2999, 2428, 1128, 2, 1, 2764, 758, 1, 8814, 1, 3226], [974, 1816, 411, 1926, 1, 25, 1102, 3220], [22, 74, 161, 3093, 1, 2730, 1, 1568, 4721], [2045, 891, 2903, 2226, 380, 3427, 4223, 3, 8790, 2007, 5578], [32, 4, 887, 1461, 1, 234, 4577, 2780, 6859], [4, 1, 3, 4, 1], [1, 1274, 12, 3272, 2128, 2, 776, 2401, 21, 124, 5, 96], [628, 1803, 71, 360, 363, 1, 2, 315, 1587], [56, 1387, 240, 8, 4, 5078, 6, 109, 639, 17, 1, 2, 12, 535, 3, 5927, 798, 2389], [452, 13, 929, 38, 661, 40, 2862, 10, 98, 469, 1387, 3000, 2282, 2, 219], [1, 1160, 3, 113, 1, 5, 1, 3, 4, 1, 2008], [46, 486, 7, 857, 11, 7, 349, 6, 7897], [32, 1, 202, 191, 18, 2, 111, 135, 952], [4210, 1296, 396, 227, 1902, 4, 6289], [59, 411, 2, 1, 16, 20, 1, 4757, 678, 10, 1, 1, 1], [3266, 106, 597, 51, 182, 694, 3, 1, 8, 225, 372], [460, 61, 90, 4336, 383, 24, 3, 20, 10, 7, 1, 1529], [45, 89, 353, 7503, 4, 397, 1446, 536], [1, 8, 1, 1051, 5, 137], [1, 299, 508, 3005, 2306, 6, 2227, 52], [14, 105, 39, 713, 2, 1702, 6, 555, 5, 5329, 7659, 381], [49, 54, 1346, 1, 7071, 23, 306, 215, 3249, 1272], [8, 4, 1063, 3, 4, 282, 154, 142, 662, 2, 722], [581, 1669, 261, 51, 49, 54, 359, 11, 8910, 6, 2406, 1, 2138], [1798, 588, 8769, 5825, 1390, 1503, 2, 22, 725, 1, 1], [1, 2557, 1, 304, 10, 2621, 289], [6128, 7524, 763, 24, 6, 4600, 21, 3798, 2, 71, 6359, 1], [1412, 204, 164, 6, 3114, 8, 4384, 1201, 5, 760, 189], [44, 492, 1378, 2147, 2, 1, 1, 1], [1, 216, 294, 9, 276, 115, 197, 58, 4, 85, 89, 248, 5], [364, 84, 854, 23, 2, 284, 143, 4174, 5, 2200, 6248, 177], [1995, 1, 409, 3067, 21, 1, 1, 47, 5, 305, 668], [8760, 42, 60, 56, 66, 2557, 16, 1], [1052, 1430, 868, 1, 52, 6102, 27, 75, 71, 1], [232, 2654, 6, 1512, 1, 1745, 703, 2, 1, 63, 1, 134], [20, 287, 702, 2, 2860, 33, 6395, 9, 1266, 3893, 653, 1], [1048, 4334, 275, 652, 1432, 823, 3, 9023], [1683, 2142, 14, 9272, 2, 186, 1593, 32, 35, 310, 6, 7, 412], [11, 28, 570, 2, 1, 66, 3098, 16, 194, 175, 249], [495, 3, 6325, 6351, 287, 164, 24, 404, 345, 8, 225, 372], [691, 1433, 7834, 1, 4610, 5, 1, 2746, 1], [1, 1, 407, 12, 710, 1, 1], [5654, 1, 1, 419, 50, 13, 1, 62, 314, 255, 8297], [3633, 86, 3523, 23, 6, 149, 1, 6254, 4, 1], [4633, 1063, 18, 53, 146, 2, 336, 31, 577, 2401, 627], [21, 4, 545, 6, 904, 101, 57, 2, 59, 390], [1, 2236, 2, 2413, 2436, 124, 5, 7769, 1, 3874], [1, 1090, 4709, 6, 1366, 2, 3158, 5261], [1185, 2, 908, 3822, 1964, 2, 257, 3, 908], [432, 369, 2, 22, 1994, 132, 286, 8, 1, 1693], [4, 4308, 124, 3, 1, 1, 9, 1180, 1, 4592], [1033, 1, 5294, 1, 1, 3411, 3196, 11, 108, 1], [1, 159, 1020, 454, 8, 27, 1, 1256, 5886, 43, 422, 1297, 8386, 2409, 1, 1873], [487, 6115, 5343, 899, 304, 136, 45, 1, 2, 1418, 4926], [1643, 285, 30, 74, 1, 69, 8, 4, 497, 61, 101, 74, 29, 2443], [1, 1, 759, 1, 3, 2246, 15, 1, 1, 315], [14, 8, 1632, 2534, 268], [4, 2871, 1374, 7251, 1132, 11, 156, 7, 3639], [408, 575, 3, 86, 411, 2, 245, 23, 8, 49, 54, 87, 574, 1417, 362, 55], [4225, 6075, 563, 38, 3538, 920, 1, 1, 8, 1, 9, 1, 28], [50, 13, 36, 29, 59, 33, 304, 5, 1, 1, 3271], [3620, 1149, 5, 194, 334, 177, 3, 634], [196, 129, 18, 140, 2, 111, 17, 1, 899], [44, 155, 1, 24, 267, 167, 108, 227, 40, 264, 78, 18], [112, 820, 5, 112, 645, 471, 5615, 8, 1970, 5, 4, 49, 672], [13, 1379, 1834, 604, 10, 7752, 278, 1, 761, 1171, 3, 177, 52], [5691, 6515, 7872, 6601], [162, 4978, 1, 5576, 1841, 3, 1, 856, 1055, 1978], [14, 331, 35, 8495, 2, 1, 255, 1, 2531], [633, 1, 44, 2179, 692, 286, 2900, 131, 6, 2624, 820], [422, 1297, 8386, 4711, 447, 226, 1714, 286, 537, 61, 41, 2, 1831, 10], [218, 2332, 10, 1, 1, 132, 62, 279, 38, 4, 169, 133, 1870], [128, 493, 220, 7, 1, 2648, 1, 943], [1498, 3329, 3836, 2, 4650, 48, 379, 1502, 9, 4370], [1, 79, 148, 1, 790, 468, 2, 2413, 5283, 3, 345, 7384], [202, 2275, 6141, 952, 48, 14, 325, 33, 1502], [1, 607, 2657, 1, 126, 7123, 1, 4096, 1183, 3362, 347], [1, 1, 1, 9, 4, 4414, 2, 77, 28, 1392], [44, 1, 3176, 1, 310, 4058, 5671, 5250, 3, 1, 2735, 174, 754, 1], [608, 478, 1530, 12, 316, 526, 6, 2772, 320, 64, 1, 509], [1060, 1, 5, 1, 55, 269, 177, 5, 1040, 109], [573, 6640, 2575, 43, 5262, 5251, 23, 798, 58, 1, 1, 496, 4527], [1, 807, 3840, 429, 684], [12, 1, 1160, 3, 1181, 26, 60, 1, 490, 129], [460, 149, 3491, 5, 546, 3291, 3, 2662, 3231, 817], [2809, 953, 1, 6, 6005, 1, 1, 1113, 15, 1], [1, 1353, 1, 1, 2, 6776, 1653, 8, 455, 258], [3398, 1, 3343, 3, 4, 849, 1, 2, 1116, 627, 6878, 113, 1], [2549, 1, 49, 54, 177, 3628, 21, 363, 1376, 2, 352, 3515], [32, 18, 115, 587, 31, 1, 314, 1376, 2, 6796], [555, 5, 31, 1, 514, 8, 32, 2, 97, 81, 4001, 2762, 429, 5019], [281, 437, 11, 40, 3, 7, 3761, 14, 78, 231], [2364, 2, 9713, 1042, 2168, 24, 3, 2064, 6, 128, 1072], [312, 705, 586, 4676, 1, 35, 211, 6, 361], [128, 757, 5, 4048, 269, 782], [649, 99, 238, 1], [1, 9, 67], [1556, 374, 4114, 6239, 929, 1745, 3663, 3684], [1, 1700, 6, 4, 1, 742]]
[[ 1 1100 6663 ... 0 0 0]
[ 202 1 8 ... 0 0 0]
[ 18 380 191 ... 0 0 0]
...
[ 1 9 67 ... 0 0 0]
[1556 374 4114 ... 0 0 0]
[ 1 1700 6 ... 0 0 0]]
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# Need this block to get it to work with TensorFlow 2.x
# Convert list to array
training_padded = np.array(training_padded)
training_labels = np.array(training_labels)
testing_padded = np.array(testing_padded)
testing_labels = np.array(testing_labels)
# Need this block to get it to work with TensorFlow 2.x
# Convert list to array
training_padded = np.array(training_padded)
training_labels = np.array(training_labels)
testing_padded = np.array(testing_padded)
testing_labels = np.array(testing_labels)
Model
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# model =Sequential([
# tf.keras.layers.Embedding(vocab_size, embedding_dim, input_length=max_length),
# tf.keras.layers.GlobalAveragePooling1D(),
# tf.keras.layers.Dense(24, activation='relu'),
# tf.keras.layers.Dense(1, activation='sigmoid')
# ])
# create linear model
model = Sequential()
# Add embedding (word2vec) vectors : input nodes of words = 16x10000 = 160000
model.add(Embedding(vocab_size, embedding_dim, input_length=max_length))
# add 1D pooling filter
model.add(GlobalAveragePooling1D())
# 24 nodes : hidden nodes with relu first activation function
model.add(Dense(24, activation='relu'))
# output layer with sigmoid output activation function
model.add(Dense(1, activation='sigmoid'))
adam = Adam(lr=0.001)
# compile model
model.compile(loss='binary_crossentropy', optimizer= adam, metrics=['accuracy'])
# model =Sequential([
# tf.keras.layers.Embedding(vocab_size, embedding_dim, input_length=max_length),
# tf.keras.layers.GlobalAveragePooling1D(),
# tf.keras.layers.Dense(24, activation='relu'),
# tf.keras.layers.Dense(1, activation='sigmoid')
# ])
# create linear model
model = Sequential()
# Add embedding (word2vec) vectors : input nodes of words = 16x10000 = 160000
model.add(Embedding(vocab_size, embedding_dim, input_length=max_length))
# add 1D pooling filter
model.add(GlobalAveragePooling1D())
# 24 nodes : hidden nodes with relu first activation function
model.add(Dense(24, activation='relu'))
# output layer with sigmoid output activation function
model.add(Dense(1, activation='sigmoid'))
adam = Adam(lr=0.001)
# compile model
model.compile(loss='binary_crossentropy', optimizer= adam, metrics=['accuracy'])
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# summary
model.summary()
# summary
model.summary()
Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= embedding (Embedding) (None, 100, 16) 160000 _________________________________________________________________ global_average_pooling1d (Gl (None, 16) 0 _________________________________________________________________ dense (Dense) (None, 24) 408 _________________________________________________________________ dense_1 (Dense) (None, 1) 25 ================================================================= Total params: 160,433 Trainable params: 160,433 Non-trainable params: 0 _________________________________________________________________
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# training history
h = model.fit(training_padded, training_labels, validation_data=(testing_padded, testing_labels),
epochs=10, batch_size = 50, verbose=1, shuffle= 1)
# training history
h = model.fit(training_padded, training_labels, validation_data=(testing_padded, testing_labels),
epochs=10, batch_size = 50, verbose=1, shuffle= 1)
Epoch 1/10 400/400 [==============================] - 5s 5ms/step - loss: 0.6847 - accuracy: 0.5576 - val_loss: 0.6486 - val_accuracy: 0.5897 Epoch 2/10 400/400 [==============================] - 2s 4ms/step - loss: 0.5771 - accuracy: 0.7143 - val_loss: 0.4102 - val_accuracy: 0.8296 Epoch 3/10 400/400 [==============================] - 2s 4ms/step - loss: 0.3496 - accuracy: 0.8644 - val_loss: 0.3588 - val_accuracy: 0.8511 Epoch 4/10 400/400 [==============================] - 2s 4ms/step - loss: 0.2793 - accuracy: 0.8927 - val_loss: 0.3502 - val_accuracy: 0.8483 Epoch 5/10 400/400 [==============================] - 2s 4ms/step - loss: 0.2399 - accuracy: 0.9086 - val_loss: 0.3444 - val_accuracy: 0.8533 Epoch 6/10 400/400 [==============================] - 2s 5ms/step - loss: 0.2015 - accuracy: 0.9250 - val_loss: 0.3462 - val_accuracy: 0.8553 Epoch 7/10 400/400 [==============================] - 2s 4ms/step - loss: 0.1877 - accuracy: 0.9277 - val_loss: 0.3541 - val_accuracy: 0.8535 Epoch 8/10 400/400 [==============================] - 2s 4ms/step - loss: 0.1639 - accuracy: 0.9407 - val_loss: 0.3663 - val_accuracy: 0.8554 Epoch 9/10 400/400 [==============================] - 2s 4ms/step - loss: 0.1462 - accuracy: 0.9475 - val_loss: 0.3867 - val_accuracy: 0.8506 Epoch 10/10 400/400 [==============================] - 2s 4ms/step - loss: 0.1351 - accuracy: 0.9528 - val_loss: 0.4001 - val_accuracy: 0.8520
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# plot
plt.plot(h.history['loss'])
plt.plot(h.history['val_loss'])
plt.legend(['training', 'validation'])
plt.title('Loss')
plt.xlabel('epoch')
plt.ylabel('loss')
# plot
plt.plot(h.history['loss'])
plt.plot(h.history['val_loss'])
plt.legend(['training', 'validation'])
plt.title('Loss')
plt.xlabel('epoch')
plt.ylabel('loss')
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plt.plot(h.history['accuracy'])
plt.plot(h.history['val_accuracy'])
plt.legend(['training','validation'])
plt.title('Accuracy')
plt.xlabel('epoch')
plt.ylabel('accuracy')
plt.plot(h.history['accuracy'])
plt.plot(h.history['val_accuracy'])
plt.legend(['training','validation'])
plt.title('Accuracy')
plt.xlabel('epoch')
plt.ylabel('accuracy')
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score = model.evaluate(testing_padded, testing_labels, verbose=1)
print(type(score))
print('Test score:', score[0])
print('Test accuracy:', score[1])
score = model.evaluate(testing_padded, testing_labels, verbose=1)
print(type(score))
print('Test score:', score[0])
print('Test accuracy:', score[1])
210/210 [==============================] - 0s 2ms/step - loss: 0.4001 - accuracy: 0.8520 <class 'list'> Test score: 0.4000606834888458 Test accuracy: 0.8519898653030396
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# reverse_word_index = dict([(value, key) for (key, value) in word_index.items()])
# def decode_sentence(text):
# return ' '.join([reverse_word_index.get(i, '?') for i in text])
# print(decode_sentence(training_padded[0]))
# print(training_sentences[2])
# print(labels[2])
# reverse_word_index = dict([(value, key) for (key, value) in word_index.items()])
# def decode_sentence(text):
# return ' '.join([reverse_word_index.get(i, '?') for i in text])
# print(decode_sentence(training_padded[0]))
# print(training_sentences[2])
# print(labels[2])
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# e = model.layers[0]
# weights = e.get_weights()[0]
# print(weights.shape) # shape: (vocab_size, embedding_dim)
# e = model.layers[0]
# weights = e.get_weights()[0]
# print(weights.shape) # shape: (vocab_size, embedding_dim)
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# import io
# out_v = io.open('vecs.tsv', 'w', encoding='utf-8')
# out_m = io.open('meta.tsv', 'w', encoding='utf-8')
# for word_num in range(1, vocab_size):
# word = reverse_word_index[word_num]
# embeddings = weights[word_num]
# out_m.write(word + "\n")
# out_v.write('\t'.join([str(x) for x in embeddings]) + "\n")
# out_v.close()
# out_m.close()
# import io
# out_v = io.open('vecs.tsv', 'w', encoding='utf-8')
# out_m = io.open('meta.tsv', 'w', encoding='utf-8')
# for word_num in range(1, vocab_size):
# word = reverse_word_index[word_num]
# embeddings = weights[word_num]
# out_m.write(word + "\n")
# out_v.write('\t'.join([str(x) for x in embeddings]) + "\n")
# out_v.close()
# out_m.close()
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# try:
# from google.colab import files
# except ImportError:
# pass
# else:
# files.download('vecs.tsv')
# files.download('meta.tsv')
# try:
# from google.colab import files
# except ImportError:
# pass
# else:
# files.download('vecs.tsv')
# files.download('meta.tsv')
prediction
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sentence = ["granny starting to fear spiders in the garden might be real", "game of thrones season finale showing this sunday night"]
sequences = tokenizer.texts_to_sequences(sentence)
padded = pad_sequences(sequences, maxlen=max_length, padding=padding_type, truncating=trunc_type)
prob = model.predict(padded)
print(f"Probability of sarcasm : {str(prob[0])}\nProbability of No sarcasm : {str(prob[1])}" )
sentence = ["granny starting to fear spiders in the garden might be real", "game of thrones season finale showing this sunday night"]
sequences = tokenizer.texts_to_sequences(sentence)
padded = pad_sequences(sequences, maxlen=max_length, padding=padding_type, truncating=trunc_type)
prob = model.predict(padded)
print(f"Probability of sarcasm : {str(prob[0])}\nProbability of No sarcasm : {str(prob[1])}" )
Probability of sarcasm : [0.7497657] Probability of No sarcasm : [0.07656708]
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