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Sentiment analysis with TFLearn

In this notebook, we'll continue Andrew Trask's work by building a network for sentiment analysis on the movie review data. Instead of a network written with Numpy, we'll be using TFLearn, a high-level library built on top of TensorFlow. TFLearn makes it simpler to build networks just by defining the layers. It takes care of most of the details for you.

We'll start off by importing all the modules we'll need, then load and prepare the data.





In [1]:



    


import pandas as pd
import numpy as np
import tensorflow as tf
import tflearn
from tflearn.data_utils import to_categorical

Preparing the data

Following along with Andrew, our goal here is to convert our reviews into word vectors. The word vectors will have elements representing words in the total vocabulary. If the second position represents the word 'the', for each review we'll count up the number of times 'the' appears in the text and set the second position to that count. I'll show you examples as we build the input data from the reviews data. Check out Andrew's notebook and video for more about this.

Read the data

Use the pandas library to read the reviews and postive/negative labels from comma-separated files. The data we're using has already been preprocessed a bit and we know it uses only lower case characters. If we were working from raw data, where we didn't know it was all lower case, we would want to add a step here to convert it. That's so we treat different variations of the same word, like The, the, and THE, all the same way.





In [2]:



    


reviews = pd.read_csv('reviews.txt', header=None)
labels = pd.read_csv('labels.txt', header=None)

Counting word frequency

To start off we'll need to count how often each word appears in the data. We'll use this count to create a vocabulary we'll use to encode the review data. This resulting count is known as a bag of words. We'll use it to select our vocabulary and build the word vectors. You should have seen how to do this in Andrew's lesson. Try to implement it here using the Counter class.

Exercise: Create the bag of words from the reviews data and assign it to total_counts. The reviews are stores in the reviews Pandas DataFrame. If you want the reviews as a Numpy array, use reviews.values. You can iterate through the rows in the DataFrame with for idx, row in reviews.iterrows(): (documentation). When you break up the reviews into words, use .split(' ') instead of .split() so your results match ours.





In [14]:



    


from collections import Counter

total_counts = Counter()
for i, row in reviews.iterrows():
    review = row[0]
    words = review.split(' ')
    total_counts.update(words)

print("Total words in data set: ", len(total_counts))



    


















    






Total words in data set:  74074

Let's keep the first 10000 most frequent words. As Andrew noted, most of the words in the vocabulary are rarely used so they will have little effect on our predictions. Below, we'll sort vocab by the count value and keep the 10000 most frequent words.





In [15]:



    


vocab = sorted(total_counts, key=total_counts.get, reverse=True)[:10000]
print(vocab[:60])



    


















    






['', 'the', '.', 'and', 'a', 'of', 'to', 'is', 'br', 'it', 'in', 'i', 'this', 'that', 's', 'was', 'as', 'for', 'with', 'movie', 'but', 'film', 'you', 'on', 't', 'not', 'he', 'are', 'his', 'have', 'be', 'one', 'all', 'at', 'they', 'by', 'an', 'who', 'so', 'from', 'like', 'there', 'her', 'or', 'just', 'about', 'out', 'if', 'has', 'what', 'some', 'good', 'can', 'more', 'she', 'when', 'very', 'up', 'time', 'no']

What's the last word in our vocabulary? We can use this to judge if 10000 is too few. If the last word is pretty common, we probably need to keep more words.





In [16]:



    


print(vocab[-1], ': ', total_counts[vocab[-1]])



    


















    






fulfilled :  30

The last word in our vocabulary shows up 30 times in 25000 reviews. I think it's fair to say this is a tiny proportion. We are probably fine with this number of words.

Note: When you run, you may see a different word from the one shown above, but it will also have the value 30. That's because there are many words tied for that number of counts, and the Counter class does not guarantee which one will be returned in the case of a tie.

Now for each review in the data, we'll make a word vector. First we need to make a mapping of word to index, pretty easy to do with a dictionary comprehension.

Exercise: Create a dictionary called word2idx that maps each word in the vocabulary to an index. The first word in vocab has index 0, the second word has index 1, and so on.





In [20]:



    


word2idx = {word: i for i, word in enumerate(vocab)}
print(word2idx)



    


















    






{'': 0, 'the': 1, '.': 2, 'and': 3, 'a': 4, 'of': 5, 'to': 6, 'is': 7, 'br': 8, 'it': 9, 'in': 10, 'i': 11, 'this': 12, 'that': 13, 's': 14, 'was': 15, 'as': 16, 'for': 17, 'with': 18, 'movie': 19, 'but': 20, 'film': 21, 'you': 22, 'on': 23, 't': 24, 'not': 25, 'he': 26, 'are': 27, 'his': 28, 'have': 29, 'be': 30, 'one': 31, 'all': 32, 'at': 33, 'they': 34, 'by': 35, 'an': 36, 'who': 37, 'so': 38, 'from': 39, 'like': 40, 'there': 41, 'her': 42, 'or': 43, 'just': 44, 'about': 45, 'out': 46, 'if': 47, 'has': 48, 'what': 49, 'some': 50, 'good': 51, 'can': 52, 'more': 53, 'she': 54, 'when': 55, 'very': 56, 'up': 57, 'time': 58, 'no': 59, 'even': 60, 'my': 61, 'would': 62, 'which': 63, 'story': 64, 'only': 65, 'really': 66, 'see': 67, 'their': 68, 'had': 69, 'we': 70, 'were': 71, 'me': 72, 'well': 73, 'than': 74, 'much': 75, 'get': 76, 'bad': 77, 'been': 78, 'people': 79, 'will': 80, 'do': 81, 'other': 82, 'also': 83, 'into': 84, 'first': 85, 'great': 86, 'because': 87, 'how': 88, 'him': 89, 'don': 90, 'most': 91, 'made': 92, 'its': 93, 'then': 94, 'make': 95, 'way': 96, 'them': 97, 'could': 98, 'too': 99, 'movies': 100, 'any': 101, 'after': 102, 'think': 103, 'characters': 104, 'character': 105, 'watch': 106, 'two': 107, 'films': 108, 'seen': 109, 'many': 110, 'life': 111, 'being': 112, 'plot': 113, 'acting': 114, 'never': 115, 'love': 116, 'little': 117, 'best': 118, 'where': 119, 'over': 120, 'did': 121, 'show': 122, 'know': 123, 'off': 124, 'ever': 125, 'man': 126, 'does': 127, 'here': 128, 'better': 129, 'your': 130, 'end': 131, 'still': 132, 'these': 133, 'say': 134, 'scene': 135, 'why': 136, 'while': 137, 'scenes': 138, 'go': 139, 've': 140, 'such': 141, 'something': 142, 'should': 143, 'm': 144, 'back': 145, 'through': 146, 'real': 147, 'those': 148, 'watching': 149, 'now': 150, 'though': 151, 'doesn': 152, 'thing': 153, 'old': 154, 'years': 155, 're': 156, 'actors': 157, 'director': 158, 'work': 159, 'another': 160, 'before': 161, 'didn': 162, 'new': 163, 'nothing': 164, 'funny': 165, 'actually': 166, 'makes': 167, 'look': 168, 'find': 169, 'going': 170, 'few': 171, 'same': 172, 'part': 173, 'again': 174, 'every': 175, 'lot': 176, 'world': 177, 'cast': 178, 'us': 179, 'quite': 180, 'down': 181, 'want': 182, 'things': 183, 'pretty': 184, 'young': 185, 'seems': 186, 'around': 187, 'horror': 188, 'got': 189, 'however': 190, 'fact': 191, 'take': 192, 'big': 193, 'enough': 194, 'long': 195, 'thought': 196, 'series': 197, 'both': 198, 'between': 199, 'may': 200, 'give': 201, 'original': 202, 'action': 203, 'own': 204, 'right': 205, 'without': 206, 'must': 207, 'comedy': 208, 'always': 209, 'times': 210, 'point': 211, 'gets': 212, 'family': 213, 'come': 214, 'role': 215, 'isn': 216, 'saw': 217, 'almost': 218, 'interesting': 219, 'least': 220, 'done': 221, 'whole': 222, 'd': 223, 'bit': 224, 'music': 225, 'guy': 226, 'script': 227, 'far': 228, 'making': 229, 'minutes': 230, 'feel': 231, 'anything': 232, 'last': 233, 'might': 234, 'since': 235, 'performance': 236, 'll': 237, 'girl': 238, 'probably': 239, 'am': 240, 'woman': 241, 'kind': 242, 'tv': 243, 'away': 244, 'yet': 245, 'day': 246, 'rather': 247, 'worst': 248, 'fun': 249, 'sure': 250, 'hard': 251, 'anyone': 252, 'played': 253, 'each': 254, 'found': 255, 'having': 256, 'although': 257, 'especially': 258, 'our': 259, 'course': 260, 'believe': 261, 'screen': 262, 'comes': 263, 'looking': 264, 'trying': 265, 'set': 266, 'goes': 267, 'book': 268, 'looks': 269, 'place': 270, 'actor': 271, 'different': 272, 'put': 273, 'money': 274, 'year': 275, 'ending': 276, 'dvd': 277, 'maybe': 278, 'let': 279, 'someone': 280, 'true': 281, 'once': 282, 'sense': 283, 'everything': 284, 'reason': 285, 'wasn': 286, 'shows': 287, 'three': 288, 'worth': 289, 'job': 290, 'main': 291, 'together': 292, 'play': 293, 'watched': 294, 'american': 295, 'everyone': 296, 'plays': 297, 'john': 298, 'effects': 299, 'later': 300, 'audience': 301, 'said': 302, 'takes': 303, 'instead': 304, 'house': 305, 'beautiful': 306, 'seem': 307, 'night': 308, 'high': 309, 'himself': 310, 'version': 311, 'wife': 312, 'during': 313, 'left': 314, 'father': 315, 'special': 316, 'seeing': 317, 'half': 318, 'star': 319, 'excellent': 320, 'war': 321, 'shot': 322, 'idea': 323, 'black': 324, 'nice': 325, 'less': 326, 'else': 327, 'mind': 328, 'simply': 329, 'read': 330, 'second': 331, 'fan': 332, 'men': 333, 'death': 334, 'hollywood': 335, 'poor': 336, 'help': 337, 'completely': 338, 'used': 339, 'home': 340, 'dead': 341, 'line': 342, 'short': 343, 'either': 344, 'given': 345, 'top': 346, 'kids': 347, 'budget': 348, 'try': 349, 'classic': 350, 'wrong': 351, 'performances': 352, 'women': 353, 'enjoy': 354, 'boring': 355, 'need': 356, 'use': 357, 'rest': 358, 'low': 359, 'friends': 360, 'production': 361, 'full': 362, 'camera': 363, 'until': 364, 'along': 365, 'truly': 366, 'video': 367, 'awful': 368, 'couple': 369, 'tell': 370, 'next': 371, 'remember': 372, 'stupid': 373, 'start': 374, 'stars': 375, 'perhaps': 376, 'sex': 377, 'mean': 378, 'won': 379, 'came': 380, 'recommend': 381, 'moments': 382, 'school': 383, 'episode': 384, 'wonderful': 385, 'small': 386, 'face': 387, 'understand': 388, 'terrible': 389, 'playing': 390, 'getting': 391, 'written': 392, 'early': 393, 'name': 394, 'doing': 395, 'often': 396, 'style': 397, 'keep': 398, 'perfect': 399, 'human': 400, 'others': 401, 'person': 402, 'definitely': 403, 'gives': 404, 'itself': 405, 'boy': 406, 'lines': 407, 'lost': 408, 'live': 409, 'become': 410, 'dialogue': 411, 'head': 412, 'piece': 413, 'finally': 414, 'case': 415, 'yes': 416, 'felt': 417, 'mother': 418, 'liked': 419, 'supposed': 420, 'children': 421, 'title': 422, 'couldn': 423, 'cinema': 424, 'white': 425, 'absolutely': 426, 'picture': 427, 'against': 428, 'sort': 429, 'worse': 430, 'certainly': 431, 'went': 432, 'entire': 433, 'waste': 434, 'killer': 435, 'problem': 436, 'oh': 437, 'mr': 438, 'hope': 439, 'evil': 440, 'entertaining': 441, 'friend': 442, 'overall': 443, 'called': 444, 'based': 445, 'loved': 446, 'fans': 447, 'several': 448, 'drama': 449, 'beginning': 450, 'lives': 451, 'direction': 452, 'care': 453, 'already': 454, 'dark': 455, 'becomes': 456, 'laugh': 457, 'example': 458, 'under': 459, 'despite': 460, 'seemed': 461, 'throughout': 462, 'turn': 463, 'son': 464, 'unfortunately': 465, 'wanted': 466, 'michael': 467, 'history': 468, 'heart': 469, 'final': 470, 'fine': 471, 'child': 472, 'sound': 473, 'amazing': 474, 'guess': 475, 'lead': 476, 'humor': 477, 'totally': 478, 'writing': 479, 'guys': 480, 'quality': 481, 'close': 482, 'art': 483, 'wants': 484, 'game': 485, 'behind': 486, 'works': 487, 'town': 488, 'side': 489, 'tries': 490, 'days': 491, 'past': 492, 'viewer': 493, 'able': 494, 'flick': 495, 'hand': 496, 'genre': 497, 'turns': 498, 'act': 499, 'enjoyed': 500, 'today': 501, 'kill': 502, 'favorite': 503, 'car': 504, 'soon': 505, 'starts': 506, 'run': 507, 'actress': 508, 'sometimes': 509, 'gave': 510, 'eyes': 511, 'b': 512, 'late': 513, 'girls': 514, 'etc': 515, 'god': 516, 'directed': 517, 'horrible': 518, 'kid': 519, 'city': 520, 'brilliant': 521, 'parts': 522, 'hour': 523, 'blood': 524, 'self': 525, 'themselves': 526, 'stories': 527, 'thinking': 528, 'expect': 529, 'stuff': 530, 'obviously': 531, 'decent': 532, 'voice': 533, 'writer': 534, 'fight': 535, 'highly': 536, 'myself': 537, 'feeling': 538, 'daughter': 539, 'slow': 540, 'except': 541, 'matter': 542, 'type': 543, 'age': 544, 'anyway': 545, 'roles': 546, 'moment': 547, 'killed': 548, 'heard': 549, 'says': 550, 'leave': 551, 'brother': 552, 'took': 553, 'strong': 554, 'cannot': 555, 'police': 556, 'violence': 557, 'hit': 558, 'stop': 559, 'happens': 560, 'known': 561, 'particularly': 562, 'involved': 563, 'happened': 564, 'chance': 565, 'extremely': 566, 'james': 567, 'obvious': 568, 'murder': 569, 'told': 570, 'living': 571, 'coming': 572, 'alone': 573, 'experience': 574, 'lack': 575, 'hero': 576, 'wouldn': 577, 'including': 578, 'attempt': 579, 'please': 580, 'happen': 581, 'gore': 582, 'crap': 583, 'wonder': 584, 'cut': 585, 'group': 586, 'complete': 587, 'ago': 588, 'interest': 589, 'none': 590, 'score': 591, 'husband': 592, 'hell': 593, 'save': 594, 'david': 595, 'simple': 596, 'ok': 597, 'looked': 598, 'song': 599, 'career': 600, 'number': 601, 'seriously': 602, 'possible': 603, 'annoying': 604, 'sad': 605, 'exactly': 606, 'shown': 607, 'king': 608, 'running': 609, 'musical': 610, 'yourself': 611, 'serious': 612, 'scary': 613, 'reality': 614, 'taken': 615, 'whose': 616, 'released': 617, 'cinematography': 618, 'english': 619, 'ends': 620, 'hours': 621, 'usually': 622, 'opening': 623, 'jokes': 624, 'light': 625, 'hilarious': 626, 'across': 627, 'cool': 628, 'body': 629, 'somewhat': 630, 'usual': 631, 'happy': 632, 'relationship': 633, 'ridiculous': 634, 'view': 635, 'level': 636, 'started': 637, 'change': 638, 'opinion': 639, 'wish': 640, 'novel': 641, 'middle': 642, 'talking': 643, 'taking': 644, 'documentary': 645, 'ones': 646, 'robert': 647, 'order': 648, 'shots': 649, 'finds': 650, 'power': 651, 'saying': 652, 'female': 653, 'huge': 654, 'room': 655, 'mostly': 656, 'episodes': 657, 'country': 658, 'five': 659, 'talent': 660, 'important': 661, 'rating': 662, 'modern': 663, 'earth': 664, 'strange': 665, 'major': 666, 'word': 667, 'turned': 668, 'call': 669, 'jack': 670, 'apparently': 671, 'single': 672, 'disappointed': 673, 'events': 674, 'four': 675, 'due': 676, 'songs': 677, 'basically': 678, 'attention': 679, 'television': 680, 'comic': 681, 'knows': 682, 'future': 683, 'non': 684, 'supporting': 685, 'clearly': 686, 'knew': 687, 'british': 688, 'fast': 689, 'thriller': 690, 'paul': 691, 'class': 692, 'easily': 693, 'cheap': 694, 'silly': 695, 'problems': 696, 'aren': 697, 'words': 698, 'miss': 699, 'tells': 700, 'entertainment': 701, 'local': 702, 'sequence': 703, 'rock': 704, 'bring': 705, 'beyond': 706, 'george': 707, 'straight': 708, 'oscar': 709, 'o': 710, 'upon': 711, 'romantic': 712, 'whether': 713, 'predictable': 714, 'moving': 715, 'sets': 716, 'similar': 717, 'review': 718, 'eye': 719, 'falls': 720, 'mystery': 721, 'lady': 722, 'richard': 723, 'talk': 724, 'enjoyable': 725, 'appears': 726, 'needs': 727, 'giving': 728, 'within': 729, 'message': 730, 'theater': 731, 'ten': 732, 'animation': 733, 'near': 734, 'team': 735, 'above': 736, 'sequel': 737, 'red': 738, 'sister': 739, 'dull': 740, 'theme': 741, 'stand': 742, 'nearly': 743, 'lee': 744, 'bunch': 745, 'points': 746, 'mention': 747, 'add': 748, 'york': 749, 'feels': 750, 'herself': 751, 'haven': 752, 'release': 753, 'ways': 754, 'storyline': 755, 'easy': 756, 'surprised': 757, 'using': 758, 'named': 759, 'fantastic': 760, 'lots': 761, 'begins': 762, 'working': 763, 'die': 764, 'actual': 765, 'effort': 766, 'feature': 767, 'tale': 768, 'french': 769, 'minute': 770, 'hate': 771, 'stay': 772, 'follow': 773, 'viewers': 774, 'clear': 775, 'tom': 776, 'elements': 777, 'among': 778, 'comments': 779, 'typical': 780, 'editing': 781, 'avoid': 782, 'showing': 783, 'tried': 784, 'season': 785, 'famous': 786, 'sorry': 787, 'fall': 788, 'dialog': 789, 'check': 790, 'peter': 791, 'period': 792, 'form': 793, 'certain': 794, 'general': 795, 'filmed': 796, 'buy': 797, 'soundtrack': 798, 'parents': 799, 'weak': 800, 'means': 801, 'material': 802, 'realistic': 803, 'figure': 804, 'doubt': 805, 'somehow': 806, 'crime': 807, 'space': 808, 'gone': 809, 'disney': 810, 'kept': 811, 'viewing': 812, 'leads': 813, 'greatest': 814, 'th': 815, 'dance': 816, 'lame': 817, 'suspense': 818, 'zombie': 819, 'third': 820, 'brought': 821, 'imagine': 822, 'atmosphere': 823, 'hear': 824, 'whatever': 825, 'particular': 826, 'de': 827, 'america': 828, 'sequences': 829, 'move': 830, 'indeed': 831, 'rent': 832, 'eventually': 833, 'average': 834, 'learn': 835, 'wait': 836, 'forget': 837, 'reviews': 838, 'deal': 839, 'note': 840, 'japanese': 841, 'surprise': 842, 'stage': 843, 'sexual': 844, 'poorly': 845, 'okay': 846, 'premise': 847, 'believable': 848, 'sit': 849, 'nature': 850, 'possibly': 851, 'subject': 852, 'decided': 853, 'expected': 854, 'truth': 855, 'imdb': 856, 'dr': 857, 'street': 858, 'free': 859, 'became': 860, 'screenplay': 861, 'difficult': 862, 'romance': 863, 'killing': 864, 'baby': 865, 'joe': 866, 'dog': 867, 'nor': 868, 'hot': 869, 'reading': 870, 'question': 871, 'needed': 872, 'leaves': 873, 'begin': 874, 'meets': 875, 'society': 876, 'directors': 877, 'unless': 878, 'credits': 879, 'shame': 880, 'superb': 881, 'otherwise': 882, 'write': 883, 'situation': 884, 'meet': 885, 'dramatic': 886, 'male': 887, 'memorable': 888, 'open': 889, 'badly': 890, 'earlier': 891, 'writers': 892, 'weird': 893, 'dream': 894, 'forced': 895, 'fi': 896, 'acted': 897, 'sci': 898, 'crazy': 899, 'laughs': 900, 'emotional': 901, 'jane': 902, 'older': 903, 'monster': 904, 'beauty': 905, 'realize': 906, 'comment': 907, 'deep': 908, 'footage': 909, 'forward': 910, 'interested': 911, 'ask': 912, 'fantasy': 913, 'whom': 914, 'plus': 915, 'sounds': 916, 'mark': 917, 'directing': 918, 'keeps': 919, 'development': 920, 'features': 921, 'mess': 922, 'air': 923, 'quickly': 924, 'creepy': 925, 'box': 926, 'towards': 927, 'girlfriend': 928, 'perfectly': 929, 'worked': 930, 'cheesy': 931, 'unique': 932, 'setting': 933, 'effect': 934, 'plenty': 935, 'total': 936, 'hands': 937, 'bill': 938, 'result': 939, 'previous': 940, 'fire': 941, 'brings': 942, 'personal': 943, 'incredibly': 944, 'rate': 945, 'business': 946, 'joke': 947, 'doctor': 948, 'casting': 949, 'return': 950, 'apart': 951, 'christmas': 952, 'leading': 953, 'e': 954, 'admit': 955, 'powerful': 956, 'appear': 957, 'cop': 958, 'background': 959, 'boys': 960, 'ben': 961, 'present': 962, 'meant': 963, 'era': 964, 'telling': 965, 'battle': 966, 'hardly': 967, 'break': 968, 'create': 969, 'masterpiece': 970, 'potential': 971, 'secret': 972, 'pay': 973, 'political': 974, 'gay': 975, 'fighting': 976, 'dumb': 977, 'fails': 978, 'twist': 979, 'various': 980, 'co': 981, 'portrayed': 982, 'inside': 983, 'villain': 984, 'western': 985, 'nudity': 986, 'outside': 987, 'reasons': 988, 'william': 989, 'ideas': 990, 'front': 991, 'match': 992, 'missing': 993, 'deserves': 994, 'married': 995, 'expecting': 996, 'rich': 997, 'fairly': 998, 'talented': 999, 'list': 1000, 'success': 1001, 'unlike': 1002, 'scott': 1003, 'attempts': 1004, 'manages': 1005, 'remake': 1006, 'odd': 1007, 'social': 1008, 'cute': 1009, 'recently': 1010, 'flat': 1011, 'spoilers': 1012, 'copy': 1013, 'c': 1014, 'further': 1015, 'wrote': 1016, 'sadly': 1017, 'agree': 1018, 'sweet': 1019, 'cold': 1020, 'crew': 1021, 'plain': 1022, 'office': 1023, 'mary': 1024, 'filmmakers': 1025, 'following': 1026, 'missed': 1027, 'public': 1028, 'mentioned': 1029, 'incredible': 1030, 'gun': 1031, 'pure': 1032, 'wasted': 1033, 'brothers': 1034, 'ended': 1035, 'large': 1036, 'produced': 1037, 'caught': 1038, 'revenge': 1039, 'members': 1040, 'pace': 1041, 'la': 1042, 'filled': 1043, 'popular': 1044, 'party': 1045, 'waiting': 1046, 'science': 1047, 'water': 1048, 'cat': 1049, 'decides': 1050, 'cartoon': 1051, 'hold': 1052, 'considering': 1053, 'spirit': 1054, 'tension': 1055, 'created': 1056, 'slightly': 1057, 'uses': 1058, 'fear': 1059, 'convincing': 1060, 'compared': 1061, 'familiar': 1062, 'suddenly': 1063, 'neither': 1064, 'escape': 1065, 'spent': 1066, 'sees': 1067, 'island': 1068, 'cause': 1069, 'intelligent': 1070, 'clever': 1071, 'state': 1072, 'entirely': 1073, 'dancing': 1074, 'language': 1075, 'bored': 1076, 'moves': 1077, 'credit': 1078, 'choice': 1079, 'kills': 1080, 'band': 1081, 'laughing': 1082, 'century': 1083, 'italian': 1084, 'cover': 1085, 'value': 1086, 'violent': 1087, 'visual': 1088, 'successful': 1089, 'tony': 1090, 'speak': 1091, 'trouble': 1092, 'ultimately': 1093, 'basic': 1094, 'concept': 1095, 'singing': 1096, 'store': 1097, 'positive': 1098, 'studio': 1099, 'zombies': 1100, 'german': 1101, 'animated': 1102, 'biggest': 1103, 'company': 1104, 'exciting': 1105, 'force': 1106, 'runs': 1107, 'consider': 1108, 'died': 1109, 'effective': 1110, 'control': 1111, 'depth': 1112, 'recent': 1113, 'adult': 1114, 'walk': 1115, 'adventure': 1116, 'former': 1117, 'amusing': 1118, 'common': 1119, 'law': 1120, 'portrayal': 1121, 'spend': 1122, 'focus': 1123, 'appreciate': 1124, 'rated': 1125, 'pointless': 1126, 'books': 1127, 'hair': 1128, 'trash': 1129, 'solid': 1130, 'younger': 1131, 'planet': 1132, 'impressive': 1133, 'super': 1134, 'tone': 1135, 'mad': 1136, 'bizarre': 1137, 'respect': 1138, 'follows': 1139, 'college': 1140, 'amount': 1141, 'culture': 1142, 'van': 1143, 'impossible': 1144, 'smith': 1145, 'prison': 1146, 'trip': 1147, 'heavy': 1148, 'project': 1149, 'producers': 1150, 'dad': 1151, 'win': 1152, 'weren': 1153, 'slasher': 1154, 'makers': 1155, 'chemistry': 1156, 'recommended': 1157, 'conclusion': 1158, 'showed': 1159, 'fit': 1160, 'sick': 1161, 'situations': 1162, 'jim': 1163, 'starring': 1164, 'accent': 1165, 'disturbing': 1166, 'u': 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4662, 'resort': 4663, 'matched': 4664, 'rising': 4665, 'justin': 4666, 'bay': 4667, 'floating': 4668, 'terrorists': 4669, 'mankind': 4670, 'parallel': 4671, 'chicks': 4672, 'betty': 4673, 'newly': 4674, 'stallone': 4675, 'attorney': 4676, 'visible': 4677, 'resources': 4678, 'grayson': 4679, 'prisoners': 4680, 'illness': 4681, 'troops': 4682, 'visits': 4683, 'likewise': 4684, 'unit': 4685, 'slaughter': 4686, 'twilight': 4687, 'incomprehensible': 4688, 'pops': 4689, 'prisoner': 4690, 'patients': 4691, 'neighbors': 4692, 'wisdom': 4693, 'witnesses': 4694, 'edition': 4695, 'intimate': 4696, 'ashley': 4697, 'drake': 4698, 'marty': 4699, 'farrell': 4700, 'biko': 4701, 'en': 4702, 'worn': 4703, 'alternate': 4704, 'appreciation': 4705, 'solution': 4706, 'assault': 4707, 'responsibility': 4708, 'lively': 4709, 'fascinated': 4710, 'tomatoes': 4711, 'manipulative': 4712, 'agreed': 4713, 'challenging': 4714, 'accompanied': 4715, 'ridden': 4716, 'ensues': 4717, 'pit': 4718, 'tiger': 4719, 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'photo': 4779, 'seeks': 4780, 'despair': 4781, 'waitress': 4782, 'sincere': 4783, 'dropping': 4784, 'historically': 4785, 'dressing': 4786, 'priceless': 4787, 'overlook': 4788, 'warmth': 4789, 'crucial': 4790, 'domestic': 4791, 'channels': 4792, 'tends': 4793, 'tooth': 4794, 'ninja': 4795, 'bargain': 4796, 'enthusiasm': 4797, 'marion': 4798, 'rocky': 4799, 'mtv': 4800, 'graham': 4801, 'ear': 4802, 'calm': 4803, 'mundane': 4804, 'der': 4805, 'rukh': 4806, 'serving': 4807, 'nyc': 4808, 'greed': 4809, 'rangers': 4810, 'walsh': 4811, 'psychic': 4812, 'defense': 4813, 'hilariously': 4814, 'landscapes': 4815, 'novak': 4816, 'julian': 4817, 'reid': 4818, 'iraq': 4819, 'loaded': 4820, 'survivor': 4821, 'generated': 4822, 'poem': 4823, 'belong': 4824, 'heights': 4825, 'randomly': 4826, 'fianc': 4827, 'irrelevant': 4828, 'methods': 4829, 'assassin': 4830, 'pink': 4831, 'bumbling': 4832, 'improvement': 4833, 'opportunities': 4834, 'alfred': 4835, 'chooses': 4836, 'orange': 4837, 'mechanical': 4838, 'creativity': 4839, 'specially': 4840, 'imitation': 4841, 'orleans': 4842, 'spain': 4843, 'resident': 4844, 'pursuit': 4845, 'thompson': 4846, 'fed': 4847, 'instinct': 4848, 'polished': 4849, 'muslim': 4850, 'pamela': 4851, 'monk': 4852, 'willie': 4853, 'watson': 4854, 'omen': 4855, 'wishing': 4856, 'recording': 4857, 'prequel': 4858, 'masterpieces': 4859, 'israel': 4860, 'mentioning': 4861, 'angela': 4862, 'dolph': 4863, 'ww': 4864, 'abraham': 4865, 'cassidy': 4866, 'carla': 4867, 'zizek': 4868, 'whoopi': 4869, 'showdown': 4870, 'promises': 4871, 'unreal': 4872, 'suspend': 4873, 'minimum': 4874, 'palace': 4875, 'album': 4876, 'introduce': 4877, 'caliber': 4878, 'ruins': 4879, 'gentleman': 4880, 'ham': 4881, 'marketing': 4882, 'purposes': 4883, 'tribe': 4884, 'wacky': 4885, 'nerd': 4886, 'performs': 4887, 'empathy': 4888, 'maid': 4889, 'dana': 4890, 'distinct': 4891, 'awfully': 4892, 'alcohol': 4893, 'suffice': 4894, 'equipment': 4895, 'map': 4896, 'troubles': 4897, 'gifted': 4898, 'hippie': 4899, 'wounded': 4900, 'punishment': 4901, 'feminist': 4902, 'nephew': 4903, 'scotland': 4904, 'damme': 4905, 'mentions': 4906, 'simmons': 4907, 'household': 4908, 'meryl': 4909, 'phony': 4910, 'resist': 4911, 'sneak': 4912, 'cannibal': 4913, 'brenda': 4914, 'icon': 4915, 'borrowed': 4916, 'elm': 4917, 'sabrina': 4918, 'fido': 4919, 'businessman': 4920, 'petty': 4921, 'masses': 4922, 'trail': 4923, 'stretched': 4924, 'contest': 4925, 'josh': 4926, 'spacey': 4927, 'swim': 4928, 'receives': 4929, 'moronic': 4930, 'unoriginal': 4931, 'respected': 4932, 'eastern': 4933, 'unaware': 4934, 'kissing': 4935, 'stargate': 4936, 'travesty': 4937, 'fury': 4938, 'inducing': 4939, 'definition': 4940, 'expressed': 4941, 'fuller': 4942, 'activities': 4943, 'rolled': 4944, 'dud': 4945, 'clip': 4946, 'unseen': 4947, 'deaf': 4948, 'championship': 4949, 'educational': 4950, 'bud': 4951, 'quit': 4952, 'quinn': 4953, 'popularity': 4954, 'testament': 4955, 'absent': 4956, 'greg': 4957, 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'kolchak': 5192, 'wwe': 5193, 'sentinel': 5194, 'teachers': 5195, 'cannon': 5196, 'abused': 5197, 'raises': 5198, 'lock': 5199, 'wagner': 5200, 'joins': 5201, 'wakes': 5202, 'require': 5203, 'challenged': 5204, 'fog': 5205, 'filling': 5206, 'sung': 5207, 'paramount': 5208, 'rude': 5209, 'agenda': 5210, 'interactions': 5211, 'silliness': 5212, 'lands': 5213, 'function': 5214, 'awhile': 5215, 'phrase': 5216, 'complaints': 5217, 'presenting': 5218, 'musicians': 5219, 'primitive': 5220, 'pun': 5221, 'favour': 5222, 'ish': 5223, 'underneath': 5224, 'caricatures': 5225, 'framed': 5226, 'paradise': 5227, 'musician': 5228, 'hungry': 5229, 'fingers': 5230, 'wildly': 5231, 'minus': 5232, 'noises': 5233, 'fifty': 5234, 'precisely': 5235, 'amusement': 5236, 'appropriately': 5237, 'accomplish': 5238, 'grotesque': 5239, 'comedians': 5240, 'exposition': 5241, 'remakes': 5242, 'bacon': 5243, 'rifle': 5244, 'items': 5245, 'stark': 5246, 'complaining': 5247, 'quietly': 5248, 'discovering': 5249, 'straightforward': 5250, 'hackneyed': 5251, 'absurdity': 5252, 'hopkins': 5253, 'asylum': 5254, 'knight': 5255, 'servant': 5256, 'designer': 5257, 'teaches': 5258, 'iv': 5259, 'murdering': 5260, 'adolescent': 5261, 'misleading': 5262, 'leigh': 5263, 'edit': 5264, 'choppy': 5265, 'prepare': 5266, 'pitiful': 5267, 'weakness': 5268, 'conscience': 5269, 'roof': 5270, 'saint': 5271, 'visiting': 5272, 'region': 5273, 'aspiring': 5274, 'roommate': 5275, 'unfold': 5276, 'electric': 5277, 'charged': 5278, 'breed': 5279, 'knocked': 5280, 'posters': 5281, 'releases': 5282, 'fantasies': 5283, 'babies': 5284, 'penn': 5285, 'literary': 5286, 'celebration': 5287, 'riot': 5288, 'sums': 5289, 'policeman': 5290, 'coincidence': 5291, 'dirt': 5292, 'duvall': 5293, 'esther': 5294, 'tomorrow': 5295, 'beverly': 5296, 'credited': 5297, 'loneliness': 5298, 'unlikable': 5299, 'muddled': 5300, 'clarke': 5301, 'curly': 5302, 'posey': 5303, 'chavez': 5304, 'shared': 5305, 'acclaimed': 5306, 'adopted': 5307, 'automatically': 5308, 'laurence': 5309, 'invites': 5310, 'mode': 5311, 'imaginable': 5312, 'bernard': 5313, 'shoddy': 5314, 'heartfelt': 5315, 'haired': 5316, 'cue': 5317, 'handling': 5318, 'preposterous': 5319, 'provocative': 5320, 'dresses': 5321, 'rely': 5322, 'blacks': 5323, 'moreover': 5324, 'inexplicably': 5325, 'visited': 5326, 'industrial': 5327, 'trend': 5328, 'nemesis': 5329, 'active': 5330, 'occasions': 5331, 'shoulder': 5332, 'devices': 5333, 'behaviour': 5334, 'reign': 5335, 'conviction': 5336, 'ethnic': 5337, 'citizens': 5338, 'bread': 5339, 'cancer': 5340, 'encourage': 5341, 'biased': 5342, 'lindsay': 5343, 'nolan': 5344, 'swing': 5345, 'cattle': 5346, 'amazon': 5347, 'quaid': 5348, 'roller': 5349, 'el': 5350, 'realised': 5351, 'objects': 5352, 'dose': 5353, 'boxer': 5354, 'attenborough': 5355, 'mccoy': 5356, 'tierney': 5357, 'penny': 5358, 'profanity': 5359, 'ratso': 5360, 'springer': 5361, 'translated': 5362, 'rod': 5363, 'referred': 5364, 'poe': 5365, 'squad': 5366, 'paxton': 5367, 'heartbreaking': 5368, 'sketch': 5369, 'outfits': 5370, 'tracking': 5371, 'option': 5372, 'accepts': 5373, 'freaks': 5374, 'er': 5375, 'nut': 5376, 'hopelessly': 5377, 'secondary': 5378, 'ignorance': 5379, 'controlled': 5380, 'beatles': 5381, 'guitar': 5382, 'hughes': 5383, 'naughty': 5384, 'yeti': 5385, 'ladder': 5386, 'chills': 5387, 'hk': 5388, 'counts': 5389, 'skits': 5390, 'uncut': 5391, 'heist': 5392, 'regarded': 5393, 'tyler': 5394, 'canyon': 5395, 'tasteless': 5396, 'additional': 5397, 'positively': 5398, 'bye': 5399, 'rosemary': 5400, 'vader': 5401, 'jess': 5402, 'realm': 5403, 'lip': 5404, 'bike': 5405, 'pages': 5406, 'morbid': 5407, 'screens': 5408, 'bitch': 5409, 'bow': 5410, 'fade': 5411, 'outs': 5412, 'rejected': 5413, 'deserted': 5414, 'admirable': 5415, 'suspension': 5416, 'martha': 5417, 'youngest': 5418, 'refer': 5419, 'patricia': 5420, 'gambling': 5421, 'labor': 5422, 'abrupt': 5423, 'meg': 5424, 'chainsaw': 5425, 'darn': 5426, 'challenges': 5427, 'betrayal': 5428, 'glowing': 5429, 'jews': 5430, 'daniels': 5431, 'recommendation': 5432, 'insurance': 5433, 'lush': 5434, 'respective': 5435, 'nod': 5436, 'corpses': 5437, 'renaissance': 5438, 'affection': 5439, 'backs': 5440, 'historic': 5441, 'chuckle': 5442, 'coaster': 5443, 'minister': 5444, 'gillian': 5445, 'severely': 5446, 'bronson': 5447, 'christine': 5448, 'gina': 5449, 'muppet': 5450, 'brendan': 5451, 'peck': 5452, 'kline': 5453, 'kitty': 5454, 'preminger': 5455, 'deleted': 5456, 'guests': 5457, 'hyped': 5458, 'filler': 5459, 'invited': 5460, 'hammy': 5461, 'guaranteed': 5462, 'indication': 5463, 'shares': 5464, 'tail': 5465, 'lester': 5466, 'lois': 5467, 'reluctant': 5468, 'ta': 5469, 'evidently': 5470, 'sassy': 5471, 'mayhem': 5472, 'anticipation': 5473, 'fist': 5474, 'underworld': 5475, 'aim': 5476, 'circus': 5477, 'eternal': 5478, 'disappears': 5479, 'barrel': 5480, 'thread': 5481, 'praised': 5482, 'sooner': 5483, 'inconsistent': 5484, 'artsy': 5485, 'address': 5486, 'conventions': 5487, 'psychology': 5488, 'prejudice': 5489, 'selection': 5490, 'gal': 5491, 'sympathize': 5492, 'farmer': 5493, 'hepburn': 5494, 'rome': 5495, 'kidman': 5496, 'fontaine': 5497, 'wilder': 5498, 'angst': 5499, 'investigating': 5500, 'previews': 5501, 'harmless': 5502, 'weaknesses': 5503, 'outing': 5504, 'steady': 5505, 'bent': 5506, 'beside': 5507, 'overlong': 5508, 'iconic': 5509, 'burst': 5510, 'bros': 5511, 'hack': 5512, 'threatens': 5513, 'misguided': 5514, 'nicolas': 5515, 'www': 5516, 'conveys': 5517, 'acceptance': 5518, 'oldest': 5519, 'venture': 5520, 'reflects': 5521, 'heading': 5522, 'depending': 5523, 'net': 5524, 'tip': 5525, 'drove': 5526, 'popping': 5527, 'snakes': 5528, 'receiving': 5529, 'gut': 5530, 'uh': 5531, 'affairs': 5532, 'cruelty': 5533, 'bully': 5534, 'marvel': 5535, 'fifties': 5536, 'stages': 5537, 'posted': 5538, 'nails': 5539, 'behold': 5540, 'stopping': 5541, 'soup': 5542, 'insipid': 5543, 'reeves': 5544, 'visions': 5545, 'banal': 5546, 'dates': 5547, 'boston': 5548, 'grudge': 5549, 'trivia': 5550, 'cope': 5551, 'housewife': 5552, 'promote': 5553, 'fluff': 5554, 'shades': 5555, 'filth': 5556, 'agency': 5557, 'macho': 5558, 'gere': 5559, 'scorsese': 5560, 'stalker': 5561, 'sox': 5562, 'tenant': 5563, 'muppets': 5564, 'lifted': 5565, 'entitled': 5566, 'hokey': 5567, 'rhythm': 5568, 'completed': 5569, 'exceptions': 5570, 'portrayals': 5571, 'beware': 5572, 'widescreen': 5573, 'cushing': 5574, 'schlock': 5575, 'firing': 5576, 'demonstrates': 5577, 'difficulty': 5578, 'terrified': 5579, 'commander': 5580, 'grainy': 5581, 'disguise': 5582, 'morally': 5583, 'preachy': 5584, 'confident': 5585, 'gear': 5586, 'campaign': 5587, 'obligatory': 5588, 'emerges': 5589, 'remade': 5590, 'studying': 5591, 'records': 5592, 'vein': 5593, 'studies': 5594, 'connections': 5595, 'understands': 5596, 'explores': 5597, 'triple': 5598, 'pole': 5599, 'absorbed': 5600, 'harold': 5601, 'runner': 5602, 'employed': 5603, 'route': 5604, 'yawn': 5605, 'strongest': 5606, 'nolte': 5607, 'ants': 5608, 'naschy': 5609, 'unexplained': 5610, 'cassavetes': 5611, 'locals': 5612, 'denis': 5613, 'alvin': 5614, 'steele': 5615, 'zombi': 5616, 'paintings': 5617, 'sending': 5618, 'clueless': 5619, 'redeem': 5620, 'phenomenon': 5621, 'duck': 5622, 'flashy': 5623, 'hapless': 5624, 'raj': 5625, 'attract': 5626, 'gate': 5627, 'height': 5628, 'zane': 5629, 'recognizable': 5630, 'prominent': 5631, 'vital': 5632, 'repeating': 5633, 'rapist': 5634, 'unrelated': 5635, 'stores': 5636, 'interestingly': 5637, 'assured': 5638, 'ebert': 5639, 'partners': 5640, 'couch': 5641, 'politician': 5642, 'shortcomings': 5643, 'rounded': 5644, 'predict': 5645, 'conclude': 5646, 'casual': 5647, 'despicable': 5648, 'stairs': 5649, 'suitably': 5650, 'legends': 5651, 'someday': 5652, 'bitten': 5653, 'representation': 5654, 'physics': 5655, 'insists': 5656, 'wings': 5657, 'clan': 5658, 'offs': 5659, 'cohen': 5660, 'disgusted': 5661, 'communicate': 5662, 'melody': 5663, 'mentality': 5664, 'recycled': 5665, 'hara': 5666, 'assuming': 5667, 'mothers': 5668, 'slimy': 5669, 'pounds': 5670, 'comparisons': 5671, 'danish': 5672, 'spinal': 5673, 'ariel': 5674, 'champion': 5675, 'mol': 5676, 'norm': 5677, 'elite': 5678, 'inexplicable': 5679, 'ingenious': 5680, 'charms': 5681, 'pleasing': 5682, 'http': 5683, 'phillips': 5684, 'claiming': 5685, 'discussing': 5686, 'mins': 5687, 'screw': 5688, 'timberlake': 5689, 'dylan': 5690, 'heartwarming': 5691, 'marlon': 5692, 'befriends': 5693, 'rendered': 5694, 'defeated': 5695, 'marries': 5696, 'delicate': 5697, 'loretta': 5698, 'gems': 5699, 'shopping': 5700, 'neill': 5701, 'garner': 5702, 'globe': 5703, 'flowers': 5704, 'clad': 5705, 'considerably': 5706, 'shouting': 5707, 'carey': 5708, 'eats': 5709, 'ace': 5710, 'tempted': 5711, 'scoop': 5712, 'forcing': 5713, 'independence': 5714, 'lukas': 5715, 'cookie': 5716, 'kathryn': 5717, 'jordan': 5718, 'phillip': 5719, 'wig': 5720, 'colin': 5721, 'eternity': 5722, 'feeding': 5723, 'genie': 5724, 'limit': 5725, 'vibrant': 5726, 'claustrophobic': 5727, 'info': 5728, 'corbett': 5729, 'corman': 5730, 'tunnel': 5731, 'europa': 5732, 'doctors': 5733, 'guinness': 5734, 'coup': 5735, 'pickford': 5736, 'cher': 5737, 'melissa': 5738, 'bondage': 5739, 'harrison': 5740, 'traffic': 5741, 'ritchie': 5742, 'publicity': 5743, 'deserving': 5744, 'depends': 5745, 'ton': 5746, 'item': 5747, 'wire': 5748, 'glamorous': 5749, 'rope': 5750, 'screwed': 5751, 'inhabitants': 5752, 'sharing': 5753, 'transformed': 5754, 'salt': 5755, 'belt': 5756, 'toronto': 5757, 'camcorder': 5758, 'lift': 5759, 'shaking': 5760, 'bridges': 5761, 'surgery': 5762, 'backwards': 5763, 'incidentally': 5764, 'blatantly': 5765, 'static': 5766, 'claude': 5767, 'organized': 5768, 'strings': 5769, 'georges': 5770, 'symbolic': 5771, 'towers': 5772, 'immature': 5773, 'weather': 5774, 'election': 5775, 'hilarity': 5776, 'mathieu': 5777, 'vanessa': 5778, 'pixar': 5779, 'anton': 5780, 'institution': 5781, 'christie': 5782, 'uma': 5783, 'winchester': 5784, 'wendigo': 5785, 'programs': 5786, 'insightful': 5787, 'schools': 5788, 'departure': 5789, 'outdated': 5790, 'shorter': 5791, 'messy': 5792, 'cheer': 5793, 'punches': 5794, 'casts': 5795, 'centre': 5796, 'bombs': 5797, 'goers': 5798, 'exploring': 5799, 'frames': 5800, 'excess': 5801, 'authorities': 5802, 'threatened': 5803, 'coupled': 5804, 'differently': 5805, 'affleck': 5806, 'partially': 5807, 'oriented': 5808, 'swept': 5809, 'concepts': 5810, 'leather': 5811, 'voted': 5812, 'natives': 5813, 'ambition': 5814, 'stumbles': 5815, 'id': 5816, 'satirical': 5817, 'keen': 5818, 'debate': 5819, 'vocal': 5820, 'minority': 5821, 'smiles': 5822, 'charlton': 5823, 'lasting': 5824, 'spree': 5825, 'audrey': 5826, 'destined': 5827, 'dvds': 5828, 'mermaid': 5829, 'computers': 5830, 'thrilled': 5831, 'alley': 5832, 'nope': 5833, 'feat': 5834, 'dandy': 5835, 'chamberlain': 5836, 'remove': 5837, 'bend': 5838, 'assassination': 5839, 'breakfast': 5840, 'mirrors': 5841, 'knightley': 5842, 'damaged': 5843, 'continually': 5844, 'dudley': 5845, 'disorder': 5846, 'wax': 5847, 'pc': 5848, 'layers': 5849, 'boyer': 5850, 'detectives': 5851, 'gunga': 5852, 'profession': 5853, 'inspire': 5854, 'triangle': 5855, 'neurotic': 5856, 'hides': 5857, 'racing': 5858, 'handles': 5859, 'token': 5860, 'commenting': 5861, 'bates': 5862, 'northern': 5863, 'accurately': 5864, 'trials': 5865, 'mercy': 5866, 'btw': 5867, 'lifeless': 5868, 'formed': 5869, 'suggestion': 5870, 'bars': 5871, 'fifth': 5872, 'hangs': 5873, 'holocaust': 5874, 'landed': 5875, 'mannerisms': 5876, 'hum': 5877, 'preferred': 5878, 'duration': 5879, 'pacific': 5880, 'razor': 5881, 'milo': 5882, 'wanders': 5883, 'natalie': 5884, 'windows': 5885, 'uniformly': 5886, 'newer': 5887, 'proving': 5888, 'sorely': 5889, 'huston': 5890, 'mon': 5891, 'niece': 5892, 'trier': 5893, 'braveheart': 5894, 'bogus': 5895, 'mitch': 5896, 'alexandre': 5897, 'deer': 5898, 'tara': 5899, 'moe': 5900, 'goldsworthy': 5901, 'fishburne': 5902, 'carlito': 5903, 'mutual': 5904, 'ripping': 5905, 'buzz': 5906, 'demanding': 5907, 'hulk': 5908, 'setup': 5909, 'heels': 5910, 'tops': 5911, 'nations': 5912, 'undead': 5913, 'neatly': 5914, 'helpful': 5915, 'bowl': 5916, 'brooding': 5917, 'predecessor': 5918, 'entered': 5919, 'exquisite': 5920, 'cartoonish': 5921, 'insanity': 5922, 'randolph': 5923, 'clara': 5924, 'sleeps': 5925, 'sleaze': 5926, 'gods': 5927, 'wtf': 5928, 'altered': 5929, 'errol': 5930, 'outright': 5931, 'ie': 5932, 'justified': 5933, 'myth': 5934, 'forgiven': 5935, 'speeches': 5936, 'creek': 5937, 'earn': 5938, 'vile': 5939, 'eleven': 5940, 'choosing': 5941, 'arc': 5942, 'dj': 5943, 'healthy': 5944, 'evolution': 5945, 'biblical': 5946, 'elevator': 5947, 'jared': 5948, 'obtain': 5949, 'cbs': 5950, 'sincerely': 5951, 'engrossing': 5952, 'audition': 5953, 'conrad': 5954, 'rear': 5955, 'demonic': 5956, 'refuse': 5957, 'armstrong': 5958, 'firmly': 5959, 'reliable': 5960, 'seeming': 5961, 'skit': 5962, 'spies': 5963, 'tapes': 5964, 'kazan': 5965, 'gilliam': 5966, 'lex': 5967, 'disastrous': 5968, 'liu': 5969, 'containing': 5970, 'nina': 5971, 'einstein': 5972, 'evelyn': 5973, 'mcqueen': 5974, 'contempt': 5975, 'highway': 5976, 'topics': 5977, 'guards': 5978, 'boris': 5979, 'emerge': 5980, 'dim': 5981, 'shell': 5982, 'cerebral': 5983, 'miniseries': 5984, 'sometime': 5985, 'crossing': 5986, 'poker': 5987, 'realities': 5988, 'kent': 5989, 'owners': 5990, 'regards': 5991, 'carmen': 5992, 'approaches': 5993, 'akin': 5994, 'restrained': 5995, 'stare': 5996, 'artwork': 5997, 'destroys': 5998, 'frontal': 5999, 'label': 6000, 'mason': 6001, 'startling': 6002, 'ol': 6003, 'injured': 6004, 'leaders': 6005, 'describing': 6006, 'error': 6007, 'goldblum': 6008, 'educated': 6009, 'statue': 6010, 'disgrace': 6011, 'bsg': 6012, 'helpless': 6013, 'mixing': 6014, 'hats': 6015, 'casino': 6016, 'grateful': 6017, 'cons': 6018, 'homicide': 6019, 'tower': 6020, 'truman': 6021, 'deny': 6022, 'rampage': 6023, 'addict': 6024, 'lampoon': 6025, 'shaped': 6026, 'rooting': 6027, 'critique': 6028, 'seedy': 6029, 'mesmerizing': 6030, 'sergeant': 6031, 'insights': 6032, 'preparing': 6033, 'radical': 6034, 'candidate': 6035, 'gable': 6036, 'potter': 6037, 'boasts': 6038, 'activity': 6039, 'survives': 6040, 'luis': 6041, 'walt': 6042, 'shepherd': 6043, 'bloom': 6044, 'judd': 6045, 'bachelor': 6046, 'paula': 6047, 'subtly': 6048, 'vain': 6049, 'deliverance': 6050, 'cemetery': 6051, 'antonio': 6052, 'joker': 6053, 'salman': 6054, 'conan': 6055, 'capote': 6056, 'exploits': 6057, 'affects': 6058, 'lauren': 6059, 'lean': 6060, 'unlikeable': 6061, 'rapidly': 6062, 'washed': 6063, 'cinemas': 6064, 'gimmick': 6065, 'owes': 6066, 'relentless': 6067, 'votes': 6068, 'banter': 6069, 'terminator': 6070, 'masterfully': 6071, 'photographs': 6072, 'hers': 6073, 'applaud': 6074, 'grounds': 6075, 'freeze': 6076, 'compete': 6077, 'dazzling': 6078, 'jacket': 6079, 'sg': 6080, 'disgust': 6081, 'hugely': 6082, 'wardrobe': 6083, 'located': 6084, 'thirties': 6085, 'bravo': 6086, 'crashes': 6087, 'mum': 6088, 'disguised': 6089, 'advertised': 6090, 'homes': 6091, 'giants': 6092, 'wrenching': 6093, 'linear': 6094, 'vastly': 6095, 'refers': 6096, 'contribution': 6097, 'repulsive': 6098, 'dubious': 6099, 'growth': 6100, 'narrow': 6101, 'scariest': 6102, 'weaker': 6103, 'bach': 6104, 'las': 6105, 'inspirational': 6106, 'nominations': 6107, 'puppets': 6108, 'internal': 6109, 'ingrid': 6110, 'jill': 6111, 'scarface': 6112, 'tokyo': 6113, 'corporation': 6114, 'modest': 6115, 'jedi': 6116, 'miami': 6117, 'des': 6118, 'caricature': 6119, 'masterson': 6120, 'cain': 6121, 'origin': 6122, 'coat': 6123, 'rides': 6124, 'monty': 6125, 'bulk': 6126, 'hackman': 6127, 'thunderbirds': 6128, 'reeve': 6129, 'hi': 6130, 'corn': 6131, 'youthful': 6132, 'se': 6133, 'origins': 6134, 'homosexuality': 6135, 'motive': 6136, 'headache': 6137, 'vehicles': 6138, 'natured': 6139, 'detract': 6140, 'hires': 6141, 'reward': 6142, 'males': 6143, 'butcher': 6144, 'insults': 6145, 'missile': 6146, 'expertly': 6147, 'strengths': 6148, 'gained': 6149, 'decline': 6150, 'arab': 6151, 'standout': 6152, 'galaxy': 6153, 'unsuspecting': 6154, 'convinces': 6155, 'abruptly': 6156, 'mates': 6157, 'dread': 6158, 'swallow': 6159, 'christina': 6160, 'ally': 6161, 'authenticity': 6162, 'continuing': 6163, 'sniper': 6164, 'spine': 6165, 'bones': 6166, 'factors': 6167, 'perception': 6168, 'limitations': 6169, 'stunningly': 6170, 'excellently': 6171, 'undeniably': 6172, 'unsure': 6173, 'chronicles': 6174, 'damned': 6175, 'screenwriters': 6176, 'harlow': 6177, 'convicted': 6178, 'sophie': 6179, 'lasts': 6180, 'cecil': 6181, 'youtube': 6182, 'macabre': 6183, 'sale': 6184, 'gates': 6185, 'scifi': 6186, 'casper': 6187, 'inaccurate': 6188, 'wonderland': 6189, 'cents': 6190, 'mabel': 6191, 'painter': 6192, 'porter': 6193, 'underwear': 6194, 'amrita': 6195, 'crosby': 6196, 'parsons': 6197, 'mitchum': 6198, 'soylent': 6199, 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'pirate': 6259, 'jarring': 6260, 'published': 6261, 'unattractive': 6262, 'span': 6263, 'lennon': 6264, 'witchcraft': 6265, 'vividly': 6266, 'mutant': 6267, 'enhanced': 6268, 'confronted': 6269, 'delicious': 6270, 'magician': 6271, 'wander': 6272, 'salvation': 6273, 'accessible': 6274, 'promptly': 6275, 'mice': 6276, 'kinnear': 6277, 'slide': 6278, 'fatale': 6279, 'servants': 6280, 'entirety': 6281, 'garland': 6282, 'stardom': 6283, 'ronald': 6284, 'cheadle': 6285, 'gypo': 6286, 'yokai': 6287, 'dilemma': 6288, 'yours': 6289, 'bubble': 6290, 'estranged': 6291, 'sized': 6292, 'scratch': 6293, 'wounds': 6294, 'senior': 6295, 'dismal': 6296, 'assembled': 6297, 'hindi': 6298, 'separated': 6299, 'depths': 6300, 'characteristics': 6301, 'victorian': 6302, 'cleaning': 6303, 'approaching': 6304, 'devastating': 6305, 'asia': 6306, 'exorcist': 6307, 'exit': 6308, 'butch': 6309, 'readers': 6310, 'snuff': 6311, 'cyborg': 6312, 'pale': 6313, 'blooded': 6314, 'races': 6315, 'habit': 6316, 'stranded': 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'delighted': 6552, 'distract': 6553, 'goals': 6554, 'aggressive': 6555, 'taboo': 6556, 'cliffhanger': 6557, 'intentional': 6558, 'sarcastic': 6559, 'arguments': 6560, 'niven': 6561, 'longoria': 6562, 'ricky': 6563, 'remembering': 6564, 'peaceful': 6565, 'aided': 6566, 'august': 6567, 'jewel': 6568, 'salesman': 6569, 'jury': 6570, 'horny': 6571, 'swearing': 6572, 'indiana': 6573, 'comprehend': 6574, 'dame': 6575, 'havoc': 6576, 'incorrect': 6577, 'adaption': 6578, 'morals': 6579, 'tourist': 6580, 'daisy': 6581, 'overblown': 6582, 'immense': 6583, 'fassbinder': 6584, 'suspected': 6585, 'fairbanks': 6586, 'stella': 6587, 'parallels': 6588, 'herman': 6589, 'grandma': 6590, 'stones': 6591, 'juliette': 6592, 'inmates': 6593, 'obsessive': 6594, 'liam': 6595, 'hadley': 6596, 'hannah': 6597, 'vanilla': 6598, 'switched': 6599, 'chill': 6600, 'vince': 6601, 'taped': 6602, 'cutter': 6603, 'deputy': 6604, 'bounty': 6605, 'establishment': 6606, 'arquette': 6607, 'jenna': 6608, 'ghetto': 6609, 'wine': 6610, 'hybrid': 6611, 'establishing': 6612, 'consideration': 6613, 'angie': 6614, 'insomnia': 6615, 'tolerable': 6616, 'mouthed': 6617, 'approached': 6618, 'alleged': 6619, 'didnt': 6620, 'collective': 6621, 'lethal': 6622, 'peculiar': 6623, 'gilbert': 6624, 'subtext': 6625, 'commitment': 6626, 'distress': 6627, 'graveyard': 6628, 'shift': 6629, 'alter': 6630, 'cultures': 6631, 'fills': 6632, 'lang': 6633, 'begging': 6634, 'routines': 6635, 'carnage': 6636, 'adrian': 6637, 'demonstrated': 6638, 'afterward': 6639, 'lavish': 6640, 'virtual': 6641, 'arrest': 6642, 'define': 6643, 'traits': 6644, 'hyper': 6645, 'trace': 6646, 'jolie': 6647, 'apply': 6648, 'shootout': 6649, 'admired': 6650, 'bogart': 6651, 'polish': 6652, 'predictably': 6653, 'jersey': 6654, 'puzzle': 6655, 'redundant': 6656, 'stream': 6657, 'spice': 6658, 'climb': 6659, 'goodbye': 6660, 'boiled': 6661, 'exploding': 6662, 'aiming': 6663, 'slaves': 6664, 'psychologist': 6665, 'realization': 6666, 'thelma': 6667, 'avoiding': 6668, 'fascist': 6669, 'optimistic': 6670, 'backed': 6671, 'canceled': 6672, 'dumber': 6673, 'demille': 6674, 'overboard': 6675, 'morons': 6676, 'rebellious': 6677, 'wielding': 6678, 'rivers': 6679, 'sixth': 6680, 'ae': 6681, 'herbert': 6682, 'clive': 6683, 'papers': 6684, 'passage': 6685, 'korea': 6686, 'rowlands': 6687, 'mystical': 6688, 'jacques': 6689, 'arranged': 6690, 'serum': 6691, 'dramatically': 6692, 'brainless': 6693, 'schneider': 6694, 'mormon': 6695, 'debbie': 6696, 'clooney': 6697, 'sarandon': 6698, 'slugs': 6699, 'vega': 6700, 'gielgud': 6701, 'chiba': 6702, 'smash': 6703, 'reviewed': 6704, 'arriving': 6705, 'achieves': 6706, 'skinny': 6707, 'hateful': 6708, 'tuned': 6709, 'fools': 6710, 'remembers': 6711, 'kathy': 6712, 'commits': 6713, 'horrified': 6714, 'exploited': 6715, 'consciousness': 6716, 'settled': 6717, 'courtroom': 6718, 'mentor': 6719, 'shoe': 6720, 'respects': 6721, 'phenomenal': 6722, 'olds': 6723, 'enhance': 6724, 'borders': 6725, 'puppy': 6726, 'document': 6727, 'mythology': 6728, 'populated': 6729, 'wiped': 6730, 'explodes': 6731, 'pad': 6732, 'scored': 6733, 'newcomer': 6734, 'sources': 6735, 'seasoned': 6736, 'anytime': 6737, 'leap': 6738, 'crosses': 6739, 'sickening': 6740, 'poses': 6741, 'marilyn': 6742, 'verdict': 6743, 'sammo': 6744, 'diverse': 6745, 'insist': 6746, 'monologue': 6747, 'relentlessly': 6748, 'pirates': 6749, 'upside': 6750, 'slapped': 6751, 'contributed': 6752, 'mouths': 6753, 'sang': 6754, 'lunch': 6755, 'ritual': 6756, 'feminine': 6757, 'wheel': 6758, 'cuban': 6759, 'strict': 6760, 'duel': 6761, 'excuses': 6762, 'madsen': 6763, 'whites': 6764, 'sunrise': 6765, 'sht': 6766, 'verbal': 6767, 'distraction': 6768, 'medieval': 6769, 'vanity': 6770, 'iturbi': 6771, 'pedestrian': 6772, 'acquired': 6773, 'python': 6774, 'trains': 6775, 'freaking': 6776, 'arkin': 6777, 'skilled': 6778, 'gibson': 6779, 'rea': 6780, 'anthology': 6781, 'georgia': 6782, 'elliott': 6783, 'dahmer': 6784, 'gershwin': 6785, 'update': 6786, 'haines': 6787, 'chong': 6788, 'colman': 6789, 'hooper': 6790, 'lionel': 6791, 'owl': 6792, 'mole': 6793, 'sailor': 6794, 'unsympathetic': 6795, 'pathos': 6796, 'denise': 6797, 'sheen': 6798, 'sundance': 6799, 'symbol': 6800, 'hoot': 6801, 'phase': 6802, 'meantime': 6803, 'controlling': 6804, 'defies': 6805, 'lowe': 6806, 'introducing': 6807, 'employee': 6808, 'attending': 6809, 'satisfaction': 6810, 'circles': 6811, 'drab': 6812, 'shockingly': 6813, 'encountered': 6814, 'ranch': 6815, 'awakening': 6816, 'pfeiffer': 6817, 'olivia': 6818, 'hooker': 6819, 'motorcycle': 6820, 'amidst': 6821, 'professionals': 6822, 'posing': 6823, 'themed': 6824, 'immigrant': 6825, 'tactics': 6826, 'foundation': 6827, 'readily': 6828, 'covering': 6829, 'romances': 6830, 'wash': 6831, 'sells': 6832, 'explosive': 6833, 'pushes': 6834, 'possesses': 6835, 'serials': 6836, 'coke': 6837, 'ira': 6838, 'deliciously': 6839, 'mysteriously': 6840, 'contestants': 6841, 'meal': 6842, 'forties': 6843, 'flower': 6844, 'invention': 6845, 'cliched': 6846, 'mortal': 6847, 'delightfully': 6848, 'mute': 6849, 'keys': 6850, 'vomit': 6851, 'guinea': 6852, 'novelty': 6853, 'regularly': 6854, 'instincts': 6855, 'seductive': 6856, 'psyche': 6857, 'bonnie': 6858, 'cigarette': 6859, 'cooking': 6860, 'doyle': 6861, 'flavor': 6862, 'legitimate': 6863, 'suggesting': 6864, 'lucille': 6865, 'feeble': 6866, 'penelope': 6867, 'expense': 6868, 'nun': 6869, 'planes': 6870, 'nuances': 6871, 'republic': 6872, 'clerk': 6873, 'fluid': 6874, 'beckinsale': 6875, 'cannes': 6876, 'dynamics': 6877, 'policy': 6878, 'wheelchair': 6879, 'weary': 6880, 'fried': 6881, 'gooding': 6882, 'possession': 6883, 'diary': 6884, 'predator': 6885, 'moss': 6886, 'dillinger': 6887, 'flock': 6888, 'israeli': 6889, 'otto': 6890, 'martian': 6891, 'laputa': 6892, 'fallon': 6893, 'deciding': 6894, 'truths': 6895, 'produces': 6896, 'noteworthy': 6897, 'rosario': 6898, 'auto': 6899, 'fanatic': 6900, 'forgetting': 6901, 'dumped': 6902, 'admitted': 6903, 'inaccuracies': 6904, 'narrated': 6905, 'gloria': 6906, 'stern': 6907, 'um': 6908, 'void': 6909, 'shifts': 6910, 'deed': 6911, 'intact': 6912, 'fuzzy': 6913, 'tho': 6914, 'wider': 6915, 'columbia': 6916, 'biker': 6917, 'arrow': 6918, 'rapid': 6919, 'economic': 6920, 'steer': 6921, 'shah': 6922, 'lends': 6923, 'viewpoint': 6924, 'motions': 6925, 'instances': 6926, 'followers': 6927, 'consist': 6928, 'cameraman': 6929, 'neglected': 6930, 'excruciating': 6931, 'agony': 6932, 'parking': 6933, 'anxious': 6934, 'swinging': 6935, 'darth': 6936, 'wastes': 6937, 'pros': 6938, 'july': 6939, 'degrees': 6940, 'centuries': 6941, 'assignment': 6942, 'screwball': 6943, 'abandon': 6944, 'statements': 6945, 'tickets': 6946, 'alot': 6947, 'releasing': 6948, 'aftermath': 6949, 'frog': 6950, 'goldie': 6951, 'arty': 6952, 'pursued': 6953, 'tcm': 6954, 'ordeal': 6955, 'indifferent': 6956, 'unusually': 6957, 'juan': 6958, 'discussed': 6959, 'attended': 6960, 'embarrassingly': 6961, 'convention': 6962, 'medicine': 6963, 'beg': 6964, 'detroit': 6965, 'gwyneth': 6966, 'vera': 6967, 'cindy': 6968, 'targets': 6969, 'products': 6970, 'reverse': 6971, 'starters': 6972, 'additionally': 6973, 'dumbest': 6974, 'idol': 6975, 'debra': 6976, 'kris': 6977, 'meteor': 6978, 'sondra': 6979, 'tomei': 6980, 'creasy': 6981, 'sided': 6982, 'daylight': 6983, 'slim': 6984, 'factual': 6985, 'stabbed': 6986, 'pains': 6987, 'ambitions': 6988, 'wayans': 6989, 'edison': 6990, 'abound': 6991, 'criticize': 6992, 'informative': 6993, 'distracted': 6994, 'compliment': 6995, 'sarcasm': 6996, 'edith': 6997, 'goodman': 6998, 'cycle': 6999, 'click': 7000, 'flames': 7001, 'unanswered': 7002, 'indicate': 7003, 'begun': 7004, 'breast': 7005, 'frantic': 7006, 'muslims': 7007, 'mick': 7008, 'trigger': 7009, 'scripting': 7010, 'invite': 7011, 'misunderstood': 7012, 'ny': 7013, 'casablanca': 7014, 'tomb': 7015, 'soprano': 7016, 'originals': 7017, 'intro': 7018, 'inclusion': 7019, 'warns': 7020, 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7080, 'blamed': 7081, 'frances': 7082, 'frozen': 7083, 'gap': 7084, 'realistically': 7085, 'denouement': 7086, 'mock': 7087, 'rambling': 7088, 'depictions': 7089, 'seats': 7090, 'hayes': 7091, 'festivals': 7092, 'coma': 7093, 'uniforms': 7094, 'cow': 7095, 'determination': 7096, 'robbers': 7097, 'county': 7098, 'bosses': 7099, 'grabbed': 7100, 'stink': 7101, 'murky': 7102, 'envy': 7103, 'relating': 7104, 'destination': 7105, 'antagonist': 7106, 'sly': 7107, 'brat': 7108, 'generate': 7109, 'investigator': 7110, 'apt': 7111, 'therapy': 7112, 'protest': 7113, 'translate': 7114, 'duh': 7115, 'hmmm': 7116, 'chamber': 7117, 'pen': 7118, 'stance': 7119, 'pans': 7120, 'paranoid': 7121, 'momentum': 7122, 'playwright': 7123, 'exclusively': 7124, 'sterling': 7125, 'alliance': 7126, 'mccarthy': 7127, 'replies': 7128, 'pointing': 7129, 'convict': 7130, 'saloon': 7131, 'enchanted': 7132, 'geisha': 7133, 'dreamy': 7134, 'intensely': 7135, 'consequence': 7136, 'varied': 7137, 'surroundings': 7138, 'sweat': 7139, 'schedule': 7140, 'iranian': 7141, 'mandy': 7142, 'delirious': 7143, 'collins': 7144, 'combs': 7145, 'foil': 7146, 'stalked': 7147, 'rips': 7148, 'heath': 7149, 'fellini': 7150, 'eagerly': 7151, 'shore': 7152, 'abortion': 7153, 'paints': 7154, 'uncanny': 7155, 'apple': 7156, 'redneck': 7157, 'johansson': 7158, 'stiles': 7159, 'reiser': 7160, 'stardust': 7161, 'vonnegut': 7162, 'beckham': 7163, 'dafoe': 7164, 'lurking': 7165, 'parrot': 7166, 'replacement': 7167, 'burnt': 7168, 'services': 7169, 'gaps': 7170, 'necessity': 7171, 'shotgun': 7172, 'lastly': 7173, 'midst': 7174, 'scenarios': 7175, 'gigantic': 7176, 'isabelle': 7177, 'diner': 7178, 'collector': 7179, 'veterans': 7180, 'paths': 7181, 'talky': 7182, 'awareness': 7183, 'quasi': 7184, 'politicians': 7185, 'glimpses': 7186, 'rounds': 7187, 'participants': 7188, 'bennett': 7189, 'overs': 7190, 'ignoring': 7191, 'periods': 7192, 'capacity': 7193, 'communication': 7194, 'randall': 7195, 'sunset': 7196, 'comeback': 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'sparks': 7317, 'epics': 7318, 'vignettes': 7319, 'marisa': 7320, 'bearing': 7321, 'ferrell': 7322, 'characterizations': 7323, 'maintains': 7324, 'massey': 7325, 'rodriguez': 7326, 'girlfriends': 7327, 'pressed': 7328, 'sufficient': 7329, 'jude': 7330, 'convent': 7331, 'jagger': 7332, 'laboratory': 7333, 'applies': 7334, 'benjamin': 7335, 'gloomy': 7336, 'offend': 7337, 'reflected': 7338, 'existing': 7339, 'extensive': 7340, 'rolls': 7341, 'incest': 7342, 'prophecy': 7343, 'ignores': 7344, 'stake': 7345, 'brent': 7346, 'watcher': 7347, 'cena': 7348, 'dynamite': 7349, 'hostage': 7350, 'biopic': 7351, 'hating': 7352, 'locke': 7353, 'je': 7354, 'blandings': 7355, 'silverman': 7356, 'stadium': 7357, 'unstable': 7358, 'revival': 7359, 'homicidal': 7360, 'diego': 7361, 'anita': 7362, 'kristofferson': 7363, 'evans': 7364, 'martino': 7365, 'kells': 7366, 'olsen': 7367, 'shin': 7368, 'hines': 7369, 'shahid': 7370, 'aaron': 7371, 'grendel': 7372, 'ajay': 7373, 'orchestra': 7374, 'interior': 7375, 'fart': 7376, 'caretaker': 7377, 'mannered': 7378, 'observation': 7379, 'doug': 7380, 'clunky': 7381, 'stereotyped': 7382, 'fortunate': 7383, 'skeptical': 7384, 'witnessing': 7385, 'sour': 7386, 'nauseating': 7387, 'observe': 7388, 'invested': 7389, 'disco': 7390, 'repeats': 7391, 'rebels': 7392, 'profile': 7393, 'protection': 7394, 'excellence': 7395, 'plate': 7396, 'interviewed': 7397, 'acknowledge': 7398, 'beard': 7399, 'visitor': 7400, 'reunite': 7401, 'weekly': 7402, 'tire': 7403, 'outlandish': 7404, 'bernsen': 7405, 'marcel': 7406, 'marked': 7407, 'bonanza': 7408, 'flag': 7409, 'announced': 7410, 'courtesy': 7411, 'valid': 7412, 'boundaries': 7413, 'thailand': 7414, 'stations': 7415, 'baddies': 7416, 'versa': 7417, 'enchanting': 7418, 'murderers': 7419, 'nutshell': 7420, 'reserved': 7421, 'relying': 7422, 'exploitative': 7423, 'controls': 7424, 'divided': 7425, 'observations': 7426, 'organization': 7427, 'favourites': 7428, 'peril': 7429, 'pose': 7430, 'resolve': 7431, 'drowned': 7432, 'diversity': 7433, 'turkish': 7434, 'madeleine': 7435, 'collar': 7436, 'boo': 7437, 'sheets': 7438, 'coward': 7439, 'engine': 7440, 'boots': 7441, 'marine': 7442, 'choir': 7443, 'interpretations': 7444, 'maximum': 7445, 'vivian': 7446, 'novelist': 7447, 'merry': 7448, 'unfolding': 7449, 'slower': 7450, 'gorilla': 7451, 'turtle': 7452, 'aime': 7453, 'mash': 7454, 'pornography': 7455, 'bias': 7456, 'stabbing': 7457, 'assure': 7458, 'interrupted': 7459, 'russ': 7460, 'questioning': 7461, 'frost': 7462, 'array': 7463, 'candle': 7464, 'rourke': 7465, 'carlos': 7466, 'boogie': 7467, 'upstairs': 7468, 'phantasm': 7469, 'artemisia': 7470, 'gannon': 7471, 'brashear': 7472, 'unnatural': 7473, 'blazing': 7474, 'ripoff': 7475, 'harrowing': 7476, 'evokes': 7477, 'monotonous': 7478, 'tones': 7479, 'commendable': 7480, 'chuckles': 7481, 'customers': 7482, 'landmark': 7483, 'spotlight': 7484, 'wrestler': 7485, 'fundamental': 7486, 'finishes': 7487, 'famed': 7488, 'arrogance': 7489, 'enduring': 7490, 'insert': 7491, 'manipulation': 7492, 'rightly': 7493, 'villainous': 7494, 'magically': 7495, 'substitute': 7496, 'trivial': 7497, 'sheep': 7498, 'similarity': 7499, 'thrust': 7500, 'shocks': 7501, 'chandler': 7502, 'deemed': 7503, 'entries': 7504, 'thunder': 7505, 'progressed': 7506, 'samuel': 7507, 'smug': 7508, 'cocaine': 7509, 'wartime': 7510, 'chew': 7511, 'seduce': 7512, 'sholay': 7513, 'chewing': 7514, 'displaying': 7515, 'peggy': 7516, 'sara': 7517, 'palm': 7518, 'strung': 7519, 'obscurity': 7520, 'criticized': 7521, 'climbing': 7522, 'madison': 7523, 'ursula': 7524, 'needing': 7525, 'chaotic': 7526, 'colleague': 7527, 'counting': 7528, 'bittersweet': 7529, 'spade': 7530, 'crushed': 7531, 'understatement': 7532, 'thereby': 7533, 'vargas': 7534, 'confined': 7535, 'slavery': 7536, 'waking': 7537, 'nora': 7538, 'admits': 7539, 'inter': 7540, 'commanding': 7541, 'sincerity': 7542, 'conductor': 7543, 'ninety': 7544, 'bonham': 7545, 'satanic': 7546, 'sanity': 7547, 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'unfamiliar': 7605, 'goings': 7606, 'deeds': 7607, 'voodoo': 7608, 'protective': 7609, 'herd': 7610, 'zodiac': 7611, 'perverted': 7612, 'takashi': 7613, 'finishing': 7614, 'testing': 7615, 'eagle': 7616, 'segal': 7617, 'egyptian': 7618, 'seattle': 7619, 'rendering': 7620, 'pizza': 7621, 'spoiling': 7622, 'remark': 7623, 'wholesome': 7624, 'cancelled': 7625, 'hardened': 7626, 'convenient': 7627, 'chip': 7628, 'barker': 7629, 'dallas': 7630, 'fetish': 7631, 'scarlett': 7632, 'charges': 7633, 'transparent': 7634, 'filmography': 7635, 'participate': 7636, 'elsa': 7637, 'howling': 7638, 'belle': 7639, 'sylvia': 7640, 'shameless': 7641, 'krueger': 7642, 'camping': 7643, 'dangerously': 7644, 'discipline': 7645, 'quintessential': 7646, 'tits': 7647, 'aesthetic': 7648, 'yell': 7649, 'file': 7650, 'cheerful': 7651, 'burial': 7652, 'forgets': 7653, 'sitcoms': 7654, 'chloe': 7655, 'subsequently': 7656, 'myrna': 7657, 'achievements': 7658, 'clarity': 7659, 'traumatic': 7660, 'kaufman': 7661, 'liotta': 7662, 'beers': 7663, 'jo': 7664, 'understandably': 7665, 'layered': 7666, 'castro': 7667, 'incestuous': 7668, 'seth': 7669, 'accompanying': 7670, 'district': 7671, 'tide': 7672, 'suzanne': 7673, 'sophia': 7674, 'bert': 7675, 'stuffed': 7676, 'hugo': 7677, 'ram': 7678, 'crooks': 7679, 'despise': 7680, 'dreyfuss': 7681, 'laying': 7682, 'lara': 7683, 'redford': 7684, 'bean': 7685, 'caprica': 7686, 'harron': 7687, 'hobgoblins': 7688, 'serbian': 7689, 'deathtrap': 7690, 'sack': 7691, 'warehouse': 7692, 'captivated': 7693, 'fraud': 7694, 'restraint': 7695, 'faded': 7696, 'drift': 7697, 'cells': 7698, 'practical': 7699, 'pee': 7700, 'surround': 7701, 'sunk': 7702, 'salvage': 7703, 'monks': 7704, 'ruled': 7705, 'sexist': 7706, 'gangs': 7707, 'abundance': 7708, 'grandpa': 7709, 'fades': 7710, 'admission': 7711, 'proceed': 7712, 'verge': 7713, 'coolest': 7714, 'shameful': 7715, 'hallmark': 7716, 'awry': 7717, 'semblance': 7718, 'grin': 7719, 'raid': 7720, 'admirer': 7721, 'temper': 7722, 'hunted': 7723, 'implies': 7724, 'flashing': 7725, 'tools': 7726, 'fires': 7727, 'desk': 7728, 'defining': 7729, 'earliest': 7730, 'orphan': 7731, 'constraints': 7732, 'monica': 7733, 'inserted': 7734, 'unnecessarily': 7735, 'taut': 7736, 'miraculously': 7737, 'juice': 7738, 'relaxed': 7739, 'betrayed': 7740, 'excels': 7741, 'distributed': 7742, 'prop': 7743, 'flip': 7744, 'oblivious': 7745, 'rampant': 7746, 'runaway': 7747, 'flows': 7748, 'sickness': 7749, 'rebellion': 7750, 'infinitely': 7751, 'dragging': 7752, 'whimsical': 7753, 'monroe': 7754, 'booth': 7755, 'cheering': 7756, 'almighty': 7757, 'facility': 7758, 'creations': 7759, 'mamet': 7760, 'letdown': 7761, 'kindly': 7762, 'drowning': 7763, 'affecting': 7764, 'conclusions': 7765, 'melancholy': 7766, 'imho': 7767, 'sales': 7768, 'slut': 7769, 'faye': 7770, 'espionage': 7771, 'license': 7772, 'ideals': 7773, 'regime': 7774, 'ernest': 7775, 'cracks': 7776, 'ealing': 7777, 'joint': 7778, 'titular': 7779, 'babes': 7780, 'byron': 7781, 'tess': 7782, 'kinski': 7783, 'busby': 7784, 'digging': 7785, 'shannon': 7786, 'henchmen': 7787, 'gena': 7788, 'pm': 7789, 'raunchy': 7790, 'bronte': 7791, 'preacher': 7792, 'beforehand': 7793, 'considers': 7794, 'philo': 7795, 'unconventional': 7796, 'summed': 7797, 'sheridan': 7798, 'holt': 7799, 'annoy': 7800, 'wesley': 7801, 'pornographic': 7802, 'oprah': 7803, 'han': 7804, 'fritz': 7805, 'pia': 7806, 'depardieu': 7807, 'polar': 7808, 'gypsy': 7809, 'val': 7810, 'informer': 7811, 'meadows': 7812, 'bloodbath': 7813, 'melbourne': 7814, 'lubitsch': 7815, 'senator': 7816, 'redgrave': 7817, 'jabba': 7818, 'fashions': 7819, 'fiend': 7820, 'demeanor': 7821, 'permanent': 7822, 'reject': 7823, 'meek': 7824, 'criticisms': 7825, 'engineer': 7826, 'outrageously': 7827, 'caper': 7828, 'complained': 7829, 'liner': 7830, 'hometown': 7831, 'unleashed': 7832, 'norton': 7833, 'bout': 7834, 'encouraged': 7835, 'uneasy': 7836, 'payne': 7837, 'grease': 7838, 'travolta': 7839, 'switching': 7840, 'ensue': 7841, 'adapt': 7842, 'dominate': 7843, 'sporting': 7844, 'clouds': 7845, 'borrow': 7846, 'detached': 7847, 'aniston': 7848, 'assistance': 7849, 'faint': 7850, 'ghostly': 7851, 'plug': 7852, 'inclined': 7853, 'snap': 7854, 'fodder': 7855, 'screened': 7856, 'committing': 7857, 'assumes': 7858, 'seuss': 7859, 'irritated': 7860, 'censorship': 7861, 'theodore': 7862, 'mister': 7863, 'superstar': 7864, 'heap': 7865, 'programme': 7866, 'remainder': 7867, 'awaiting': 7868, 'vapid': 7869, 'robotic': 7870, 'ambiance': 7871, 'ghastly': 7872, 'motivated': 7873, 'deepest': 7874, 'joining': 7875, 'pitched': 7876, 'sh': 7877, 'egypt': 7878, 'mart': 7879, 'robbed': 7880, 'overtones': 7881, 'shirts': 7882, 'presidential': 7883, 'mud': 7884, 'luc': 7885, 'quaint': 7886, 'openly': 7887, 'wherever': 7888, 'evoke': 7889, 'blondell': 7890, 'sane': 7891, 'lindy': 7892, 'listened': 7893, 'spiral': 7894, 'occupied': 7895, 'searched': 7896, 'rivals': 7897, 'pursuing': 7898, 'edmund': 7899, 'battlefield': 7900, 'sucking': 7901, 'upbeat': 7902, 'failures': 7903, 'variation': 7904, 'lil': 7905, 'alarm': 7906, 'croc': 7907, 'hes': 7908, 'madman': 7909, 'sixteen': 7910, 'avoids': 7911, 'gretchen': 7912, 'toxic': 7913, 'englund': 7914, 'networks': 7915, 'compensate': 7916, 'automatic': 7917, 'colony': 7918, 'radiation': 7919, 'buffy': 7920, 'marvin': 7921, 'crowe': 7922, 'chops': 7923, 'zelah': 7924, 'pauline': 7925, 'spaceship': 7926, 'gandolfini': 7927, 'paycheck': 7928, 'cloak': 7929, 'benny': 7930, 'underdeveloped': 7931, 'solved': 7932, 'circa': 7933, 'shrek': 7934, 'coop': 7935, 'sergio': 7936, 'intend': 7937, 'martians': 7938, 'submarine': 7939, 'dictator': 7940, 'macmurray': 7941, 'dunst': 7942, 'arnie': 7943, 'vcr': 7944, 'dwight': 7945, 'cheech': 7946, 'forrest': 7947, 'scratching': 7948, 'surf': 7949, 'mega': 7950, 'awarded': 7951, 'policemen': 7952, 'deck': 7953, 'fairness': 7954, 'experts': 7955, 'distinction': 7956, 'dante': 7957, 'prologue': 7958, 'progression': 7959, 'darkly': 7960, 'abomination': 7961, 'pretends': 7962, 'connie': 7963, 'helmet': 7964, 'surrender': 7965, 'happenings': 7966, 'atrocity': 7967, 'wu': 7968, 'electronic': 7969, 'midget': 7970, 'revolver': 7971, 'garage': 7972, 'vincenzo': 7973, 'mediocrity': 7974, 'nineties': 7975, 'idealistic': 7976, 'transport': 7977, 'defending': 7978, 'poet': 7979, 'bodyguard': 7980, 'britney': 7981, 'drum': 7982, 'gig': 7983, 'flowing': 7984, 'cassie': 7985, 'impending': 7986, 'sensual': 7987, 'prone': 7988, 'peckinpah': 7989, 'ninjas': 7990, 'whip': 7991, 'data': 7992, 'pigs': 7993, 'enormously': 7994, 'admiration': 7995, 'stoned': 7996, 'sharks': 7997, 'client': 7998, 'badness': 7999, 'buttons': 8000, 'diving': 8001, 'sections': 8002, 'dash': 8003, 'carpet': 8004, 'knees': 8005, 'sober': 8006, 'avenge': 8007, 'battling': 8008, 'peers': 8009, 'disappearance': 8010, 'prostitutes': 8011, 'noting': 8012, 'brit': 8013, 'fitzgerald': 8014, 'epitome': 8015, 'clyde': 8016, 'bartender': 8017, 'marijuana': 8018, 'stepmother': 8019, 'egg': 8020, 'principles': 8021, 'disregard': 8022, 'edges': 8023, 'loner': 8024, 'courageous': 8025, 'confuse': 8026, 'mack': 8027, 'crashed': 8028, 'vet': 8029, 'incidental': 8030, 'brazilian': 8031, 'farrah': 8032, 'coppola': 8033, 'vigilante': 8034, 'suave': 8035, 'notices': 8036, 'warrant': 8037, 'dom': 8038, 'investment': 8039, 'dern': 8040, 'slam': 8041, 'offense': 8042, 'mustache': 8043, 'roach': 8044, 'patty': 8045, 'myra': 8046, 'farnsworth': 8047, 'dyke': 8048, 'mira': 8049, 'everett': 8050, 'paz': 8051, 'vaughn': 8052, 'boogeyman': 8053, 'fagin': 8054, 'hanzo': 8055, 'worrying': 8056, 'sinks': 8057, 'interiors': 8058, 'baked': 8059, 'framing': 8060, 'kareena': 8061, 'mobster': 8062, 'asset': 8063, 'signature': 8064, 'combining': 8065, 'grating': 8066, 'conveying': 8067, 'respond': 8068, 'employees': 8069, 'socially': 8070, 'timed': 8071, 'effortlessly': 8072, 'economy': 8073, 'secure': 8074, 'sandy': 8075, 'labeled': 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'manipulated': 8134, 'bites': 8135, 'sammy': 8136, 'lin': 8137, 'norris': 8138, 'pairing': 8139, 'pickup': 8140, 'woefully': 8141, 'knights': 8142, 'ang': 8143, 'clinic': 8144, 'plummer': 8145, 'helena': 8146, 'tin': 8147, 'associate': 8148, 'stab': 8149, 'shield': 8150, 'bart': 8151, 'rivalry': 8152, 'vibe': 8153, 'spoofs': 8154, 'distinctive': 8155, 'padding': 8156, 'closure': 8157, 'symbols': 8158, 'wan': 8159, 'damsel': 8160, 'weirdness': 8161, 'riders': 8162, 'geoffrey': 8163, 'prostitution': 8164, 'reese': 8165, 'bimbo': 8166, 'classmates': 8167, 'dillon': 8168, 'irving': 8169, 'maurice': 8170, 'forsythe': 8171, 'shatner': 8172, 'della': 8173, 'palestinian': 8174, 'lindsey': 8175, 'beetle': 8176, 'harilal': 8177, 'panahi': 8178, 'distorted': 8179, 'culkin': 8180, 'chock': 8181, 'bless': 8182, 'officially': 8183, 'shelter': 8184, 'ads': 8185, 'gasp': 8186, 'morse': 8187, 'fiery': 8188, 'ali': 8189, 'slept': 8190, 'screenplays': 8191, 'retirement': 8192, 'guru': 8193, 'inform': 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9179, 'creeps': 9180, 'screamed': 9181, 'drums': 9182, 'splitting': 9183, 'sessions': 9184, 'boyfriends': 9185, 'stereotyping': 9186, 'practices': 9187, 'lecture': 9188, 'disappearing': 9189, 'leia': 9190, 'elevate': 9191, 'approximately': 9192, 'january': 9193, 'cocky': 9194, 'gimmicks': 9195, 'poo': 9196, 'woven': 9197, 'fugitive': 9198, 'lamarr': 9199, 'hayward': 9200, 'dime': 9201, 'promotion': 9202, 'hispanic': 9203, 'fleming': 9204, 'revolting': 9205, 'choke': 9206, 'discussions': 9207, 'mutated': 9208, 'conduct': 9209, 'sleeve': 9210, 'doesnt': 9211, 'crouse': 9212, 'tucker': 9213, 'opener': 9214, 'jessie': 9215, 'rehearsal': 9216, 'consisted': 9217, 'evolved': 9218, 'grandparents': 9219, 'alienate': 9220, 'footsteps': 9221, 'classified': 9222, 'dreadfully': 9223, 'arizona': 9224, 'cbc': 9225, 'sheila': 9226, 'waving': 9227, 'premises': 9228, 'knox': 9229, 'villagers': 9230, 'infidelity': 9231, 'waits': 9232, 'discernible': 9233, 'traumatized': 9234, 'azaria': 9235, 'restless': 9236, 'kinky': 9237, 'cloud': 9238, 'joanna': 9239, 'bravery': 9240, 'woke': 9241, 'bury': 9242, 'lyrical': 9243, 'seal': 9244, 'relied': 9245, 'intruder': 9246, 'brits': 9247, 'stoltz': 9248, 'mold': 9249, 'logo': 9250, 'smoothly': 9251, 'bursts': 9252, 'submit': 9253, 'speechless': 9254, 'wits': 9255, 'allison': 9256, 'puzzling': 9257, 'hare': 9258, 'pauses': 9259, 'regrets': 9260, 'hesitate': 9261, 'lieutenant': 9262, 'platoon': 9263, 'psychiatric': 9264, 'perceive': 9265, 'benson': 9266, 'gardens': 9267, 'fairytale': 9268, 'collecting': 9269, 'shack': 9270, 'usage': 9271, 'dripping': 9272, 'saddest': 9273, 'barman': 9274, 'nailed': 9275, 'lung': 9276, 'witherspoon': 9277, 'candidates': 9278, 'carole': 9279, 'bw': 9280, 'historians': 9281, 'eater': 9282, 'bruckheimer': 9283, 'flea': 9284, 'vault': 9285, 'smarter': 9286, 'pets': 9287, 'archive': 9288, 'capsule': 9289, 'slows': 9290, 'rhys': 9291, 'revive': 9292, 'forgivable': 9293, 'levant': 9294, 'switzerland': 9295, 'jackass': 9296, 'stir': 9297, 'alligator': 9298, 'vic': 9299, 'telly': 9300, 'grounded': 9301, 'carson': 9302, 'supporters': 9303, 'viggo': 9304, 'democracy': 9305, 'stubborn': 9306, 'bolivia': 9307, 'tel': 9308, 'askey': 9309, 'aiello': 9310, 'marlene': 9311, 'goofs': 9312, 'hamill': 9313, 'rainer': 9314, 'ella': 9315, 'vivah': 9316, 'mcintire': 9317, 'dahl': 9318, 'pita': 9319, 'kriemhild': 9320, 'immersed': 9321, 'request': 9322, 'stepped': 9323, 'hiv': 9324, 'chains': 9325, 'phrases': 9326, 'wolverine': 9327, 'crowds': 9328, 'sentenced': 9329, 'render': 9330, 'goof': 9331, 'surpasses': 9332, 'dense': 9333, 'drifter': 9334, 'til': 9335, 'friendships': 9336, 'stripped': 9337, 'societies': 9338, 'outrage': 9339, 'equals': 9340, 'adopt': 9341, 'psychologically': 9342, 'overt': 9343, 'operas': 9344, 'alternately': 9345, 'scantily': 9346, 'sparse': 9347, 'btk': 9348, 'oddball': 9349, 'matching': 9350, 'organs': 9351, 'grain': 9352, 'insanely': 9353, 'argento': 9354, 'underdog': 9355, 'capt': 9356, 'misplaced': 9357, 'hubby': 9358, 'vengeful': 9359, 'kerr': 9360, 'hunk': 9361, 'obscene': 9362, 'manufactured': 9363, 'thinner': 9364, 'anchorman': 9365, 'witless': 9366, 'noah': 9367, 'vanishing': 9368, 'bathing': 9369, 'crow': 9370, 'bass': 9371, 'miracles': 9372, 'participation': 9373, 'beau': 9374, 'butterfly': 9375, 'overseas': 9376, 'lap': 9377, 'springs': 9378, 'lucio': 9379, 'prevented': 9380, 'clumsily': 9381, 'strikingly': 9382, 'satellite': 9383, 'monstrous': 9384, 'spears': 9385, 'adventurous': 9386, 'incarnation': 9387, 'delve': 9388, 'untrue': 9389, 'intestines': 9390, 'superiors': 9391, 'rests': 9392, 'mindset': 9393, 'monstrosity': 9394, 'proverbial': 9395, 'snappy': 9396, 'admirably': 9397, 'nuance': 9398, 'interpret': 9399, 'confirm': 9400, 'thankful': 9401, 'norwegian': 9402, 'lamas': 9403, 'travelling': 9404, 'draft': 9405, 'mourning': 9406, 'betrays': 9407, 'email': 9408, 'apartments': 9409, 'regal': 9410, 'duties': 9411, 'creepiness': 9412, 'garnered': 9413, 'virtues': 9414, 'stoic': 9415, 'rushes': 9416, 'reception': 9417, 'gym': 9418, 'oriental': 9419, 'squeeze': 9420, 'rightfully': 9421, 'replay': 9422, 'sixty': 9423, 'dusty': 9424, 'regain': 9425, 'companions': 9426, 'locks': 9427, 'empathize': 9428, 'cathy': 9429, 'oppressive': 9430, 'reincarnation': 9431, 'sacrificed': 9432, 'spectrum': 9433, 'streak': 9434, 'blaine': 9435, 'tensions': 9436, 'haha': 9437, 'backing': 9438, 'dung': 9439, 'documents': 9440, 'spectacularly': 9441, 'diabolical': 9442, 'suggestive': 9443, 'winston': 9444, 'eliminate': 9445, 'brink': 9446, 'crook': 9447, 'fanatics': 9448, 'acknowledged': 9449, 'basil': 9450, 'vets': 9451, 'pulse': 9452, 'requisite': 9453, 'gifts': 9454, 'connecting': 9455, 'weirdo': 9456, 'slipped': 9457, 'criminally': 9458, 'sant': 9459, 'whacked': 9460, 'dane': 9461, 'beaver': 9462, 'horizon': 9463, 'kentucky': 9464, 'partial': 9465, 'swamp': 9466, 'eliminated': 9467, 'listing': 9468, 'sr': 9469, 'documented': 9470, 'lombard': 9471, 'itchy': 9472, 'technological': 9473, 'werner': 9474, 'surfers': 9475, 'montages': 9476, 'lotr': 9477, 'deception': 9478, 'assist': 9479, 'snippets': 9480, 'napoleon': 9481, 'mining': 9482, 'merrill': 9483, 'foch': 9484, 'november': 9485, 'liza': 9486, 'schumacher': 9487, 'longtime': 9488, 'grumpy': 9489, 'byrne': 9490, 'looney': 9491, 'leopold': 9492, 'wellington': 9493, 'diver': 9494, 'michel': 9495, 'marquis': 9496, 'zatoichi': 9497, 'radar': 9498, 'blackie': 9499, 'maclean': 9500, 'daisies': 9501, 'munchies': 9502, 'baseketball': 9503, 'darkman': 9504, 'newcombe': 9505, 'shadowy': 9506, 'achieving': 9507, 'grips': 9508, 'polite': 9509, 'surrogate': 9510, 'willem': 9511, 'krishna': 9512, 'attributed': 9513, 'crummy': 9514, 'fireworks': 9515, 'chore': 9516, 'voting': 9517, 'voters': 9518, 'ewan': 9519, 'iceberg': 9520, 'recalls': 9521, 'chairman': 9522, 'recreation': 9523, 'aristocrat': 9524, 'interpreted': 9525, 'stills': 9526, 'realist': 9527, 'edits': 9528, 'societal': 9529, 'operatic': 9530, 'affections': 9531, 'gamut': 9532, 'frenetic': 9533, 'inflicted': 9534, 'misfire': 9535, 'sacred': 9536, 'ideology': 9537, 'finch': 9538, 'keyboard': 9539, 'eponymous': 9540, 'turgid': 9541, 'topped': 9542, 'colourful': 9543, 'teamed': 9544, 'shakes': 9545, 'showtime': 9546, 'universally': 9547, 'gardner': 9548, 'inheritance': 9549, 'disgruntled': 9550, 'planets': 9551, 'siege': 9552, 'apologies': 9553, 'endured': 9554, 'variations': 9555, 'phyllis': 9556, 'outta': 9557, 'sealed': 9558, 'marital': 9559, 'cleveland': 9560, 'nana': 9561, 'stepping': 9562, 'booze': 9563, 'albums': 9564, 'townsend': 9565, 'raving': 9566, 'downside': 9567, 'primal': 9568, 'expertise': 9569, 'gaining': 9570, 'wondrous': 9571, 'bum': 9572, 'schemes': 9573, 'insulted': 9574, 'stud': 9575, 'roaring': 9576, 'sorta': 9577, 'sheet': 9578, 'forum': 9579, 'nuns': 9580, 'solving': 9581, 'anchor': 9582, 'occurring': 9583, 'exhibit': 9584, 'kermit': 9585, 'celebrating': 9586, 'harmony': 9587, 'offerings': 9588, 'rigid': 9589, 'piper': 9590, 'adapting': 9591, 'exposing': 9592, 'gesture': 9593, 'throwaway': 9594, 'bake': 9595, 'floors': 9596, 'hurting': 9597, 'crop': 9598, 'prototype': 9599, 'allegedly': 9600, 'camps': 9601, 'sweetheart': 9602, 'episodic': 9603, 'positions': 9604, 'monumental': 9605, 'skywalker': 9606, 'presumed': 9607, 'practicing': 9608, 'poppins': 9609, 'allied': 9610, 'honour': 9611, 'babysitter': 9612, 'orphanage': 9613, 'stable': 9614, 'tremors': 9615, 'flee': 9616, 'exaggeration': 9617, 'coarse': 9618, 'renowned': 9619, 'undertones': 9620, 'retain': 9621, 'praying': 9622, 'bee': 9623, 'strangest': 9624, 'unimpressive': 9625, 'tasteful': 9626, 'unfinished': 9627, 'greta': 9628, 'shouts': 9629, 'eleanor': 9630, 'holden': 9631, 'catastrophe': 9632, 'mischievous': 9633, 'circuit': 9634, 'emerged': 9635, 'exudes': 9636, 'integrated': 9637, 'supplies': 9638, 'illustrates': 9639, 'addressing': 9640, 'darkest': 9641, 'tepid': 9642, 'marvellous': 9643, 'hiring': 9644, 'underused': 9645, 'runtime': 9646, 'extremes': 9647, 'goer': 9648, 'locker': 9649, 'rocker': 9650, 'compound': 9651, 'shaq': 9652, 'townspeople': 9653, 'wal': 9654, 'nerds': 9655, 'holidays': 9656, 'unrated': 9657, 'grail': 9658, 'tigerland': 9659, 'ferry': 9660, 'risks': 9661, 'caroline': 9662, 'competently': 9663, 'malcolm': 9664, 'employ': 9665, 'fantastically': 9666, 'skinned': 9667, 'raft': 9668, 'eggs': 9669, 'quarters': 9670, 'indifference': 9671, 'renoir': 9672, 'shue': 9673, 'bryan': 9674, 'desolate': 9675, 'smitten': 9676, 'colonial': 9677, 'unborn': 9678, 'shootings': 9679, 'fernando': 9680, 'rub': 9681, 'norma': 9682, 'ppv': 9683, 'masturbation': 9684, 'hockey': 9685, 'allegory': 9686, 'cambodia': 9687, 'kei': 9688, 'atwill': 9689, 'soles': 9690, 'stefan': 9691, 'venezuela': 9692, 'flamenco': 9693, 'nielsen': 9694, 'paperhouse': 9695, 'trelkovsky': 9696, 'interminable': 9697, 'amuse': 9698, 'nell': 9699, 'smallest': 9700, 'ounce': 9701, 'outsider': 9702, 'somber': 9703, 'enthralled': 9704, 'approved': 9705, 'winslet': 9706, 'daft': 9707, 'ka': 9708, 'jumbo': 9709, 'overnight': 9710, 'unsuccessful': 9711, 'contacts': 9712, 'chow': 9713, 'transform': 9714, 'transcends': 9715, 'boarding': 9716, 'hrs': 9717, 'gladly': 9718, 'kerry': 9719, 'pbs': 9720, 'misogynistic': 9721, 'edged': 9722, 'twenties': 9723, 'transferred': 9724, 'wb': 9725, 'yea': 9726, 'exhausted': 9727, 'wheels': 9728, 'ensuing': 9729, 'rewind': 9730, 'slack': 9731, 'socialist': 9732, 'complains': 9733, 'prehistoric': 9734, 'governor': 9735, 'integral': 9736, 'tanks': 9737, 'menu': 9738, 'blends': 9739, 'neutral': 9740, 'misfits': 9741, 'researched': 9742, 'coincidences': 9743, 'washing': 9744, 'ichi': 9745, 'balcony': 9746, 'council': 9747, 'opponent': 9748, 'stealth': 9749, 'skipped': 9750, 'spreading': 9751, 'shenanigans': 9752, 'spliced': 9753, 'iowa': 9754, 'perfected': 9755, 'pokes': 9756, 'overweight': 9757, 'exposes': 9758, 'mcdonald': 9759, 'olympic': 9760, 'rumors': 9761, 'groan': 9762, 'declares': 9763, 'gilligan': 9764, 'erik': 9765, 'sentiments': 9766, 'hitch': 9767, 'prevents': 9768, 'grabbing': 9769, 'orchestral': 9770, 'baffled': 9771, 'weaves': 9772, 'capitalize': 9773, 'amateurs': 9774, 'yourselves': 9775, 'mismatched': 9776, 'preserved': 9777, 'abominable': 9778, 'approval': 9779, 'lam': 9780, 'decapitated': 9781, 'punchline': 9782, 'motif': 9783, 'consisting': 9784, 'infant': 9785, 'amusingly': 9786, 'bava': 9787, 'unfairly': 9788, 'arbitrary': 9789, 'addresses': 9790, 'foley': 9791, 'secluded': 9792, 'mercilessly': 9793, 'patch': 9794, 'owning': 9795, 'geeks': 9796, 'answering': 9797, 'charity': 9798, 'currie': 9799, 'hanna': 9800, 'raping': 9801, 'starving': 9802, 'redeemed': 9803, 'wray': 9804, 'tent': 9805, 'unremarkable': 9806, 'botched': 9807, 'ate': 9808, 'hayden': 9809, 'jaffar': 9810, 'blinded': 9811, 'bagdad': 9812, 'instruments': 9813, 'unforgivable': 9814, 'employs': 9815, 'devastated': 9816, 'geeky': 9817, 'spawned': 9818, 'calculated': 9819, 'speaker': 9820, 'spaces': 9821, 'thirteen': 9822, 'elementary': 9823, 'insisted': 9824, 'canon': 9825, 'closeups': 9826, 'decoration': 9827, 'retrospect': 9828, 'adored': 9829, 'pursues': 9830, 'resurrection': 9831, 'avant': 9832, 'distributor': 9833, 'halt': 9834, 'skimpy': 9835, 'kisses': 9836, 'deformed': 9837, 'roeg': 9838, 'indulge': 9839, 'rabid': 9840, 'tease': 9841, 'retains': 9842, 'texture': 9843, 'options': 9844, 'maniacal': 9845, 'aunts': 9846, 'jeep': 9847, 'binoche': 9848, 'coen': 9849, 'nanny': 9850, 'cassel': 9851, 'projection': 9852, 'wicker': 9853, 'capshaw': 9854, 'wtc': 9855, 'aspirations': 9856, 'budgeted': 9857, 'hardships': 9858, 'vacuous': 9859, 'therapist': 9860, 'invent': 9861, 'bullying': 9862, 'exceedingly': 9863, 'rainbow': 9864, 'frenchman': 9865, 'competing': 9866, 'commando': 9867, 'uniquely': 9868, 'blessing': 9869, 'aims': 9870, 'threats': 9871, 'insecure': 9872, 'bickering': 9873, 'sherry': 9874, 'zenia': 9875, 'lithgow': 9876, 'librarian': 9877, 'sybil': 9878, 'culminating': 9879, 'irs': 9880, 'stakes': 9881, 'cowboys': 9882, 'cos': 9883, 'stalk': 9884, 'salem': 9885, 'postman': 9886, 'blaxploitation': 9887, 'holm': 9888, 'talentless': 9889, 'soulless': 9890, 'awakens': 9891, 'banana': 9892, 'singin': 9893, 'pianist': 9894, 'rathbone': 9895, 'archie': 9896, 'unnamed': 9897, 'costner': 9898, 'stray': 9899, 'trent': 9900, 'maya': 9901, 'stooge': 9902, 'hickock': 9903, 'gertrude': 9904, 'enlightenment': 9905, 'mortensen': 9906, 'wallach': 9907, 'olympia': 9908, 'ashraf': 9909, 'aviv': 9910, 'romano': 9911, 'frye': 9912, 'celie': 9913, 'sleepwalkers': 9914, 'jovi': 9915, 'eustache': 9916, 'mcbain': 9917, 'sullavan': 9918, 'minions': 9919, 'yoda': 9920, 'sabretooth': 9921, 'hagar': 9922, 'robbie': 9923, 'hilliard': 9924, 'pronounced': 9925, 'abducted': 9926, 'declared': 9927, 'impressively': 9928, 'acquire': 9929, 'defines': 9930, 'recruits': 9931, 'fort': 9932, 'reeks': 9933, 'warnings': 9934, 'worries': 9935, 'posed': 9936, 'separation': 9937, 'outbreak': 9938, 'pollack': 9939, 'blanks': 9940, 'therein': 9941, 'grandson': 9942, 'assembly': 9943, 'hesitation': 9944, 'peek': 9945, 'accompany': 9946, 'bicycle': 9947, 'marginally': 9948, 'ivy': 9949, 'transvestite': 9950, 'heritage': 9951, 'canvas': 9952, 'opposing': 9953, 'notoriety': 9954, 'gadgets': 9955, 'infectious': 9956, 'scan': 9957, 'manor': 9958, 'bumps': 9959, 'resurrected': 9960, 'outdoor': 9961, 'quoting': 9962, 'blurred': 9963, 'connects': 9964, 'warped': 9965, 'abbott': 9966, 'om': 9967, 'maintained': 9968, 'triad': 9969, 'sordid': 9970, 'beery': 9971, 'duncan': 9972, 'smashed': 9973, 'gellar': 9974, 'cleaner': 9975, 'stunk': 9976, 'sorcery': 9977, 'spouse': 9978, 'traitor': 9979, 'hosts': 9980, 'boyish': 9981, 'megan': 9982, 'sacrificing': 9983, 'housewives': 9984, 'detracts': 9985, 'staple': 9986, 'liquor': 9987, 'ne': 9988, 'gossip': 9989, 'hartman': 9990, 'cent': 9991, 'smuggling': 9992, 'measures': 9993, 'elegance': 9994, 'announces': 9995, 'stereo': 9996, 'occupation': 9997, 'surpassed': 9998, 'fulfilled': 9999}

Text to vector function

Now we can write a function that converts a some text to a word vector. The function will take a string of words as input and return a vector with the words counted up. Here's the general algorithm to do this:

  • Initialize the word vector with np.zeros, it should be the length of the vocabulary.
  • Split the input string of text into a list of words with .split(' '). Again, if you call .split() instead, you'll get slightly different results than what we show here.
  • For each word in that list, increment the element in the index associated with that word, which you get from word2idx.

Note: Since all words aren't in the vocab dictionary, you'll get a key error if you run into one of those words. You can use the .get method of the word2idx dictionary to specify a default returned value when you make a key error. For example, word2idx.get(word, None) returns None if word doesn't exist in the dictionary.





In [31]:



    


def text_to_vector(text):
    vector = np.zeros(len(vocab))
    words = text.split(' ')
    for word in words:
        i = word2idx.get(word, None)
        if i != None:
            vector[i] += 1
            
    return vector

If you do this right, the following code should return

text_to_vector('The tea is for a party to celebrate '
               'the movie so she has no time for a cake')[:65]

array([0, 1, 0, 0, 2, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0])




In [33]:



    


text_to_vector('The tea is for a party to celebrate '
               'the movie so she has no time for a cake')[:65]



    


















    
Out[33]:








array([ 0.,  1.,  0.,  0.,  2.,  0.,  1.,  1.,  0.,  0.,  0.,  0.,  0.,
        0.,  0.,  0.,  0.,  2.,  0.,  1.,  0.,  0.,  0.,  0.,  0.,  0.,
        0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.,
        0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.,  0.,  0.,  0.,
        0.,  0.,  1.,  0.,  0.,  0.,  1.,  1.,  0.,  0.,  0.,  0.,  0.])

Now, run through our entire review data set and convert each review to a word vector.





In [34]:



    


word_vectors = np.zeros((len(reviews), len(vocab)), dtype=np.int_)
for ii, (_, text) in enumerate(reviews.iterrows()):
    word_vectors[ii] = text_to_vector(text[0])



    











In [35]:



    


# Printing out the first 5 word vectors
word_vectors[:5, :23]



    


















    
Out[35]:








array([[ 18,   9,  27,   1,   4,   4,   6,   4,   0,   2,   2,   5,   0,
          4,   1,   0,   2,   0,   0,   0,   0,   0,   0],
       [  5,   4,   8,   1,   7,   3,   1,   2,   0,   4,   0,   0,   0,
          1,   2,   0,   0,   1,   3,   0,   0,   0,   1],
       [ 78,  24,  12,   4,  17,   5,  20,   2,   8,   8,   2,   1,   1,
          2,   8,   0,   5,   5,   4,   0,   2,   1,   4],
       [167,  53,  23,   0,  22,  23,  13,  14,   8,  10,   8,  12,   9,
          4,  11,   2,  11,   5,  11,   0,   5,   3,   0],
       [ 19,  10,  11,   4,   6,   2,   2,   5,   0,   1,   2,   3,   1,
          0,   0,   0,   3,   1,   0,   1,   0,   0,   0]])

Train, Validation, Test sets

Now that we have the word_vectors, we're ready to split our data into train, validation, and test sets. Remember that we train on the train data, use the validation data to set the hyperparameters, and at the very end measure the network performance on the test data. Here we're using the function to_categorical from TFLearn to reshape the target data so that we'll have two output units and can classify with a softmax activation function. We actually won't be creating the validation set here, TFLearn will do that for us later.





In [36]:



    


Y = (labels=='positive').astype(np.int_)
records = len(labels)

shuffle = np.arange(records)
np.random.shuffle(shuffle)
test_fraction = 0.9

train_split, test_split = shuffle[:int(records*test_fraction)], shuffle[int(records*test_fraction):]
trainX, trainY = word_vectors[train_split,:], to_categorical(Y.values[train_split], 2)
testX, testY = word_vectors[test_split,:], to_categorical(Y.values[test_split], 2)



    











In [37]:



    


trainY



    


















    
Out[37]:








array([[ 0.,  1.],
       [ 1.,  0.],
       [ 0.,  1.],
       ..., 
       [ 0.,  1.],
       [ 1.,  0.],
       [ 0.,  1.]])

Building the network

TFLearn lets you build the network by defining the layers.

Input layer

For the input layer, you just need to tell it how many units you have. For example,

net = tflearn.input_data([None, 100])

would create a network with 100 input units. The first element in the list, None in this case, sets the batch size. Setting it to None here leaves it at the default batch size.

The number of inputs to your network needs to match the size of your data. For this example, we're using 10000 element long vectors to encode our input data, so we need 10000 input units.

Adding layers

To add new hidden layers, you use

net = tflearn.fully_connected(net, n_units, activation='ReLU')

This adds a fully connected layer where every unit in the previous layer is connected to every unit in this layer. The first argument net is the network you created in the tflearn.input_data call. It's telling the network to use the output of the previous layer as the input to this layer. You can set the number of units in the layer with n_units, and set the activation function with the activation keyword. You can keep adding layers to your network by repeated calling net = tflearn.fully_connected(net, n_units).

Output layer

The last layer you add is used as the output layer. Therefore, you need to set the number of units to match the target data. In this case we are predicting two classes, positive or negative sentiment. You also need to set the activation function so it's appropriate for your model. Again, we're trying to predict if some input data belongs to one of two classes, so we should use softmax.

net = tflearn.fully_connected(net, 2, activation='softmax')

Training

To set how you train the network, use

net = tflearn.regression(net, optimizer='sgd', learning_rate=0.1, loss='categorical_crossentropy')

Again, this is passing in the network you've been building. The keywords:

  • optimizer sets the training method, here stochastic gradient descent
  • learning_rate is the learning rate
  • loss determines how the network error is calculated. In this example, with the categorical cross-entropy.

Finally you put all this together to create the model with tflearn.DNN(net). So it ends up looking something like

net = tflearn.input_data([None, 10])                          # Input
net = tflearn.fully_connected(net, 5, activation='ReLU')      # Hidden
net = tflearn.fully_connected(net, 2, activation='softmax')   # Output
net = tflearn.regression(net, optimizer='sgd', learning_rate=0.1, loss='categorical_crossentropy')
model = tflearn.DNN(net)

Exercise: Below in the build_model() function, you'll put together the network using TFLearn. You get to choose how many layers to use, how many hidden units, etc.





In [62]:



    


# Network building
def build_model():
    # This resets all parameters and variables, leave this here
    tf.reset_default_graph()
    
    #### Your code ####
    net = tflearn.input_data([None, len(vocab)])
    net = tflearn.fully_connected(net, 200, activation='ReLU')
    net = tflearn.fully_connected(net, 25, activation='ReLU')
    net = tflearn.fully_connected(net, 2, activation='softmax')
    net = tflearn.regression(net, optimizer='sgd', learning_rate=0.1, loss='categorical_crossentropy')
    
    model = tflearn.DNN(net)
    return model

Intializing the model

Next we need to call the build_model() function to actually build the model. In my solution I haven't included any arguments to the function, but you can add arguments so you can change parameters in the model if you want.

Note: You might get a bunch of warnings here. TFLearn uses a lot of deprecated code in TensorFlow. Hopefully it gets updated to the new TensorFlow version soon.





In [63]:



    


model = build_model()

Training the network

Now that we've constructed the network, saved as the variable model, we can fit it to the data. Here we use the model.fit method. You pass in the training features trainX and the training targets trainY. Below I set validation_set=0.1 which reserves 10% of the data set as the validation set. You can also set the batch size and number of epochs with the batch_size and n_epoch keywords, respectively. Below is the code to fit our the network to our word vectors.

You can rerun model.fit to train the network further if you think you can increase the validation accuracy. Remember, all hyperparameter adjustments must be done using the validation set. Only use the test set after you're completely done training the network.





In [64]:



    


# Training
model.fit(trainX, trainY, validation_set=0.1, show_metric=True, batch_size=128, n_epoch=10)



    


















    






Training Step: 1589  | total loss: 0.57932 | time: 6.947s
| SGD | epoch: 010 | loss: 0.57932 - acc: 0.7153 -- iter: 20224/20250
Training Step: 1590  | total loss: 0.58246 | time: 7.999s
| SGD | epoch: 010 | loss: 0.58246 - acc: 0.7001 | val_loss: 0.58398 - val_acc: 0.7644 -- iter: 20250/20250
--

Testing

After you're satisified with your hyperparameters, you can run the network on the test set to measure its performance. Remember, only do this after finalizing the hyperparameters.





In [56]:



    


predictions = (np.array(model.predict(testX))[:,0] >= 0.5).astype(np.int_)
test_accuracy = np.mean(predictions == testY[:,0], axis=0)
print("Test accuracy: ", test_accuracy)



    


















    






Test accuracy:  0.7212

Try out your own text!





In [57]:



    


# Helper function that uses your model to predict sentiment
def test_sentence(sentence):
    positive_prob = model.predict([text_to_vector(sentence.lower())])[0][1]
    print('Sentence: {}'.format(sentence))
    print('P(positive) = {:.3f} :'.format(positive_prob), 
          'Positive' if positive_prob > 0.5 else 'Negative')



    











In [58]:



    


sentence = "Moonlight is by far the best movie of 2016."
test_sentence(sentence)

sentence = "It's amazing anyone could be talented enough to make something this spectacularly awful"
test_sentence(sentence)



    


















    






Sentence: Moonlight is by far the best movie of 2016.
P(positive) = 0.538 : Positive
Sentence: It's amazing anyone could be talented enough to make something this spectacularly awful
P(positive) = 0.466 : Negative

















In [ ]:

Content source: greg-ashby/deep-learning-nanodegree

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