LSTM_on_Amazon_Fine_Food_Reviews.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "CGOdjXObpshB",
    "outputId": "6387c0c2-a15e-4538-a30d-05872649f6d5"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from collections import Counter\n",
    "from keras.datasets import imdb\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout, BatchNormalization\n",
    "from keras.layers import LSTM\n",
    "from keras.layers.embeddings import Embedding\n",
    "from keras.preprocessing import sequence\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "from prettytable import PrettyTable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "F7TNEf8pqDSk"
   },
   "outputs": [],
   "source": [
    "def plot_loss(x, vy, ty, xlabel='Epoch', ylabel='Binary Crossentropy Loss'):\n",
    "    _, = plt.plot(x, vy, 'b', label=\"Validation Loss\")\n",
    "    _, = plt.plot(x, ty, 'r', label=\"Train Loss\")\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "\n",
    "    plt.grid()\n",
    "    plt.legend()\n",
    "    plt.grid()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "rG1INR0RqDUv"
   },
   "outputs": [],
   "source": [
    "pt = PrettyTable()\n",
    "pt.field_names = ['RNN Architecture', 'Mean Train Accuracy', 'Mean Validation Accuracy', 'Test Accuracy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 121
    },
    "colab_type": "code",
    "id": "HA_ItlYrqDew",
    "outputId": "31140794-d87e-4b41-b3cc-e0d12fa0d2f7"
   },
   "outputs": [],
   "source": [
    "# --> Step to access files in gdrive.\n",
    "from google.colab import drive\n",
    "drive.mount('/content/gdrive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 87
    },
    "colab_type": "code",
    "id": "7Zxyh9X8qDi4",
    "outputId": "85318272-82e5-4a8f-e7b0-f9f15b862981"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rememb see show air televis year ago child sister later bought day thirti someth use seri book song student teach preschool turn whole school purchas along book children tradit live whole  great spend\n",
      "CPU times: user 322 ms, sys: 59.5 ms, total: 381 ms\n",
      "Wall time: 1.77 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# --> The csv files contain pre-processed data of the Reviews - select unique rows, punctuations & html tags removed,\n",
    "# a featurizations added and Stemming performed on the data. Sample data is displayed below.\n",
    "data_train = pd.read_csv('/content/gdrive/My Drive/Colab Notebooks/sample_data_train.csv')\n",
    "data_test = pd.read_csv('/content/gdrive/My Drive/Colab Notebooks/sample_data_test.csv')\n",
    "\n",
    "print(data_train.iloc[0]['CleanedText'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "ikYD_sQTOisj"
   },
   "outputs": [],
   "source": [
    "def load_data(num_words=5000):\n",
    "    '''\n",
    "    This Function basically prepares the data to be loaded and processed similar to IMDB data in datasets.\n",
    "    1. A Vocabulary is created with all the words and it's Frequencies.\n",
    "    2. Top 'num_words' are selected and another dictionary 'word_idx' is created to store the ranks of the corresponding words.\n",
    "    3. Finally, train and test data (x's & y's) are returned to the caller.\n",
    "    '''\n",
    "    vocab = Counter()\n",
    "    word_idx = dict()\n",
    "    cnt = 1\n",
    "    max_sent_len = 0\n",
    "    for review in data_train['CleanedText']:\n",
    "        if len(review.split()) > max_sent_len:\n",
    "            max_sent_len = len(review.split())\n",
    "        for word in review.split():\n",
    "            vocab[word] += 1\n",
    "\n",
    "    for x,y in vocab.most_common(num_words):\n",
    "        word_idx[x] = cnt\n",
    "        cnt += 1\n",
    "        \n",
    "    print(f'Most Common Words :-\\n{vocab.most_common(10)}')\n",
    "    print(f'Word Ranks :-\\n{word_idx}')\n",
    "    print(f'Max Review Length - {max_sent_len}')\n",
    "    \n",
    "    def transform_data(data):\n",
    "        data_idx = []\n",
    "        for review in data['CleanedText']:\n",
    "            temp_idx = []\n",
    "            for word in review.split():\n",
    "                if 0 < word_idx.get(word, 0) <= num_words:\n",
    "                    temp_idx.append(word_idx[word])\n",
    "            data_idx.append(temp_idx)\n",
    "\n",
    "        return data_idx\n",
    "        \n",
    "    X_train = transform_data(data_train)\n",
    "    X_test = transform_data(data_test)\n",
    "    y_train = data_train['Score']\n",
    "    y_test = data_test['Score']\n",
    "    \n",
    "    return (X_train, y_train), (X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 154
    },
    "colab_type": "code",
    "id": "aI_mAyR-OiyB",
    "outputId": "6225c2c7-30da-4c54-b453-859bacc632f9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most Common Words :-\n",
      "[('not', 7305), ('great', 6203), ('like', 6190), ('tast', 5998), ('good', 5981), ('tea', 5409), ('love', 4992), ('flavor', 4755), ('one', 4217), ('product', 4130)]\n",
      "Word Ranks :-\n",
      "{'not': 1, 'great': 2, 'like': 3, 'tast': 4, 'good': 5, 'tea': 6, 'love': 7, 'flavor': 8, 'one': 9, 'product': 10, 'use': 11, 'tri': 12, 'best': 13, 'make': 14, 'get': 15, 'food': 16, 'eat': 17, 'coffe': 18, 'buy': 19, 'would': 20, 'realli': 21, 'time': 22, 'also': 23, 'much': 24, 'find': 25, 'order': 26, 'amazon': 27, 'littl': 28, 'even': 29, 'bag': 30, 'well': 31, 'dog': 32, 'better': 33, 'delici': 34, 'chocol': 35, 'price': 36, 'store': 37, 'mix': 38, 'sugar': 39, 'box': 40, 'drink': 41, 'recommend': 42, 'day': 43, 'sweet': 44, 'treat': 45, 'high': 46, 'year': 47, 'snack': 48, '[]': 49, 'cat': 50, 'favorit': 51, 'want': 52, 'found': 53, 'look': 54, 'first': 55, 'enjoy': 56, 'wonder': 57, 'give': 58, 'cup': 59, 'healthi': 60, 'nice': 61, 'think': 62, 'brand': 63, 'packag': 64, 'cooki': 65, 'made': 66, 'excel': 67, 'ever': 68, 'chip': 69, 'way': 70, 'organ': 71, 'water': 72, 'add': 73, 'work': 74, 'thing': 75, 'two': 76, 'need': 77, 'differ': 78, 'mani': 79, 'know': 80, 'natur': 81, 'hot': 82, 'bar': 83, 'milk': 84, 'perfect': 85, 'free': 86, 'bought': 87, 'keep': 88, 'bit': 89, 'say': 90, 'tasti': 91, 'come': 92, 'purchas': 93, 'pack': 94, 'take': 95, 'sinc': 96, 'fresh': 97, 'sauc': 98, 'could': 99, 'ingredi': 100, 'ship': 101, 'never': 102, 'green': 103, 'cook': 104, 'lot': 105, 'still': 106, 'review': 107, 'stuff': 108, 'easi': 109, 'everi': 110, 'alway': 111, 'without': 112, 'right': 113, 'whole': 114, 'salt': 115, 'rice': 116, 'cereal': 117, 'hard': 118, 'contain': 119, 'enough': 120, 'seem': 121, 'got': 122, 'qualiti': 123, 'put': 124, 'oil': 125, 'someth': 126, 'candi': 127, 'serv': 128, 'chicken': 129, 'local': 130, 'dri': 131, 'regular': 132, 'back': 133, 'small': 134, 'kid': 135, 'fat': 136, 'less': 137, 'howev': 138, 'far': 139, 'size': 140, 'long': 141, 'help': 142, 'quit': 143, 'last': 144, 'ad': 145, 'old': 146, 'though': 147, 'fruit': 148, 'calori': 149, 'diet': 150, 'chees': 151, 'quick': 152, 'blend': 153, 'real': 154, 'famili': 155, 'textur': 156, 'feel': 157, 'see': 158, 'actual': 159, 'peopl': 160, 'bad': 161, 'groceri': 162, 'strong': 163, 'item': 164, 'sure': 165, 'problem': 166, 'light': 167, 'friend': 168, 'start': 169, 'big': 170, 'new': 171, 'definit': 172, 'black': 173, 'thank': 174, 'pretti': 175, 'case': 176, 'anoth': 177, 'month': 178, 'compani': 179, 'soup': 180, 'open': 181, 'low': 182, 'may': 183, 'smell': 184, 'gluten': 185, 'bean': 186, 'butter': 187, 'varieti': 188, 'can': 189, 'worth': 190, 'spice': 191, 'happi': 192, 'health': 193, 'minut': 194, 'amount': 195, 'almost': 196, 'sever': 197, 'thought': 198, 'avail': 199, 'juic': 200, 'bake': 201, 'protein': 202, 'receiv': 203, 'top': 204, 'around': 205, 'white': 206, 'go': 207, 'gift': 208, 'star': 209, 'anyth': 210, 'bread': 211, 'ice': 212, 'leav': 213, 'kind': 214, 'chew': 215, 'husband': 216, 'per': 217, 'usual': 218, 'pleas': 219, 'pasta': 220, 'absolut': 221, 'especi': 222, 'meal': 223, 'arriv': 224, 'morn': 225, 'wheat': 226, 'breakfast': 227, 'week': 228, 'nut': 229, 'prefer': 230, 'recip': 231, 'disappoint': 232, 'expens': 233, 'bottl': 234, 'powder': 235, 'hand': 236, 'fill': 237, 'reason': 238, 'satisfi': 239, 'cracker': 240, 'full': 241, 'peanut': 242, 'vanilla': 243, 'extra': 244, 'away': 245, 'live': 246, 'expect': 247, 'dark': 248, 'bitter': 249, 'amaz': 250, 'place': 251, 'came': 252, 'home': 253, 'probabl': 254, 'red': 255, 'yummi': 256, 'roast': 257, 'might': 258, 'sweeten': 259, 'corn': 260, 'meat': 261, 'surpris': 262, 'rich': 263, 'awesom': 264, 'fast': 265, 'instead': 266, 'carri': 267, 'save': 268, 'pepper': 269, 'fine': 270, 'fiber': 271, 'three': 272, 'market': 273, 'call': 274, 'season': 275, 'crunchi': 276, 'said': 277, 'half': 278, 'abl': 279, 'cream': 280, 'fact': 281, 'larg': 282, 'let': 283, 'yet': 284, 'addict': 285, 'although': 286, 'piec': 287, 'read': 288, 'brew': 289, 'coconut': 290, 'choic': 291, 'noth': 292, 'chang': 293, 'spici': 294, 'compar': 295, 'coupl': 296, 'care': 297, 'anyon': 298, 'syrup': 299, 'altern': 300, 'pod': 301, 'honey': 302, 'addit': 303, 'origin': 304, 'must': 305, 'least': 306, 'smooth': 307, 'end': 308, 'type': 309, 'slight': 310, 'cost': 311, 'oatmeal': 312, 'lemon': 313, 'other': 314, 'includ': 315, 'person': 316, 'everyon': 317, 'oliv': 318, 'longer': 319, 'els': 320, 'appl': 321, 'cake': 322, 'almond': 323, 'money': 324, 'cinnamon': 325, 'ago': 326, 'deal': 327, 'flour': 328, 'believ': 329, 'life': 330, 'potato': 331, 'hous': 332, 'second': 333, 'tomato': 334, 'popcorn': 335, 'wish': 336, 'special': 337, 'run': 338, 'son': 339, 'hope': 340, 'cut': 341, 'salad': 342, 'glad': 343, 'mouth': 344, 'list': 345, 'either': 346, 'everyth': 347, 'soy': 348, 'weight': 349, 'tell': 350, 'offer': 351, 'etc': 352, 'bowl': 353, 'experi': 354, 'next': 355, 'pill': 356, 'energi': 357, 'grain': 358, 'sometim': 359, 'gave': 360, 'pop': 361, 'orang': 362, 'jerki': 363, 'stop': 364, 'fan': 365, 'decid': 366, 'plus': 367, 'past': 368, 'simpli': 369, 'hour': 370, 'mayb': 371, 'version': 372, 'dish': 373, 'nutrit': 374, 'turn': 375, 'daughter': 376, 'salti': 377, 'packet': 378, 'valu': 379, 'notic': 380, 'cold': 381, 'fantast': 382, 'conveni': 383, 'soft': 384, 'rather': 385, 'side': 386, 'noodl': 387, 'part': 388, 'feed': 389, 'microwav': 390, 'sell': 391, 'ginger': 392, 'formula': 393, 'brown': 394, 'jar': 395, 'seed': 396, 'stock': 397, 'color': 398, 'herb': 399, 'artifici': 400, 'plain': 401, 'base': 402, 'heat': 403, 'ask': 404, 'took': 405, 'final': 406, 'close': 407, 'soda': 408, 'recent': 409, 'delight': 410, 'mild': 411, 'goe': 412, 'cours': 413, 'gum': 414, 'bite': 415, 'ounc': 416, 'chai': 417, 'world': 418, 'often': 419, 'servic': 420, 'vitamin': 421, 'lunch': 422, 'fish': 423, 'oat': 424, 'prepar': 425, 'went': 426, 'mean': 427, 'stick': 428, 'wait': 429, 'fun': 430, 'pleasant': 431, 'pot': 432, 'cheaper': 433, 'normal': 434, 'onlin': 435, 'super': 436, 'set': 437, 'total': 438, 'bodi': 439, 'line': 440, 'instant': 441, 'night': 442, 'beef': 443, 'cannot': 444, 'clean': 445, 'roll': 446, 'fair': 447, 'particular': 448, 'espresso': 449, 'becom': 450, 'consist': 451, 'pet': 452, 'benefit': 453, 'ground': 454, 'strawberri': 455, 'pay': 456, 'replac': 457, 'exact': 458, 'result': 459, 'easili': 460, 'near': 461, 'process': 462, 'daili': 463, 'toy': 464, 'suggest': 465, 'note': 466, 'name': 467, 'bulk': 468, 'pretzel': 469, 'cocoa': 470, 'crunch': 471, 'consid': 472, 'interest': 473, 'date': 474, 'grey': 475, 'effect': 476, 'gram': 477, 'rememb': 478, 'direct': 479, 'aroma': 480, 'dinner': 481, 'except': 482, 'bring': 483, 'label': 484, 'refresh': 485, 'grow': 486, 'gummi': 487, 'follow': 488, 'substitut': 489, 'coat': 490, 'egg': 491, 'search': 492, 'caffein': 493, 'certain': 494, 'idea': 495, 'pound': 496, 'complet': 497, 'extrem': 498, 'provid': 499, 'pie': 500, 'sodium': 501, 'bold': 502, 'wife': 503, 'chewi': 504, 'licoric': 505, 'raw': 506, 'combin': 507, 'teeth': 508, 'eaten': 509, 'pick': 510, 'carb': 511, 'given': 512, 'healthier': 513, 'similar': 514, 'finish': 515, 'entir': 516, 'singl': 517, 'true': 518, 'cherri': 519, 'earl': 520, 'machin': 521, 'individu': 522, 'content': 523, 'sit': 524, 'vegan': 525, 'loos': 526, 'dip': 527, 'state': 528, 'stay': 529, 'deliv': 530, 'along': 531, 'tradit': 532, 'custom': 533, 'plant': 534, 'yes': 535, 'beauti': 536, 'watch': 537, 'veget': 538, 'picki': 539, 'crisp': 540, 'vet': 541, 'dress': 542, 'discov': 543, 'guess': 544, 'lover': 545, 'mine': 546, 'later': 547, 'wrong': 548, 'rest': 549, 'smaller': 550, 'overal': 551, 'cashew': 552, 'berri': 553, 'done': 554, 'rate': 555, 'soon': 556, 'thin': 557, 'someon': 558, 'senseo': 559, 'insid': 560, 'simpl': 561, 'switch': 562, 'impress': 563, 'check': 564, 'babi': 565, 'pancak': 566, 'told': 567, 'preserv': 568, 'sourc': 569, 'balanc': 570, 'general': 571, 'pure': 572, 'mind': 573, 'boil': 574, 'acid': 575, 'area': 576, 'togeth': 577, 'french': 578, 'shop': 579, 'uniqu': 580, 'consum': 581, 'four': 582, 'ate': 583, 'mint': 584, 'larger': 585, 'crave': 586, 'decaf': 587, 'garlic': 588, 'christma': 589, 'sent': 590, 'hint': 591, 'movi': 592, 'gone': 593, 'deliveri': 594, 'continu': 595, 'ball': 596, 'slice': 597, 'stash': 598, 'hit': 599, 'truli': 600, 'import': 601, 'blue': 602, 'mom': 603, 'granola': 604, 'cover': 605, 'produc': 606, 'hold': 607, 'beat': 608, 'italian': 609, 'shape': 610, 'wow': 611, 'saw': 612, 'point': 613, 'flower': 614, 'yum': 615, 'unlik': 616, 'due': 617, 'alreadi': 618, 'busi': 619, 'restaur': 620, 'left': 621, 'five': 622, 'raisin': 623, 'plastic': 624, 'thick': 625, 'chili': 626, 'aftertast': 627, 'supermarket': 628, 'share': 629, 'miss': 630, 'break': 631, 'throw': 632, 'toast': 633, 'tuna': 634, 'pour': 635, 'caus': 636, 'puppi': 637, 'canida': 638, 'yogurt': 639, 'seen': 640, 'veggi': 641, 'agre': 642, 'gourmet': 643, 'worri': 644, 'american': 645, 'tart': 646, 'beverag': 647, 'fri': 648, 'children': 649, 'within': 650, 'herbal': 651, 'incred': 652, 'sold': 653, 'stomach': 654, 'hate': 655, 'bone': 656, 'onion': 657, 'com': 658, 'basic': 659, 'site': 660, 'sour': 661, 'fabul': 662, 'quinoa': 663, 'huge': 664, 'level': 665, 'pocket': 666, 'glass': 667, 'allergi': 668, 'fit': 669, 'anyway': 670, 'unfortun': 671, 'melt': 672, 'stale': 673, 'liquid': 674, 'possibl': 675, 'warm': 676, 'immedi': 677, 'clear': 678, 'six': 679, 'hook': 680, 'difficult': 681, 'bear': 682, 'splenda': 683, 'return': 684, 'digest': 685, 'happen': 686, 'train': 687, 'opinion': 688, 'anywher': 689, 'blueberri': 690, 'option': 691, 'show': 692, 'mention': 693, 'mother': 694, 'wrap': 695, 'easier': 696, 'today': 697, 'sandwich': 698, 'plan': 699, 'figur': 700, 'steep': 701, 'starbuck': 702, 'cool': 703, 'premium': 704, 'requir': 705, 'subtl': 706, 'creami': 707, 'smoke': 708, 'banana': 709, 'jasmin': 710, 'move': 711, 'refriger': 712, 'improv': 713, 'heaven': 714, 'kitchen': 715, 'send': 716, 'describ': 717, 'play': 718, 'stand': 719, 'doubl': 720, 'none': 721, 'diabet': 722, 'numi': 723, 'sampl': 724, 'leaf': 725, 'condit': 726, 'bottom': 727, 'sea': 728, 'standard': 729, 'kick': 730, 'sparkl': 731, 'imagin': 732, 'number': 733, 'issu': 734, 'biscuit': 735, 'english': 736, 'allow': 737, 'sale': 738, 'touch': 739, 'muffin': 740, 'travel': 741, 'expir': 742, 'mill': 743, 'stir': 744, 'izz': 745, 'word': 746, 'appreci': 747, 'drinker': 748, 'sort': 749, 'wast': 750, 'tend': 751, 'tazo': 752, 'maker': 753, 'salsa': 754, 'power': 755, 'nutriti': 756, 'jelli': 757, 'concern': 758, 'websit': 759, 'short': 760, 'form': 761, 'avoid': 762, 'tip': 763, 'lower': 764, 'excit': 765, 'crispi': 766, 'suppli': 767, 'trap': 768, 'vinegar': 769, 'stevia': 770, 'drop': 771, 'blood': 772, 'suppos': 773, 'manufactur': 774, 'unless': 775, 'system': 776, 'garden': 777, 'anymor': 778, 'skin': 779, 'reduc': 780, 'delic': 781, 'test': 782, 'cheap': 783, 'dessert': 784, 'decent': 785, 'twice': 786, 'bland': 787, 'crazi': 788, 'medium': 789, 'tini': 790, 'moist': 791, 'job': 792, 'tin': 793, 'warn': 794, 'broken': 795, 'batch': 796, 'broth': 797, 'instruct': 798, 'matter': 799, 'terribl': 800, 'stronger': 801, 'room': 802, 'kept': 803, 'flake': 804, 'vegetarian': 805, 'tortilla': 806, 'otherwis': 807, 'salmon': 808, 'extract': 809, 'chemic': 810, 'complaint': 811, 'supplement': 812, 'child': 813, 'mountain': 814, 'portion': 815, 'previous': 816, 'root': 817, 'sprinkl': 818, 'somewhat': 819, 'human': 820, 'heart': 821, 'calm': 822, 'classic': 823, 'outstand': 824, 'seal': 825, 'spend': 826, 'known': 827, 'wild': 828, 'trip': 829, 'mess': 830, 'adult': 831, 'visit': 832, 'creat': 833, 'horribl': 834, 'browni': 835, 'whatev': 836, 'anim': 837, 'shake': 838, 'school': 839, 'summer': 840, 'shelf': 841, 'tablespoon': 842, 'age': 843, 'count': 844, 'learn': 845, 'higher': 846, 'caramel': 847, 'main': 848, 'fall': 849, 'sorri': 850, 'kashi': 851, 'sesam': 852, 'book': 853, 'remov': 854, 'steak': 855, 'research': 856, 'thai': 857, 'poor': 858, 'overpow': 859, 'gravi': 860, 'remind': 861, 'readi': 862, 'parti': 863, 'quantiti': 864, 'shipment': 865, 'control': 866, 'serious': 867, 'lose': 868, 'thrill': 869, 'realiz': 870, 'chop': 871, 'write': 872, 'various': 873, 'inform': 874, 'select': 875, 'terrif': 876, 'comment': 877, 'sound': 878, 'bud': 879, 'kosher': 880, 'sick': 881, 'grown': 882, 'cheddar': 883, 'over': 884, 'countri': 885, 'eater': 886, 'chines': 887, 'aw': 888, 'typic': 889, 'weak': 890, 'sensit': 891, 'kitti': 892, 'felt': 893, 'homemad': 894, 'perhap': 895, 'relax': 896, 'futur': 897, 'boy': 898, 'lack': 899, 'web': 900, 'oreo': 901, 'mole': 902, 'celiac': 903, 'wine': 904, 'pictur': 905, 'popular': 906, 'spoon': 907, 'allerg': 908, 'alon': 909, 'china': 910, 'seller': 911, 'frost': 912, 'nasti': 913, 'offic': 914, 'claim': 915, 'pass': 916, 'most': 917, 'raspberri': 918, 'heard': 919, 'brought': 920, 'belli': 921, 'peach': 922, 'agav': 923, 'style': 924, 'introduc': 925, 'depend': 926, 'round': 927, 'afternoon': 928, 'equal': 929, 'spread': 930, 'kit': 931, 'heavi': 932, 'across': 933, 'pricey': 934, 'relat': 935, 'nutti': 936, 'lost': 937, 'knew': 938, 'dairi': 939, 'crumbl': 940, 'cholesterol': 941, 'fix': 942, 'timothi': 943, 'lime': 944, 'straight': 945, 'superior': 946, 'teaspoon': 947, 'grew': 948, 'safe': 949, 'occasion': 950, 'yogi': 951, 'remain': 952, 'advertis': 953, 'talk': 954, 'hazelnut': 955, 'magic': 956, 'pomegran': 957, 'third': 958, 'tabl': 959, 'paid': 960, 'tree': 961, 'everyday': 962, 'lipton': 963, 'appear': 964, 'present': 965, 'forward': 966, 'dont': 967, 'current': 968, 'pantri': 969, 'chunk': 970, 'wafer': 971, 'design': 972, 'whether': 973, 'upon': 974, 'assort': 975, 'indian': 976, 'late': 977, 'plenti': 978, 'authent': 979, 'charg': 980, 'averag': 981, 'chanc': 982, 'haribo': 983, 'cuisin': 984, 'handi': 985, 'winter': 986, 'golden': 987, 'paper': 988, 'understand': 989, 'drank': 990, 'crust': 991, 'worst': 992, 'intens': 993, 'gold': 994, 'yellow': 995, 'sleep': 996, 'begin': 997, 'bran': 998, 'pan': 999, 'concentr': 1000, 'limit': 1001, 'lid': 1002, 'okay': 1003, 'keurig': 1004, 'grill': 1005, 'farm': 1006, 'honest': 1007, 'enhanc': 1008, 'bob': 1009, 'increas': 1010, 'tran': 1011, 'petit': 1012, 'newman': 1013, 'birthday': 1014, 'rock': 1015, 'tire': 1016, 'mustard': 1017, 'dollar': 1018, 'diseas': 1019, 'accord': 1020, 'guy': 1021, 'spaghetti': 1022, 'shell': 1023, 'yeast': 1024, 'medicin': 1025, 'anni': 1026, 'curri': 1027, 'tender': 1028, 'doctor': 1029, 'joe': 1030, 'earli': 1031, 'obvious': 1032, 'holiday': 1033, 'choos': 1034, 'south': 1035, 'taken': 1036, 'stapl': 1037, 'mapl': 1038, 'distinct': 1039, 'rose': 1040, 'sticki': 1041, 'complex': 1042, 'junk': 1043, 'afford': 1044, 'film': 1045, 'favor': 1046, 'negat': 1047, 'whenev': 1048, 'wet': 1049, 'respons': 1050, 'flavour': 1051, 'oven': 1052, 'outsid': 1053, 'deep': 1054, 'sip': 1055, 'folk': 1056, 'boost': 1057, 'pork': 1058, 'mini': 1059, 'bubbl': 1060, 'refin': 1061, 'prompt': 1062, 'fridg': 1063, 'bunch': 1064, 'grape': 1065, 'practic': 1066, 'turkey': 1067, 'load': 1068, 'smoothi': 1069, 'kraft': 1070, 'car': 1071, 'kona': 1072, 'scent': 1073, 'tough': 1074, 'burn': 1075, 'crumb': 1076, 'overwhelm': 1077, 'mac': 1078, 'frozen': 1079, 'troubl': 1080, 'gotten': 1081, 'eye': 1082, 'breath': 1083, 'flax': 1084, 'internet': 1085, 'slim': 1086, 'die': 1087, 'certifi': 1088, 'fruiti': 1089, 'cane': 1090, 'hearti': 1091, 'macaroni': 1092, 'measur': 1093, 'becam': 1094, 'young': 1095, 'mocha': 1096, 'air': 1097, 'strang': 1098, 'shrimp': 1099, 'basket': 1100, 'question': 1101, 'pecan': 1102, 'crush': 1103, 'snap': 1104, 'jack': 1105, 'vendor': 1106, 'pea': 1107, 'mccann': 1108, 'apart': 1109, 'guest': 1110, 'door': 1111, 'descript': 1112, 'bill': 1113, 'forev': 1114, 'loss': 1115, 'rave': 1116, 'pump': 1117, 'crystal': 1118, 'miner': 1119, 'develop': 1120, 'hesit': 1121, 'grab': 1122, 'email': 1123, 'updat': 1124, 'larabar': 1125, 'success': 1126, 'carrot': 1127, 'rare': 1128, 'mixtur': 1129, 'walk': 1130, 'bigger': 1131, 'filler': 1132, 'sooth': 1133, 'essenti': 1134, 'steel': 1135, 'msg': 1136, 'jim': 1137, 'empti': 1138, 'weird': 1139, 'solid': 1140, 'grind': 1141, 'tangi': 1142, 'greasi': 1143, 'marinad': 1144, 'lab': 1145, 'damag': 1146, 'kettl': 1147, 'sens': 1148, 'manag': 1149, 'rooibo': 1150, 'doubt': 1151, 'toss': 1152, 'defin': 1153, 'tooth': 1154, 'dissolv': 1155, 'bergamot': 1156, 'basil': 1157, 'support': 1158, 'sweeter': 1159, 'freez': 1160, 'pain': 1161, 'scoop': 1162, 'reach': 1163, 'finicki': 1164, 'gas': 1165, 'firm': 1166, 'handl': 1167, 'constant': 1168, 'lbs': 1169, 'mug': 1170, 'fell': 1171, 'trade': 1172, 'intak': 1173, 'sprout': 1174, 'versatil': 1175, 'pleasur': 1176, 'aromat': 1177, 'strip': 1178, 'hungri': 1179, 'twine': 1180, 'coke': 1181, 'spot': 1182, 'admit': 1183, 'sister': 1184, 'wors': 1185, 'head': 1186, 'rub': 1187, 'blackberri': 1188, 'calcium': 1189, 'dough': 1190, 'drain': 1191, 'kibbl': 1192, 'pud': 1193, 'mellow': 1194, 'forget': 1195, 'unit': 1196, 'california': 1197, 'bbq': 1198, 'layer': 1199, 'press': 1200, 'appar': 1201, 'nutrient': 1202, 'sushi': 1203, 'winner': 1204, 'initi': 1205, 'antioxid': 1206, 'japanes': 1207, 'carbon': 1208, 'ton': 1209, 'medic': 1210, 'pouch': 1211, 'hydrogen': 1212, 'asian': 1213, 'liter': 1214, 'period': 1215, 'girl': 1216, 'island': 1217, 'soak': 1218, 'harvest': 1219, 'palat': 1220, 'slowli': 1221, 'lick': 1222, 'mail': 1223, 'promis': 1224, 'europ': 1225, 'grapefruit': 1226, 'everywher': 1227, 'beer': 1228, 'stuck': 1229, 'sad': 1230, 'common': 1231, 'thus': 1232, 'spent': 1233, 'purpos': 1234, 'cranberri': 1235, 'wake': 1236, 'correct': 1237, 'peppermint': 1238, 'major': 1239, 'posit': 1240, 'comfort': 1241, 'beyond': 1242, 'cube': 1243, 'pizza': 1244, 'hide': 1245, 'prevent': 1246, 'beetlejuic': 1247, 'bother': 1248, 'freezer': 1249, 'comparison': 1250, 'frequent': 1251, 'proper': 1252, 'zero': 1253, 'hershey': 1254, 'bare': 1255, 'liver': 1256, 'fructos': 1257, 'dad': 1258, 'nectar': 1259, 'refund': 1260, 'pamela': 1261, 'dent': 1262, 'effort': 1263, 'maintain': 1264, 'anytim': 1265, 'san': 1266, 'alot': 1267, 'method': 1268, 'iron': 1269, 'mango': 1270, 'pastri': 1271, 'usa': 1272, 'scratch': 1273, 'butteri': 1274, 'cardboard': 1275, 'hair': 1276, 'citrus': 1277, 'finger': 1278, 'messi': 1279, 'program': 1280, 'funni': 1281, 'besid': 1282, 'fanci': 1283, 'vari': 1284, 'owner': 1285, 'began': 1286, 'earth': 1287, 'strength': 1288, 'irish': 1289, 'bore': 1290, 'malt': 1291, 'greeni': 1292, 'bright': 1293, 'separ': 1294, 'pull': 1295, 'wash': 1296, 'gain': 1297, 'disgust': 1298, 'despit': 1299, 'nose': 1300, 'memori': 1301, 'chef': 1302, 'basi': 1303, 'jam': 1304, 'bed': 1305, 'coca': 1306, 'throat': 1307, 'middl': 1308, 'superb': 1309, 'face': 1310, 'bewar': 1311, 'harder': 1312, 'bonus': 1313, 'contact': 1314, 'activ': 1315, 'pup': 1316, 'ran': 1317, 'man': 1318, 'bargain': 1319, 'carbohydr': 1320, 'cola': 1321, 'twist': 1322, 'subscrib': 1323, 'rins': 1324, 'diamond': 1325, 'tofu': 1326, 'softer': 1327, 'buck': 1328, 'commerci': 1329, 'spoil': 1330, 'upset': 1331, 'secret': 1332, 'among': 1333, 'post': 1334, 'truffl': 1335, 'signific': 1336, 'plate': 1337, 'fig': 1338, 'grade': 1339, 'dust': 1340, 'chamomil': 1341, 'shred': 1342, 'workout': 1343, 'wholesom': 1344, 'grate': 1345, 'itali': 1346, 'walnut': 1347, 'stori': 1348, 'refus': 1349, 'odd': 1350, 'attent': 1351, 'fortun': 1352, 'colleg': 1353, 'kernel': 1354, 'min': 1355, 'threw': 1356, 'occas': 1357, 'imposs': 1358, 'emerald': 1359, 'ultim': 1360, 'breast': 1361, 'sun': 1362, 'trader': 1363, 'celesti': 1364, 'xylitol': 1365, 'dead': 1366, 'skeptic': 1367, 'dice': 1368, 'latt': 1369, 'swallow': 1370, 'sharp': 1371, 'parent': 1372, 'lighter': 1373, 'info': 1374, 'canist': 1375, 'god': 1376, 'ten': 1377, 'awar': 1378, 'robust': 1379, 'town': 1380, 'meet': 1381, 'hip': 1382, 'pumpkin': 1383, 'childhood': 1384, 'appeal': 1385, 'savori': 1386, 'german': 1387, 'cent': 1388, 'retail': 1389, 'leftov': 1390, 'sardin': 1391, 'habit': 1392, 'mate': 1393, 'older': 1394, 'wide': 1395, 'lean': 1396, 'stress': 1397, 'fake': 1398, 'unusu': 1399, 'magnesium': 1400, 'thumb': 1401, 'satur': 1402, 'experienc': 1403, 'sugari': 1404, 'barley': 1405, 'flop': 1406, 'litter': 1407, 'aerogarden': 1408, 'subscript': 1409, 'sign': 1410, 'exampl': 1411, 'econom': 1412, 'shot': 1413, 'shelv': 1414, 'excess': 1415, 'edit': 1416, 'awhil': 1417, 'hear': 1418, 'mile': 1419, 'suffer': 1420, 'frank': 1421, 'center': 1422, 'indic': 1423, 'lucki': 1424, 'assum': 1425, 'ador': 1426, 'trust': 1427, 'batter': 1428, 'dietari': 1429, 'elimin': 1430, 'nana': 1431, 'step': 1432, 'luck': 1433, 'brother': 1434, 'kill': 1435, 'pearl': 1436, 'famous': 1437, 'peel': 1438, 'promot': 1439, 'fashion': 1440, 'locat': 1441, 'specif': 1442, 'bull': 1443, 'thicker': 1444, 'rope': 1445, 'penni': 1446, 'term': 1447, 'toler': 1448, 'shock': 1449, 'clove': 1450, 'minim': 1451, 'answer': 1452, 'america': 1453, 'fed': 1454, 'kitten': 1455, 'stuf': 1456, 'spring': 1457, 'gross': 1458, 'yeah': 1459, 'fatti': 1460, 'disappear': 1461, 'puff': 1462, 'creme': 1463, 'reward': 1464, 'throughout': 1465, 'inde': 1466, 'munch': 1467, 'tiger': 1468, 'tongu': 1469, 'greatest': 1470, 'report': 1471, 'squar': 1472, 'manner': 1473, 'chipotl': 1474, 'crack': 1475, 'seafood': 1476, 'burton': 1477, 'entertain': 1478, 'steam': 1479, 'molass': 1480, 'mexican': 1481, 'poop': 1482, 'odor': 1483, 'path': 1484, 'unabl': 1485, 'smart': 1486, 'oili': 1487, 'ear': 1488, 'trick': 1489, 'temperatur': 1490, 'york': 1491, 'cafe': 1492, 'infus': 1493, 'drive': 1494, 'reaction': 1495, 'intend': 1496, 'protect': 1497, 'rees': 1498, 'con': 1499, 'toddler': 1500, 'gentl': 1501, 'multipl': 1502, 'destroy': 1503, 'gobbl': 1504, 'altoid': 1505, 'glycem': 1506, 'tim': 1507, 'pressur': 1508, 'sunflow': 1509, 'featur': 1510, 'fragrant': 1511, 'darjeel': 1512, 'smile': 1513, 'generous': 1514, 'lamb': 1515, 'matcha': 1516, 'kong': 1517, 'taco': 1518, 'diagnos': 1519, 'charact': 1520, 'beg': 1521, 'guilti': 1522, 'ill': 1523, 'cute': 1524, 'tasteless': 1525, 'potassium': 1526, 'slow': 1527, 'punch': 1528, 'decad': 1529, 'illi': 1530, 'inch': 1531, 'cilantro': 1532, 'parmesan': 1533, 'mistak': 1534, 'chewer': 1535, 'moistur': 1536, 'oolong': 1537, 'england': 1538, 'fight': 1539, 'nutiva': 1540, 'hole': 1541, 'moment': 1542, 'spearmint': 1543, 'citi': 1544, 'faster': 1545, 'rebecca': 1546, 'filter': 1547, 'match': 1548, 'highest': 1549, 'gallon': 1550, 'therefor': 1551, 'caution': 1552, 'road': 1553, 'link': 1554, 'class': 1555, 'ride': 1556, 'pair': 1557, 'hey': 1558, 'immun': 1559, 'leg': 1560, 'passion': 1561, 'desk': 1562, 'smoki': 1563, 'father': 1564, 'alcohol': 1565, 'afraid': 1566, 'indulg': 1567, 'unbeliev': 1568, 'germani': 1569, 'accept': 1570, 'darn': 1571, 'dozen': 1572, 'goji': 1573, 'via': 1574, 'tastier': 1575, 'request': 1576, 'wateri': 1577, 'teabag': 1578, 'rawhid': 1579, 'european': 1580, 'foil': 1581, 'guarante': 1582, 'burnt': 1583, 'bet': 1584, 'will': 1585, 'creamer': 1586, 'ladi': 1587, 'danger': 1588, 'metal': 1589, 'ham': 1590, 'whip': 1591, 'buyer': 1592, 'factor': 1593, 'sweetner': 1594, 'brewer': 1595, 'turkish': 1596, 'inexpens': 1597, 'complain': 1598, 'regret': 1599, 'appetit': 1600, 'watcher': 1601, 'stove': 1602, 'apricot': 1603, 'hemp': 1604, 'prior': 1605, 'wrapper': 1606, 'reciev': 1607, 'squeez': 1608, 'edg': 1609, 'brush': 1610, 'dream': 1611, 'familiar': 1612, 'onto': 1613, 'downsid': 1614, 'discount': 1615, 'partial': 1616, 'assam': 1617, 'target': 1618, 'fluffi': 1619, 'cure': 1620, 'behind': 1621, 'dens': 1622, 'moder': 1623, 'tube': 1624, 'mrs': 1625, 'aspartam': 1626, 'cow': 1627, 'gluten-fre': 1628, 'clementin': 1629, 'eventu': 1630, 'releas': 1631, 'shown': 1632, 'regard': 1633, 'finest': 1634, 'rise': 1635, 'acquir': 1636, 'ahead': 1637, 'biscotti': 1638, 'front': 1639, 'own': 1640, 'sore': 1641, 'split': 1642, 'cupboard': 1643, 'hamburg': 1644, 'ramen': 1645, 'felin': 1646, 'floor': 1647, 'muscl': 1648, 'lol': 1649, 'pineappl': 1650, 'jump': 1651, 'mushi': 1652, 'walmart': 1653, 'pita': 1654, 'counter': 1655, 'dvd': 1656, 'win': 1657, 'push': 1658, 'texa': 1659, 'tub': 1660, 'neither': 1661, 'waffl': 1662, 'choke': 1663, 'rishi': 1664, 'approxim': 1665, 'attract': 1666, 'intoler': 1667, 'speak': 1668, 'starch': 1669, 'mixer': 1670, 'clump': 1671, 'studi': 1672, 'crash': 1673, 'up': 1674, 'lavend': 1675, 'purs': 1676, 'cal': 1677, 'print': 1678, 'blender': 1679, 'desir': 1680, 'rye': 1681, 'exot': 1682, 'guilt': 1683, 'bacon': 1684, 'opportun': 1685, 'member': 1686, 'spanish': 1687, 'eas': 1688, 'solut': 1689, 'discontinu': 1690, 'attempt': 1691, 'toaster': 1692, 'lettuc': 1693, 'club': 1694, 'sampler': 1695, 'tummi': 1696, 'fussi': 1697, 'hurt': 1698, 'cancer': 1699, 'restrict': 1700, 'trail': 1701, 'paw': 1702, 'smokey': 1703, 'spray': 1704, 'household': 1705, 'grocer': 1706, 'soooo': 1707, 'coupon': 1708, 'act': 1709, 'mysteri': 1710, 'bedtim': 1711, 'compliment': 1712, 'convent': 1713, 'chocolatey': 1714, 'closest': 1715, 'mushroom': 1716, 'variat': 1717, 'emerg': 1718, 'fudg': 1719, 'canada': 1720, 'rum': 1721, 'java': 1722, 'rais': 1723, 'repeat': 1724, 'drawback': 1725, 'thorough': 1726, 'cap': 1727, 'grinder': 1728, 'soggi': 1729, 'kinda': 1730, 'pinch': 1731, 'unpleas': 1732, 'edibl': 1733, 'bigelow': 1734, 'pink': 1735, 'scienc': 1736, 'settl': 1737, 'recal': 1738, 'death': 1739, 'specialti': 1740, 'bakeri': 1741, 'stone': 1742, 'eight': 1743, 'symptom': 1744, 'earthi': 1745, 'india': 1746, 'east': 1747, 'thru': 1748, 'cant': 1749, 'somewher': 1750, 'delect': 1751, 'overnight': 1752, 'wise': 1753, 'valley': 1754, 'seven': 1755, 'substanti': 1756, 'adjust': 1757, 'mark': 1758, 'starter': 1759, 'till': 1760, 'fond': 1761, 'supplier': 1762, 'reorder': 1763, 'nacho': 1764, 'vomit': 1765, 'peac': 1766, 'caught': 1767, 'lead': 1768, 'titl': 1769, 'rid': 1770, 'rush': 1771, 'affect': 1772, 'involv': 1773, 'elsewher': 1774, 'resembl': 1775, 'crab': 1776, 'deserv': 1777, 'drip': 1778, 'cardamom': 1779, 'pad': 1780, 'degre': 1781, 'rang': 1782, 'relief': 1783, 'group': 1784, 'seattl': 1785, 'collect': 1786, 'floral': 1787, 'milder': 1788, 'nestl': 1789, 'yard': 1790, 'fli': 1791, 'minor': 1792, 'burst': 1793, 'popper': 1794, 'obtain': 1795, 'asid': 1796, 'costco': 1797, 'nutmeg': 1798, 'virgin': 1799, 'teriyaki': 1800, 'prime': 1801, 'multigrain': 1802, 'perform': 1803, 'forc': 1804, 'reserv': 1805, 'hibiscus': 1806, 'pear': 1807, 'evapor': 1808, 'fire': 1809, 'savor': 1810, 'virtual': 1811, 'flat': 1812, 'weather': 1813, 'merrick': 1814, 'ratio': 1815, 'resist': 1816, 'that': 1817, 'carton': 1818, 'challeng': 1819, 'saver': 1820, 'dehydr': 1821, 'quaker': 1822, 'grass': 1823, 'bug': 1824, 'unsweeten': 1825, 'lollipop': 1826, 'student': 1827, 'somehow': 1828, 'spit': 1829, 'wood': 1830, 'lemongrass': 1831, 'creativ': 1832, 'fail': 1833, 'overpr': 1834, 'news': 1835, 'competit': 1836, 'tabasco': 1837, 'douw': 1838, 'scare': 1839, 'respect': 1840, 'sausag': 1841, 'distribut': 1842, 'pepperi': 1843, 'numer': 1844, 'decaffein': 1845, 'sooo': 1846, 'storag': 1847, 'fool': 1848, 'heal': 1849, 'risk': 1850, 'iam': 1851, 'miracl': 1852, 'mari': 1853, 'skip': 1854, 'dental': 1855, 'space': 1856, 'ami': 1857, 'focus': 1858, 'track': 1859, 'materi': 1860, 'non': 1861, 'approv': 1862, 'thrown': 1863, 'weekend': 1864, 'corner': 1865, 'section': 1866, 'recomend': 1867, 'shini': 1868, 'refer': 1869, 'bonsai': 1870, 'stinki': 1871, 'aid': 1872, 'folger': 1873, 'earlier': 1874, 'primarili': 1875, 'suck': 1876, 'wont': 1877, 'weigh': 1878, 'broccoli': 1879, 'simmer': 1880, 'decreas': 1881, 'kellogg': 1882, 'hunger': 1883, 'divin': 1884, 'unhealthi': 1885, 'buffalo': 1886, 'parsley': 1887, 'sustain': 1888, 'hummus': 1889, 'echinacea': 1890, 'tinkyada': 1891, 'rescu': 1892, 'sudden': 1893, 'catch': 1894, 'keaton': 1895, 'desert': 1896, 'toward': 1897, 'consumpt': 1898, 'ordinari': 1899, 'cider': 1900, 'spare': 1901, 'palm': 1902, 'bun': 1903, 'egbert': 1904, 'loaf': 1905, 'pickl': 1906, 'nake': 1907, 'consider': 1908, 'intact': 1909, 'juici': 1910, 'pace': 1911, 'cheesi': 1912, 'associ': 1913, 'smoother': 1914, 'ceylon': 1915, 'quarter': 1916, 'centuri': 1917, 'meant': 1918, 'coast': 1919, 'everlast': 1920, 'stain': 1921, 'rough': 1922, 'soymilk': 1923, 'fur': 1924, 'assur': 1925, 'suspect': 1926, 'complement': 1927, 'necessari': 1928, 'wing': 1929, 'refil': 1930, 'silver': 1931, 'toffe': 1932, 'zuke': 1933, 'page': 1934, 'reseal': 1935, 'cooker': 1936, 'kombucha': 1937, 'snapper': 1938, 'welcom': 1939, 'fresher': 1940, 'tight': 1941, 'garbag': 1942, 'advis': 1943, 'sensat': 1944, 'mayo': 1945, 'dash': 1946, 'ideal': 1947, 'condiment': 1948, 'self': 1949, 'tear': 1950, 'darker': 1951, 'fulli': 1952, 'southern': 1953, 'cough': 1954, 'hubbi': 1955, 'potent': 1956, 'cross': 1957, 'dilut': 1958, 'catnip': 1959, 'marin': 1960, 'properti': 1961, 'sucralos': 1962, 'reliev': 1963, 'sport': 1964, 'cramp': 1965, 'tempt': 1966, 'burger': 1967, 'cabinet': 1968, 'hike': 1969, 'fear': 1970, 'rainforest': 1971, 'lactos': 1972, 'index': 1973, 'innova': 1974, 'asin': 1975, 'miso': 1976, 'fragranc': 1977, 'insan': 1978, 'chill': 1979, 'ridicul': 1980, 'boot': 1981, 'british': 1982, 'crema': 1983, 'luxuri': 1984, 'fault': 1985, 'stumbl': 1986, 'scrumptious': 1987, 'nibbl': 1988, 'dump': 1989, 'explain': 1990, 'exclus': 1991, 'rosemari': 1992, 'eleg': 1993, 'convert': 1994, 'leak': 1995, 'doggi': 1996, 'appropri': 1997, 'afterward': 1998, 'hunt': 1999, 'flaxse': 2000, 'hodgson': 2001, 'omega': 2002, 'evo': 2003, 'concept': 2004, 'mere': 2005, 'vacat': 2006, 'laugh': 2007, 'ruin': 2008, 'everybodi': 2009, 'reminisc': 2010, 'teapot': 2011, 'anis': 2012, 'credit': 2013, 'appli': 2014, 'lobster': 2015, 'dissapoint': 2016, 'ignor': 2017, 'hundr': 2018, 'advantag': 2019, 'lip': 2020, 'swear': 2021, 'neighbor': 2022, 'pig': 2023, 'west': 2024, 'curious': 2025, 'citric': 2026, 'whey': 2027, 'routin': 2028, 'biggest': 2029, 'extend': 2030, 'spike': 2031, 'whose': 2032, 'mood': 2033, 'display': 2034, 'born': 2035, 'gel': 2036, 'stage': 2037, 'percent': 2038, 'gotta': 2039, 'skim': 2040, 'conscious': 2041, 'automat': 2042, 'clam': 2043, 'oppos': 2044, 'yuck': 2045, 'chain': 2046, 'bush': 2047, 'custard': 2048, 'needless': 2049, 'essenc': 2050, 'transit': 2051, 'broke': 2052, 'feast': 2053, 'joy': 2054, 'munchi': 2055, 'happili': 2056, 'jean': 2057, 'dose': 2058, 'vine': 2059, 'basmati': 2060, 'maxwel': 2061, 'richer': 2062, 'bay': 2063, 'recipi': 2064, 'confirm': 2065, 'element': 2066, 'stool': 2067, 'convinc': 2068, 'lie': 2069, 'region': 2070, 'clif': 2071, 'suitabl': 2072, 'reliabl': 2073, 'bath': 2074, 'paprika': 2075, 'pros': 2076, 'truth': 2077, 'function': 2078, 'build': 2079, 'japan': 2080, 'belgian': 2081, 'volum': 2082, 'tastiest': 2083, 'encourag': 2084, 'culinari': 2085, 'golean': 2086, 'inner': 2087, 'growth': 2088, 'everytim': 2089, 'male': 2090, 'whatsoev': 2091, 'boyfriend': 2092, 'recycl': 2093, 'potenti': 2094, 'tray': 2095, 'mislead': 2096, 'chose': 2097, 'portabl': 2098, 'giant': 2099, 'lay': 2100, 'advic': 2101, 'cloth': 2102, 'written': 2103, 'intern': 2104, 'kidney': 2105, 'camp': 2106, 'florida': 2107, 'tsp': 2108, 'former': 2109, 'expert': 2110, 'access': 2111, 'dig': 2112, 'retriev': 2113, 'substanc': 2114, 'stew': 2115, 'goodi': 2116, 'absorb': 2117, 'swiss': 2118, 'ensur': 2119, 'healthiest': 2120, 'shame': 2121, 'nurs': 2122, 'depart': 2123, 'drawer': 2124, 'ring': 2125, 'breed': 2126, 'shirataki': 2127, 'prune': 2128, 'liquor': 2129, 'duck': 2130, 'fragil': 2131, 'dalfour': 2132, 'exercis': 2133, 'graham': 2134, 'twin': 2135, 'metabol': 2136, 'fewer': 2137, 'lentil': 2138, 'michael': 2139, 'surfac': 2140, 'invent': 2141, 'zen': 2142, 'lazi': 2143, 'jamaica': 2144, 'joke': 2145, 'sumatra': 2146, 'master': 2147, 'faint': 2148, 'tropic': 2149, 'soap': 2150, 'silk': 2151, 'leonida': 2152, 'met': 2153, 'drug': 2154, 'harm': 2155, 'envelop': 2156, 'durabl': 2157, 'outrag': 2158, 'quart': 2159, 'greas': 2160, 'goat': 2161, 'lavazza': 2162, 'moth': 2163, 'rancid': 2164, 'sturdi': 2165, 'seawe': 2166, 'straw': 2167, 'pronounc': 2168, 'minc': 2169, 'tad': 2170, 'occur': 2171, 'fishi': 2172, 'address': 2173, 'regardless': 2174, 'devour': 2175, 'lara': 2176, 'graini': 2177, 'terrier': 2178, 'capsul': 2179, 'planet': 2180, 'baker': 2181, 'gloria': 2182, 'cacao': 2183, 'barbara': 2184, 'wear': 2185, 'charm': 2186, 'vote': 2187, 'land': 2188, 'respond': 2189, 'prove': 2190, 'beach': 2191, 'aspect': 2192, 'cuppa': 2193, 'spinach': 2194, 'doesnt': 2195, 'blow': 2196, 'vital': 2197, 'histori': 2198, 'profession': 2199, 'balsam': 2200, 'subject': 2201, 'frog': 2202, 'cancel': 2203, 'schedul': 2204, 'mad': 2205, 'situat': 2206, 'mexico': 2207, 'neat': 2208, 'nervous': 2209, 'bouillon': 2210, 'lemonad': 2211, 'med': 2212, 'didnt': 2213, 'bagel': 2214, 'rubber': 2215, 'wrote': 2216, 'phone': 2217, 'detail': 2218, 'alfredo': 2219, 'prescript': 2220, 'pit': 2221, 'splash': 2222, 'cheesecak': 2223, 'grandmoth': 2224, 'dislik': 2225, 'gingerbread': 2226, 'accompani': 2227, 'buddi': 2228, 'entre': 2229, 'chow': 2230, 'indoor': 2231, 'chex': 2232, 'nyc': 2233, 'proud': 2234, 'baldwin': 2235, 'king': 2236, 'fortifi': 2237, 'remark': 2238, 'airtight': 2239, 'worm': 2240, 'rib': 2241, 'user': 2242, 'genuin': 2243, 'key': 2244, 'game': 2245, 'barri': 2246, 'greater': 2247, 'recogn': 2248, 'ranch': 2249, 'rule': 2250, 'grant': 2251, 'event': 2252, 'meati': 2253, 'border': 2254, 'flush': 2255, 'holder': 2256, 'industri': 2257, 'boston': 2258, 'ident': 2259, 'franc': 2260, 'feet': 2261, 'bliss': 2262, 'awak': 2263, 'confus': 2264, 'concoct': 2265, 'surgeri': 2266, 'shortbread': 2267, 'wasabi': 2268, 'tonight': 2269, 'lowest': 2270, 'swedish': 2271, 'reccomend': 2272, 'lift': 2273, 'disc': 2274, 'peko': 2275, 'mmmm': 2276, 'greek': 2277, 'satisfact': 2278, 'marmalad': 2279, 'zing': 2280, 'cheeto': 2281, 'delux': 2282, 'urg': 2283, 'googl': 2284, 'jolli': 2285, 'avid': 2286, 'sink': 2287, 'seek': 2288, 'amino': 2289, 'evolut': 2290, 'hydrat': 2291, 'k-cup': 2292, 'gritti': 2293, 'trial': 2294, 'torani': 2295, 'smokehous': 2296, 'tulli': 2297, 'catfood': 2298, 'cumin': 2299, 'angel': 2300, 'henc': 2301, 'pee': 2302, 'abil': 2303, 'nativ': 2304, 'ancient': 2305, 'cocktail': 2306, 'cowork': 2307, 'trace': 2308, 'nutella': 2309, 'suit': 2310, 'junki': 2311, 'cycl': 2312, 'inspir': 2313, 'soil': 2314, 'million': 2315, 'luckili': 2316, 'midnight': 2317, 'photo': 2318, 'slip': 2319, 'teenag': 2320, 'dare': 2321, 'articl': 2322, 'profil': 2323, 'lock': 2324, 'warehous': 2325, 'favourit': 2326, 'snob': 2327, 'stimul': 2328, 'backpack': 2329, 'accustom': 2330, 'david': 2331, 'barbecu': 2332, 'speed': 2333, 'silki': 2334, 'listen': 2335, 'knock': 2336, 'retain': 2337, 'energ': 2338, 'btw': 2339, 'heck': 2340, 'floweri': 2341, 'qualifi': 2342, 'scone': 2343, 'struggl': 2344, 'overcook': 2345, 'stem': 2346, 'sam': 2347, 'alert': 2348, 'expresso': 2349, 'linda': 2350, 'tablet': 2351, 'lump': 2352, 'glutino': 2353, 'bell': 2354, 'toxic': 2355, 'coin': 2356, 'shed': 2357, 'poison': 2358, 'listmania': 2359, 'supris': 2360, 'anticip': 2361, 'coars': 2362, 'powderi': 2363, 'costa': 2364, 'diarrhea': 2365, 'lake': 2366, 'board': 2367, 'attach': 2368, 'scene': 2369, 'theater': 2370, 'alec': 2371, 'video': 2372, 'spill': 2373, 'adventur': 2374, 'unavail': 2375, 'rank': 2376, 'repres': 2377, 'card': 2378, 'granul': 2379, 'caffin': 2380, 'germ': 2381, 'held': 2382, 'decis': 2383, 'brittl': 2384, 'yesterday': 2385, 'judg': 2386, 'safeway': 2387, 'heap': 2388, 'exquisit': 2389, 'unexpect': 2390, 'tax': 2391, 'mum': 2392, 'marvel': 2393, 'easter': 2394, 'nation': 2395, 'desper': 2396, 'determin': 2397, 'bark': 2398, 'thirst': 2399, 'cultur': 2400, 'mmm': 2401, 'laxat': 2402, 'pregnant': 2403, 'meow': 2404, 'happier': 2405, 'thousand': 2406, 'applesauc': 2407, 'suffici': 2408, 'solv': 2409, 'drinkabl': 2410, 'lifesav': 2411, 'cappuccino': 2412, 'evid': 2413, 'deriv': 2414, 'block': 2415, 'confid': 2416, 'saucepan': 2417, 'quot': 2418, 'genet': 2419, 'valentin': 2420, 'equival': 2421, 'nine': 2422, 'scarf': 2423, 'tapioca': 2424, 'dill': 2425, 'ketchup': 2426, 'planter': 2427, 'pesto': 2428, 'disagre': 2429, 'discern': 2430, 'saponin': 2431, 'june': 2432, 'thinner': 2433, 'gym': 2434, 'puf': 2435, 'couscous': 2436, 'vodka': 2437, 'davi': 2438, 'novemb': 2439, 'proven': 2440, 'float': 2441, 'adopt': 2442, 'gather': 2443, 'purpl': 2444, 'prais': 2445, 'wherea': 2446, 'readili': 2447, 'field': 2448, 'project': 2449, 'younger': 2450, 'closer': 2451, 'sight': 2452, 'bloom': 2453, 'shower': 2454, 'stink': 2455, 'gag': 2456, 'rip': 2457, 'mass': 2458, 'treasur': 2459, 'niacin': 2460, 'yunnan': 2461, 'marmit': 2462, 'soften': 2463, 'steal': 2464, 'corpor': 2465, 'annoy': 2466, 'foam': 2467, 'impart': 2468, 'bunni': 2469, 'appet': 2470, 'hawaii': 2471, 'zest': 2472, 'clay': 2473, 'blossom': 2474, 'perfum': 2475, 'elder': 2476, 'lite': 2477, 'deli': 2478, 'sole': 2479, 'outdoor': 2480, 'chunki': 2481, 'wed': 2482, 'flossi': 2483, 'plump': 2484, 'tool': 2485, 'trash': 2486, 'donut': 2487, 'flaki': 2488, 'booti': 2489, 'headach': 2490, 'paul': 2491, 'ghirardelli': 2492, 'reheat': 2493, 'notch': 2494, 'compass': 2495, 'fuss': 2496, 'pungent': 2497, 'rapid': 2498, 'inhal': 2499, 'vacuum': 2500, 'glaze': 2501, 'attack': 2502, 'tape': 2503, 'contamin': 2504, 'approach': 2505, 'muesli': 2506, 'nearbi': 2507, 'dirti': 2508, 'kava': 2509, 'peppercorn': 2510, 'grace': 2511, 'cheerio': 2512, 'joint': 2513, 'poodl': 2514, 'fenugreek': 2515, 'casserol': 2516, 'pistachio': 2517, 'gooey': 2518, 'occupi': 2519, 'modifi': 2520, 'staci': 2521, 'spelt': 2522, 'tripl': 2523, 'seri': 2524, 'art': 2525, 'toothpick': 2526, 'aliv': 2527, 'danc': 2528, 'fare': 2529, 'north': 2530, 'surviv': 2531, 'electrolyt': 2532, 'dutch': 2533, 'infect': 2534, 'knife': 2535, 'difficulti': 2536, 'tag': 2537, 'women': 2538, 'chase': 2539, 'factori': 2540, 'social': 2541, 'generic': 2542, 'enter': 2543, 'revolut': 2544, 'linger': 2545, 'estim': 2546, 'marzipan': 2547, 'tang': 2548, 'record': 2549, 'godiva': 2550, 'incorrect': 2551, 'nonetheless': 2552, 'harsh': 2553, 'juli': 2554, 'connoisseur': 2555, 'belgium': 2556, 'tremend': 2557, 'loop': 2558, 'quiet': 2559, 'boneless': 2560, 'primari': 2561, 'bouquet': 2562, 'compet': 2563, 'strainer': 2564, 'safeti': 2565, 'gonna': 2566, 'pirat': 2567, 'delish': 2568, 'squirt': 2569, 'zesti': 2570, 'lemoni': 2571, 'sooner': 2572, 'gunpowd': 2573, 'nois': 2574, 'celeri': 2575, 'glucos': 2576, 'halv': 2577, 'spicey': 2578, 'girlfriend': 2579, 'drizzl': 2580, 'pyramid': 2581, 'choc': 2582, 'margarin': 2583, 'express': 2584, 'pero': 2585, 'frustrat': 2586, 'betti': 2587, 'gatorad': 2588, 'rockstar': 2589, 'jiffi': 2590, 'rabbit': 2591, 'mold': 2592, 'lapsang': 2593, 'honeybush': 2594, 'strict': 2595, 'bird': 2596, 'dye': 2597, 'forgot': 2598, 'grassi': 2599, 'funki': 2600, 'thailand': 2601, 'dingo': 2602, 'margarita': 2603, 'environment': 2604, 'morsel': 2605, 'shepherd': 2606, 'eden': 2607, 'zip': 2608, 'ziti': 2609, 'monitor': 2610, 'ghost': 2611, 'ryder': 2612, 'accid': 2613, 'belov': 2614, 'excus': 2615, 'confect': 2616, 'reli': 2617, 'spong': 2618, 'reput': 2619, 'swirl': 2620, 'gevalia': 2621, 'dave': 2622, 'marshmallow': 2623, 'instanc': 2624, 'stretch': 2625, 'canola': 2626, 'minus': 2627, 'thicken': 2628, 'categori': 2629, 'sing': 2630, 'wound': 2631, 'cajun': 2632, 'jaw': 2633, 'ach': 2634, 'pepsi': 2635, 'dispens': 2636, 'bomb': 2637, 'repli': 2638, 'neighborhood': 2639, 'novel': 2640, 'patient': 2641, 'wax': 2642, 'freshest': 2643, 'merchant': 2644, 'starv': 2645, 'failur': 2646, 'convers': 2647, 'ziploc': 2648, 'peru': 2649, 'lard': 2650, 'hormon': 2651, 'detect': 2652, 'sincer': 2653, 'net': 2654, 'depth': 2655, 'sensibl': 2656, 'smelli': 2657, 'anxious': 2658, 'necessarili': 2659, 'ahmad': 2660, 'alter': 2661, 'chocohol': 2662, 'chive': 2663, 'oregano': 2664, 'farmer': 2665, 'arthriti': 2666, 'formul': 2667, 'nourish': 2668, 'cheapest': 2669, 'bless': 2670, 'sahal': 2671, 'combo': 2672, 'thrive': 2673, 'cleans': 2674, 'bengal': 2675, 'infant': 2676, 'mash': 2677, 'reus': 2678, 'collard': 2679, 'comedi': 2680, 'window': 2681, 'comput': 2682, 'maitland': 2683, 'distinguish': 2684, 'treatment': 2685, 'winona': 2686, 'critic': 2687, 'sand': 2688, 'forest': 2689, 'perk': 2690, 'african': 2691, 'melitta': 2692, 'button': 2693, 'africa': 2694, 'urinari': 2695, 'smallest': 2696, 'gorgeous': 2697, 'bloat': 2698, 'enthusiast': 2699, 'led': 2700, 'unnecessari': 2701, 'madagascar': 2702, 'dunk': 2703, 'stamp': 2704, 'fluid': 2705, 'percentag': 2706, 'expos': 2707, 'tonic': 2708, 'chicago': 2709, 'nabisco': 2710, 'donat': 2711, 'brussel': 2712, 'splurg': 2713, 'lap': 2714, 'bang': 2715, 'station': 2716, 'tail': 2717, 'petsmart': 2718, 'carpet': 2719, 'letter': 2720, 'spain': 2721, 'minimum': 2722, 'sniff': 2723, 'aunt': 2724, 'curb': 2725, 'protien': 2726, 'crix': 2727, 'chocolati': 2728, 'fraction': 2729, 'generat': 2730, 'residu': 2731, 'yorki': 2732, 'ined': 2733, 'uncl': 2734, 'secur': 2735, 'walden': 2736, 'transact': 2737, 'buri': 2738, 'aggress': 2739, 'thyme': 2740, 'sooooo': 2741, 'accur': 2742, 'runni': 2743, 'endors': 2744, 'aerogrow': 2745, 'mush': 2746, 'exist': 2747, 'environ': 2748, 'crowd': 2749, 'relish': 2750, 'author': 2751, 'vagu': 2752, 'demand': 2753, 'enfamil': 2754, 'hang': 2755, 'buzz': 2756, 'nonni': 2757, 'grandchildren': 2758, 'august': 2759, 'foodi': 2760, 'lundberg': 2761, 'jitter': 2762, 'cornbread': 2763, 'cupcak': 2764, 'patak': 2765, 'tie': 2766, 'decor': 2767, 'cri': 2768, 'cast': 2769, 'surround': 2770, 'dirt': 2771, 'oper': 2772, 'russel': 2773, 'suprem': 2774, 'novelti': 2775, 'caveat': 2776, 'styrofoam': 2777, 'balm': 2778, 'scrambl': 2779, 'januari': 2780, 'error': 2781, 'commit': 2782, 'insist': 2783, 'quirki': 2784, 'sinus': 2785, 'breeder': 2786, 'imho': 2787, 'rain': 2788, 'grand': 2789, 'race': 2790, 'insert': 2791, 'creation': 2792, 'shaker': 2793, 'electr': 2794, 'ration': 2795, 'hors': 2796, 'shine': 2797, 'yield': 2798, 'sunday': 2799, 'exchang': 2800, 'dine': 2801, 'allergen': 2802, 'damn': 2803, 'artif': 2804, 'oregon': 2805, 'alik': 2806, 'retro': 2807, 'purina': 2808, 'reccommend': 2809, 'grandkid': 2810, 'expand': 2811, 'spectacular': 2812, 'cytomax': 2813, 'gradual': 2814, 'patti': 2815, 'thaw': 2816, 'fork': 2817, 'easiest': 2818, 'imit': 2819, 'scale': 2820, 'gulp': 2821, 'contrast': 2822, 'namast': 2823, 'tassimo': 2824, 'mental': 2825, 'physic': 2826, 'northern': 2827, 'anxieti': 2828, 'macadamia': 2829, 'pro': 2830, 'crate': 2831, 'sophist': 2832, 'freshen': 2833, 'myrtl': 2834, 'observ': 2835, 'halloween': 2836, 'ireland': 2837, 'jug': 2838, 'crap': 2839, 'loyal': 2840, 'blame': 2841, 'mandarin': 2842, 'peak': 2843, 'inferior': 2844, 'intestin': 2845, 'kroger': 2846, 'cell': 2847, 'taylor': 2848, 'enrich': 2849, 'exceed': 2850, 'heinz': 2851, 'stack': 2852, 'grandma': 2853, 'constip': 2854, 'hassl': 2855, 'presenc': 2856, 'antibiot': 2857, 'krispi': 2858, 'domin': 2859, 'souchong': 2860, 'magazin': 2861, 'grandson': 2862, 'largest': 2863, 'zico': 2864, 'sachet': 2865, 'public': 2866, 'jalapeno': 2867, 'anchovi': 2868, 'shelti': 2869, 'dorito': 2870, 'facil': 2871, 'hull': 2872, 'senior': 2873, 'liquoric': 2874, 'hurri': 2875, 'brazil': 2876, 'rancher': 2877, 'chowder': 2878, 'rica': 2879, 'ritz': 2880, 'brain': 2881, 'crawfish': 2882, 'adam': 2883, 'action': 2884, 'score': 2885, 'geena': 2886, 'decemb': 2887, 'steadi': 2888, 'vend': 2889, 'francisco': 2890, 'jamaican': 2891, 'adequ': 2892, 'specifi': 2893, 'poppi': 2894, 'horror': 2895, 'versus': 2896, 'celebr': 2897, 'accident': 2898, 'bathroom': 2899, 'temptat': 2900, 'hometown': 2901, 'pacif': 2902, 'nowher': 2903, 'stanley': 2904, 'firmer': 2905, 'militari': 2906, 'regul': 2907, 'moreov': 2908, 'hospit': 2909, 'femal': 2910, 'twenti': 2911, 'woman': 2912, 'campbel': 2913, 'scissor': 2914, 'spirit': 2915, 'tone': 2916, 'hotel': 2917, 'remot': 2918, 'snow': 2919, 'proof': 2920, 'heritag': 2921, 'forgiv': 2922, 'length': 2923, 'temp': 2924, 'duplic': 2925, 'australian': 2926, 'poultri': 2927, 'recoveri': 2928, 'urin': 2929, 'mainten': 2930, 'pesticid': 2931, 'maltes': 2932, 'heartili': 2933, 'encount': 2934, 'bittersweet': 2935, 'central': 2936, 'fatigu': 2937, 'knowledg': 2938, 'adagio': 2939, 'flow': 2940, 'crop': 2941, 'entic': 2942, 'mmmmm': 2943, 'fee': 2944, 'jerk': 2945, 'aisl': 2946, 'tbsp': 2947, 'strongest': 2948, 'calor': 2949, 'pitcher': 2950, 'orient': 2951, 'itch': 2952, 'chun': 2953, 'foundat': 2954, 'soybean': 2955, 'dispos': 2956, 'code': 2957, 'gem': 2958, 'monster': 2959, 'unsalt': 2960, 'bahlsen': 2961, 'airi': 2962, 'fizzi': 2963, 'soul': 2964, 'yucki': 2965, 'skillet': 2966, 'nutro': 2967, 'scottish': 2968, 'latest': 2969, 'benefici': 2970, 'aspen': 2971, 'bamboo': 2972, 'john': 2973, 'needl': 2974, 'nylabon': 2975, 'ravioli': 2976, 'cet': 2977, 'jello': 2978, 'effici': 2979, 'jitteri': 2980, 'chlorid': 2981, 'bank': 2982, 'gerber': 2983, 'halva': 2984, 'korean': 2985, 'barbequ': 2986, 'yellowfin': 2987, 'dove': 2988, 'mccormick': 2989, 'zevia': 2990, 'blast': 2991, 'clever': 2992, 'transport': 2993, 'hilari': 2994, 'realiti': 2995, 'disapoint': 2996, 'lydia': 2997, 'partner': 2998, 'copi': 2999, 'privat': 3000, 'invest': 3001, 'draw': 3002, 'chicori': 3003, 'overton': 3004, 'columbian': 3005, 'tho': 3006, 'whisk': 3007, 'dramat': 3008, 'toilet': 3009, 'burrito': 3010, 'lifetim': 3011, 'omaha': 3012, 'dessic': 3013, 'auto': 3014, 'froth': 3015, 'disclaim': 3016, 'perman': 3017, 'wolf': 3018, 'war': 3019, 'click': 3020, 'worthi': 3021, 'assist': 3022, 'resort': 3023, 'ocean': 3024, 'util': 3025, 'wipe': 3026, 'grit': 3027, 'nori': 3028, 'princ': 3029, 'syrupi': 3030, 'mighti': 3031, 'malti': 3032, 'www': 3033, 'australia': 3034, 'thanksgiv': 3035, 'henri': 3036, 'canadian': 3037, 'outer': 3038, 'expedit': 3039, 'septemb': 3040, 'goal': 3041, 'ripe': 3042, 'waxi': 3043, 'insulin': 3044, 'nugget': 3045, 'skinless': 3046, 'feedback': 3047, 'eatin': 3048, 'marathon': 3049, 'sacrif': 3050, 'view': 3051, 'row': 3052, 'synthet': 3053, 'messag': 3054, 'snicker': 3055, 'caviti': 3056, 'fda': 3057, 'oxid': 3058, 'taster': 3059, 'cooler': 3060, 'unhappi': 3061, 'strike': 3062, 'ferment': 3063, 'flavorless': 3064, 'anybodi': 3065, 'transfer': 3066, 'men': 3067, 'unprocess': 3068, 'jerkey': 3069, 'reject': 3070, 'carnivor': 3071, 'compon': 3072, 'reflect': 3073, 'pug': 3074, 'loma': 3075, 'gelatin': 3076, 'hotdog': 3077, 'hickori': 3078, 'mount': 3079, 'chilli': 3080, 'hill': 3081, 'petco': 3082, 'fudgi': 3083, 'max': 3084, 'laden': 3085, 'identifi': 3086, 'quench': 3087, 'proceed': 3088, 'sake': 3089, 'heavili': 3090, 'finer': 3091, 'bust': 3092, 'cucumb': 3093, 'ingest': 3094, 'chihuahua': 3095, 'helper': 3096, 'dull': 3097, 'mart': 3098, 'sumatran': 3099, 'law': 3100, 'baggi': 3101, 'probiot': 3102, 'distract': 3103, 'maca': 3104, 'tartar': 3105, 'hempse': 3106, 'crown': 3107, 'lung': 3108, 'tuesday': 3109, 'longest': 3110, 'fizz': 3111, 'powerbar': 3112, 'knorr': 3113, 'ghee': 3114, 'madhous': 3115, 'teach': 3116, 'gopher': 3117, 'sum': 3118, 'visual': 3119, 'silli': 3120, 'flu': 3121, 'energet': 3122, 'steer': 3123, 'friday': 3124, 'dedic': 3125, 'kudo': 3126, 'sucanat': 3127, 'prone': 3128, 'freak': 3129, 'whim': 3130, 'brace': 3131, 'core': 3132, 'howard': 3133, 'scari': 3134, 'bloodi': 3135, 'brick': 3136, 'zinc': 3137, 'sri': 3138, 'introduct': 3139, 'reluct': 3140, 'estat': 3141, 'sin': 3142, 'boylan': 3143, 'mmmmmm': 3144, 'skinni': 3145, 'bravo': 3146, 'attribut': 3147, 'ribbon': 3148, 'string': 3149, 'spoke': 3150, 'taffi': 3151, 'scream': 3152, 'oldest': 3153, 'aka': 3154, 'mouss': 3155, 'lyche': 3156, 'cheer': 3157, 'buckwheat': 3158, 'ultra': 3159, 'languag': 3160, 'affili': 3161, 'matzo': 3162, 'nevertheless': 3163, 'yerba': 3164, 'remedi': 3165, 'dunkin': 3166, 'weaker': 3167, 'asia': 3168, 'foul': 3169, 'colli': 3170, 'voila': 3171, 'pale': 3172, 'sleepytim': 3173, 'porridg': 3174, 'canin': 3175, 'twelv': 3176, 'sneak': 3177, 'slightest': 3178, 'chile': 3179, 'detox': 3180, 'mayonnais': 3181, 'crusti': 3182, 'goldfish': 3183, 'shade': 3184, 'fennel': 3185, 'nephew': 3186, 'intrigu': 3187, 'dollop': 3188, 'sat': 3189, 'curl': 3190, 'divid': 3191, 'watermelon': 3192, 'plum': 3193, 'tuscan': 3194, 'saute': 3195, 'emeril': 3196, 'utter': 3197, 'consequ': 3198, 'hairbal': 3199, 'newton': 3200, 'dieter': 3201, 'precious': 3202, 'portland': 3203, 'soooooo': 3204, 'fals': 3205, 'compromis': 3206, 'sliver': 3207, 'squash': 3208, 'mid': 3209, 'cincinnati': 3210, 'behavior': 3211, 'esp': 3212, 'bike': 3213, 'omg': 3214, 'guacamol': 3215, 'blah': 3216, 'pectin': 3217, 'fourth': 3218, 'ziplock': 3219, 'reusabl': 3220, 'hype': 3221, 'royal': 3222, 'loud': 3223, 'primal': 3224, 'orbit': 3225, 'fox': 3226, 'breadstick': 3227, 'artichok': 3228, 'nib': 3229, 'hagen': 3230, 'dashi': 3231, 'director': 3232, 'fav': 3233, 'journey': 3234, 'jone': 3235, 'oscar': 3236, 'cartoon': 3237, 'amus': 3238, 'orlean': 3239, 'compens': 3240, 'actor': 3241, 'reveal': 3242, 'ive': 3243, 'tract': 3244, 'fellow': 3245, 'wholesal': 3246, 'clint': 3247, 'habanero': 3248, 'trigger': 3249, 'andi': 3250, 'latter': 3251, 'isol': 3252, 'maltodextrin': 3253, 'lanka': 3254, 'plantat': 3255, 'ala': 3256, 'inc': 3257, 'jane': 3258, 'task': 3259, 'caff': 3260, 'filet': 3261, 'amber': 3262, 'vienna': 3263, 'provinc': 3264, 'wall': 3265, 'cavend': 3266, 'wedg': 3267, 'battl': 3268, 'endless': 3269, 'alex': 3270, 'signatur': 3271, 'disturb': 3272, 'sugarfre': 3273, 'obsess': 3274, 'ovaltin': 3275, 'caffien': 3276, 'salami': 3277, 'flight': 3278, 'react': 3279, 'endur': 3280, 'aussi': 3281, 'luden': 3282, 'establish': 3283, 'queen': 3284, 'napa': 3285, 'cloy': 3286, 'millet': 3287, 'hell': 3288, 'flip': 3289, 'pine': 3290, 'youngest': 3291, 'pregnanc': 3292, 'craft': 3293, 'foot': 3294, 'volcan': 3295, 'spicier': 3296, 'park': 3297, 'replenish': 3298, 'hidden': 3299, 'mask': 3300, 'nobodi': 3301, 'unbeat': 3302, 'marinara': 3303, 'eastern': 3304, 'inclin': 3305, 'sleepi': 3306, 'shut': 3307, 'fold': 3308, 'bucket': 3309, 'cookbook': 3310, 'chalki': 3311, 'aluminum': 3312, 'ugh': 3313, 'crocker': 3314, 'caper': 3315, 'bacteria': 3316, 'teacher': 3317, 'companion': 3318, 'wari': 3319, 'insect': 3320, 'satisfactori': 3321, 'trim': 3322, 'boo': 3323, 'birth': 3324, 'lifestyl': 3325, 'saltin': 3326, 'inca': 3327, 'moon': 3328, 'pile': 3329, 'motto': 3330, 'whoever': 3331, 'equip': 3332, 'itchi': 3333, 'distributor': 3334, 'backyard': 3335, 'ahoy': 3336, 'arrowhead': 3337, 'inspect': 3338, 'chock': 3339, 'replic': 3340, 'dha': 3341, 'saut': 3342, 'lesson': 3343, 'sucker': 3344, 'risotto': 3345, 'pellet': 3346, 'postag': 3347, 'creek': 3348, 'chestnut': 3349, 'prep': 3350, 'distanc': 3351, 'shih': 3352, 'lotion': 3353, 'opposit': 3354, 'zinger': 3355, 'erythritol': 3356, 'beagl': 3357, 'orijen': 3358, 'iraq': 3359, 'notifi': 3360, 'benecol': 3361, 'screw': 3362, 'tom': 3363, 'popchip': 3364, 'role': 3365, 'drag': 3366, 'vibrant': 3367, 'thier': 3368, 'consult': 3369, 'march': 3370, 'arabica': 3371, 'band': 3372, 'verbena': 3373, 'tab': 3374, 'harney': 3375, 'pari': 3376, 'creamier': 3377, 'louisiana': 3378, 'fallen': 3379, 'petal': 3380, 'puriti': 3381, 'univers': 3382, 'techniqu': 3383, 'ploy': 3384, 'coco': 3385, 'euro': 3386, 'adapt': 3387, 'elev': 3388, 'incorpor': 3389, 'hunk': 3390, 'drier': 3391, 'smoothest': 3392, 'hawaiian': 3393, 'climat': 3394, 'argu': 3395, 'extraordinari': 3396, 'marbl': 3397, 'wheel': 3398, 'blown': 3399, 'lend': 3400, 'furri': 3401, 'budget': 3402, 'miniatur': 3403, 'dachshund': 3404, 'tastebud': 3405, 'pocki': 3406, 'invigor': 3407, 'wick': 3408, 'twizzler': 3409, 'extens': 3410, 'stabl': 3411, 'retir': 3412, 'integr': 3413, 'nuke': 3414, 'dread': 3415, 'halfway': 3416, 'mission': 3417, 'altogeth': 3418, 'compound': 3419, 'speedi': 3420, 'coff': 3421, 'eager': 3422, 'eagl': 3423, 'friski': 3424, 'captain': 3425, 'anniversari': 3426, 'atkin': 3427, 'uncook': 3428, 'shipper': 3429, 'cone': 3430, 'pat': 3431, 'cayenn': 3432, 'cheat': 3433, 'crepe': 3434, 'applic': 3435, 'linkett': 3436, 'gfcf': 3437, 'turtl': 3438, 'lunchbox': 3439, 'critter': 3440, 'anna': 3441, 'bow': 3442, 'drunk': 3443, 'polit': 3444, 'shoulder': 3445, 'unknown': 3446, 'teasan': 3447, 'mist': 3448, 'orvill': 3449, 'decept': 3450, 'carmel': 3451, 'defici': 3452, 'clock': 3453, 'tap': 3454, 'yuk': 3455, 'colorado': 3456, 'sprite': 3457, 'froot': 3458, 'unclear': 3459, 'sriracha': 3460, 'nitrit': 3461, 'kamut': 3462, 'stray': 3463, 'phenomen': 3464, 'educ': 3465, 'aero': 3466, 'alaska': 3467, 'hello': 3468, 'tortellini': 3469, 'compress': 3470, 'michigan': 3471, 'luscious': 3472, 'approx': 3473, 'turbinado': 3474, 'panko': 3475, 'discard': 3476, 'crude': 3477, 'dumpl': 3478, 'strain': 3479, 'predict': 3480, 'skinner': 3481, 'irresist': 3482, 'minti': 3483, 'similac': 3484, 'fade': 3485, 'stiff': 3486, 'gassi': 3487, 'taint': 3488, 'eukanuba': 3489, 'safer': 3490, 'countless': 3491, 'gastric': 3492, 'deer': 3493, 'rind': 3494, 'conclus': 3495, 'snyder': 3496, 'bentley': 3497, 'boyarde': 3498, 'acai': 3499, 'dilmah': 3500, 'account': 3501, 'hire': 3502, 'stun': 3503, 'lousi': 3504, 'somebodi': 3505, 'los': 3506, 'til': 3507, 'memor': 3508, 'newli': 3509, 'maximum': 3510, 'cigarett': 3511, 'pun': 3512, 'hotter': 3513, 'certif': 3514, 'clog': 3515, 'aloha': 3516, 'wisconsin': 3517, 'earn': 3518, 'safflow': 3519, 'brandi': 3520, 'status': 3521, 'deeper': 3522, 'advers': 3523, 'menu': 3524, 'career': 3525, 'woke': 3526, 'recov': 3527, 'par': 3528, 'restur': 3529, 'skill': 3530, 'jolt': 3531, 'river': 3532, 'patch': 3533, 'chewabl': 3534, 'possess': 3535, 'church': 3536, 'spell': 3537, 'enemi': 3538, 'proport': 3539, 'format': 3540, 'tingl': 3541, 'copper': 3542, 'yam': 3543, 'genius': 3544, 'ale': 3545, 'pate': 3546, 'transform': 3547, 'street': 3548, 'client': 3549, 'glen': 3550, 'random': 3551, 'bounti': 3552, 'justifi': 3553, 'tall': 3554, 'hardi': 3555, 'mistaken': 3556, 'flatbread': 3557, 'pooch': 3558, 'communic': 3559, 'solo': 3560, 'dreami': 3561, 'deepli': 3562, 'pipe': 3563, 'furnitur': 3564, 'session': 3565, 'pant': 3566, 'hangov': 3567, 'vermont': 3568, 'sucros': 3569, 'fulfil': 3570, 'prici': 3571, 'pest': 3572, 'enchilada': 3573, 'reflux': 3574, 'technic': 3575, 'achiev': 3576, 'flame': 3577, 'scientif': 3578, 'cash': 3579, 'wind': 3580, 'russian': 3581, 'rotat': 3582, 'contribut': 3583, 'acn': 3584, 'alfalfa': 3585, 'flexibl': 3586, 'foster': 3587, 'smear': 3588, 'ting': 3589, 'spark': 3590, 'condens': 3591, 'defect': 3592, 'pretend': 3593, 'goya': 3594, 'fuel': 3595, 'impact': 3596, 'dab': 3597, 'supper': 3598, 'fanat': 3599, 'shove': 3600, 'stix': 3601, 'depriv': 3602, 'holi': 3603, 'independ': 3604, 'quicker': 3605, 'distress': 3606, 'ib': 3607, 'boullion': 3608, 'immens': 3609, 'cannist': 3610, 'cultiv': 3611, 'sheet': 3612, 'autism': 3613, 'chuck': 3614, 'explod': 3615, 'alton': 3616, 'havent': 3617, 'fyi': 3618, 'poster': 3619, 'nougat': 3620, 'cluster': 3621, 'modern': 3622, 'meatbal': 3623, 'presum': 3624, 'colombian': 3625, 'illustr': 3626, 'polish': 3627, 'garnish': 3628, 'breakag': 3629, 'candybar': 3630, 'eco': 3631, 'switzerland': 3632, 'mama': 3633, 'crouton': 3634, 'overweight': 3635, 'bound': 3636, 'inconveni': 3637, 'shelter': 3638, 'sugarless': 3639, 'bundl': 3640, 'execut': 3641, 'carnat': 3642, 'unopen': 3643, 'veg': 3644, 'godsend': 3645, 'refri': 3646, 'glutam': 3647, 'cousin': 3648, 'lindt': 3649, 'spous': 3650, 'gnocchi': 3651, 'irrit': 3652, 'kola': 3653, 'blockag': 3654, 'bolder': 3655, 'crispbread': 3656, 'kasha': 3657, 'tastey': 3658, 'menadion': 3659, 'masala': 3660, 'counterpart': 3661, 'parisian': 3662, 'usda': 3663, 'niec': 3664, 'meatless': 3665, 'shorten': 3666, 'arm': 3667, 'tzu': 3668, 'staff': 3669, 'chronic': 3670, 'breez': 3671, 'opt': 3672, 'baja': 3673, 'albacor': 3674, 'paso': 3675, 'glow': 3676, 'panda': 3677, 'leather': 3678, 'snapea': 3679, 'bookbind': 3680, 'swim': 3681, 'bounc': 3682, 'bee': 3683, 'backcountri': 3684, 'tricki': 3685, 'martini': 3686, 'tellicherri': 3687, 'avocado': 3688, 'bpa': 3689, 'foodshouldtastegood': 3690, 'slide': 3691, 'sticker': 3692, 'screen': 3693, 'music': 3694, 'humor': 3695, 'highlight': 3696, 'lesser': 3697, 'embarrass': 3698, 'froze': 3699, 'ceremoni': 3700, 'pilaf': 3701, 'hottest': 3702, 'masterpiec': 3703, 'mae': 3704, 'holland': 3705, 'marri': 3706, 'brilliant': 3707, 'youth': 3708, 'hostess': 3709, 'explos': 3710, 'avenu': 3711, 'siberian': 3712, 'math': 3713, 'yoga': 3714, 'command': 3715, 'devil': 3716, 'graphic': 3717, 'genisoy': 3718, 'guar': 3719, 'disast': 3720, 'loav': 3721, 'rda': 3722, 'admir': 3723, 'kenya': 3724, 'employ': 3725, 'attitud': 3726, 'cart': 3727, 'lowfat': 3728, 'towel': 3729, 'modest': 3730, 'arizona': 3731, 'semolina': 3732, 'stovetop': 3733, 'imo': 3734, 'tunnel': 3735, 'rio': 3736, 'era': 3737, 'ganach': 3738, 'govern': 3739, 'cadburi': 3740, 'ant': 3741, 'bistro': 3742, 'nail': 3743, 'subsequ': 3744, 'climb': 3745, 'yrs': 3746, 'neutral': 3747, 'fascin': 3748, 'escap': 3749, 'meatloaf': 3750, 'predomin': 3751, 'wit': 3752, 'phosphat': 3753, 'nicer': 3754, 'brule': 3755, 'stare': 3756, 'mall': 3757, 'fever': 3758, 'choco': 3759, 'wasa': 3760, 'vigor': 3761, 'champagn': 3762, 'haul': 3763, 'huh': 3764, 'host': 3765, 'manganes': 3766, 'asthma': 3767, 'deceiv': 3768, 'rubberi': 3769, 'pamper': 3770, 'discuss': 3771, 'pepperoni': 3772, 'horrid': 3773, 'bulldog': 3774, 'hyper': 3775, 'lane': 3776, 'sacrific': 3777, 'offset': 3778, 'moroccan': 3779, 'branch': 3780, 'worthington': 3781, 'uplift': 3782, 'disk': 3783, 'underton': 3784, 'shi': 3785, 'kiss': 3786, 'prescrib': 3787, 'cleaner': 3788, 'xanthan': 3789, 'stood': 3790, 'sprayer': 3791, 'amish': 3792, 'london': 3793, 'connect': 3794, 'whichev': 3795, 'corgi': 3796, 'del': 3797, 'wherev': 3798, 'fifti': 3799, 'prioriti': 3800, 'halvah': 3801, 'pin': 3802, 'boxer': 3803, 'profit': 3804, 'radic': 3805, 'diego': 3806, 'pri': 3807, 'saccharin': 3808, 'tout': 3809, 'polici': 3810, 'octob': 3811, 'lawri': 3812, 'valdosta': 3813, 'ebay': 3814, 'eon': 3815, 'bing': 3816, 'weightless': 3817, 'wooden': 3818, 'economi': 3819, 'cottag': 3820, 'bleu': 3821, 'glossari': 3822, 'wean': 3823, 'hfcs': 3824, 'humid': 3825, 'smash': 3826, 'honor': 3827, 'evoo': 3828, 'shoe': 3829, 'sneez': 3830, 'absorpt': 3831, 'terra': 3832, 'simplic': 3833, 'tahini': 3834, 'brainer': 3835, 'crunchier': 3836, 'tupperwar': 3837, 'bowel': 3838, 'asleep': 3839, 'sugar-fre': 3840, 'dean': 3841, 'mesh': 3842, 'forth': 3843, 'mehmet': 3844, 'efendi': 3845, 'velvet': 3846, 'uniform': 3847, 'yuban': 3848, 'behold': 3849, 'frito': 3850, 'pinhead': 3851, 'lunchtim': 3852, 'accomplish': 3853, 'milki': 3854, 'gusto': 3855, 'pedigre': 3856, 'lou': 3857, 'palett': 3858, 'saturday': 3859, 'lion': 3860, 'guid': 3861, 'ezekiel': 3862, 'nando': 3863, 'dextros': 3864, 'blade': 3865, 'prick': 3866, 'stonewal': 3867, 'dogswel': 3868, 'valerian': 3869, 'leash': 3870, 'dreamfield': 3871, 'isnt': 3872, 'muir': 3873, 'sencha': 3874, 'contadina': 3875, 'cerelac': 3876, 'sulfat': 3877, 'thirti': 3878, 'wire': 3879, 'sylvia': 3880, 'nightmar': 3881, 'characterist': 3882, 'catherin': 3883, 'hara': 3884, 'torn': 3885, 'monkey': 3886, 'platinum': 3887, 'afficionado': 3888, 'chatchi': 3889, 'driver': 3890, 'worker': 3891, 'variabl': 3892, 'abandon': 3893, 'jame': 3894, 'chewier': 3895, 'verona': 3896, 'violent': 3897, 'illinoi': 3898, 'liber': 3899, 'argentina': 3900, 'prize': 3901, 'butterscotch': 3902, 'gnaw': 3903, 'huski': 3904, 'swell': 3905, 'akin': 3906, 'restor': 3907, 'riboflavin': 3908, 'sediment': 3909, 'pounc': 3910, 'meantim': 3911, 'britain': 3912, 'pluck': 3913, 'harri': 3914, 'model': 3915, 'delay': 3916, 'circl': 3917, 'stranger': 3918, 'notori': 3919, 'raini': 3920, 'horizon': 3921, 'constitut': 3922, 'tequila': 3923, 'cholula': 3924, 'buttermilk': 3925, 'visibl': 3926, 'chariti': 3927, 'pepperidg': 3928, 'imag': 3929, 'igourmet': 3930, 'maruchan': 3931, 'warmth': 3932, 'yummiest': 3933, 'chinotto': 3934, 'buster': 3935, 'theme': 3936, 'lil': 3937, 'recom': 3938, 'gorgonzola': 3939, 'sock': 3940, 'goulash': 3941, 'flood': 3942, 'bast': 3943, 'bout': 3944, 'dosag': 3945, 'horseradish': 3946, 'symbol': 3947, 'lame': 3948, 'trueli': 3949, 'mode': 3950, 'breastmilk': 3951, 'speci': 3952, 'slipperi': 3953, 'casual': 3954, 'arthur': 3955, 'tomorrow': 3956, 'tissu': 3957, 'camper': 3958, 'smith': 3959, 'pasti': 3960, 'wysong': 3961, 'dismay': 3962, 'supervis': 3963, 'tension': 3964, 'tannin': 3965, 'humbl': 3966, 'nutshel': 3967, 'mediterranean': 3968, 'tbs': 3969, 'uncov': 3970, 'chomp': 3971, 'upsid': 3972, 'ash': 3973, 'muddi': 3974, 'daddi': 3975, 'atom': 3976, 'satifi': 3977, 'tobasco': 3978, 'xmas': 3979, 'suppress': 3980, 'porch': 3981, 'syndrom': 3982, 'communiti': 3983, 'drift': 3984, 'shoot': 3985, 'plug': 3986, 'ruth': 3987, 'wagon': 3988, 'carr': 3989, 'enthusiasm': 3990, 'hazard': 3991, 'silent': 3992, 'athlet': 3993, 'falafel': 3994, 'puzzl': 3995, 'amongst': 3996, 'starkist': 3997, 'bin': 3998, 'promin': 3999, 'glove': 4000, 'compart': 4001, 'choo': 4002, 'optim': 4003, 'oversea': 4004, 'whiff': 4005, 'convien': 4006, 'refridger': 4007, 'clariti': 4008, 'bleach': 4009, 'peanutti': 4010, 'fatten': 4011, 'abund': 4012, 'veterinarian': 4013, 'vast': 4014, 'teen': 4015, 'autumn': 4016, 'simplifi': 4017, 'nausea': 4018, 'chest': 4019, 'leatheri': 4020, 'dimens': 4021, 'poptart': 4022, 'cheez': 4023, 'object': 4024, 'migrain': 4025, 'navita': 4026, 'overbrew': 4027, 'minestron': 4028, 'poland': 4029, 'bichon': 4030, 'stupid': 4031, 'unbroken': 4032, 'teff': 4033, 'greyhound': 4034, 'ventur': 4035, 'sloppi': 4036, 'shave': 4037, 'fave': 4038, 'renal': 4039, 'panel': 4040, 'monosodium': 4041, 'medley': 4042, 'festiv': 4043, 'sift': 4044, 'lawn': 4045, 'peet': 4046, 'clumpi': 4047, 'ohio': 4048, 'analysi': 4049, 'caesar': 4050, 'meiji': 4051, 'premier': 4052, 'be': 4053, 'hectic': 4054, 'unmatch': 4055, 'maid': 4056, 'zipper': 4057, 'germin': 4058, 'percol': 4059, 'processor': 4060, 'crinkl': 4061, 'variti': 4062, 'inventori': 4063, 'scotch': 4064, 'useless': 4065, 'accommod': 4066, 'bonito': 4067, 'purveyor': 4068, 'breastfe': 4069, 'remaind': 4070, 'breadcrumb': 4071, 'team': 4072, 'clearanc': 4073, 'reader': 4074, 'robert': 4075, 'rack': 4076, 'cobbler': 4077, 'toasti': 4078, 'trainer': 4079, 'casein': 4080, 'fettuccin': 4081, 'scrap': 4082, 'april': 4083, 'http': 4084, 'drastic': 4085, 'dijon': 4086, 'caviar': 4087, 'impli': 4088, 'kiwi': 4089, 'snickerdoodl': 4090, 'squirrel': 4091, 'kikkoman': 4092, 'glenni': 4093, 'vega': 4094, 'albeit': 4095, 'seltzer': 4096, 'xylichew': 4097, 'absenc': 4098, 'northwest': 4099, 'sorbitol': 4100, 'foreign': 4101, 'highway': 4102, 'altura': 4103, 'icki': 4104, 'jacob': 4105, 'harvey': 4106, 'dug': 4107, 'confess': 4108, 'quich': 4109, 'rat': 4110, 'taurin': 4111, 'frs': 4112, 'vindaloo': 4113, 'ryvita': 4114, 'purrfect': 4115, 'nescaf': 4116, 'scratcher': 4117, 'offens': 4118, 'swill': 4119, 'bizarr': 4120, 'commentari': 4121, 'princess': 4122, 'aesthet': 4123, 'batman': 4124, 'espression': 4125, 'necess': 4126, 'boast': 4127, 'brief': 4128, 'mechan': 4129, 'aficionado': 4130, 'ubiquit': 4131, 'dragon': 4132, 'stuffer': 4133, 'distant': 4134, 'sarsaparilla': 4135, 'evil': 4136, 'muscovado': 4137, 'runner': 4138, 'ben': 4139, 'lyle': 4140, 'millston': 4141, 'clover': 4142, 'preheat': 4143, 'artist': 4144, 'footbal': 4145, 'dulc': 4146, 'lech': 4147, 'washington': 4148, 'dive': 4149, 'slick': 4150, 'seizur': 4151, 'miser': 4152, 'airport': 4153, 'award': 4154, 'intox': 4155, 'headi': 4156, 'drysdal': 4157, 'wonka': 4158, 'frothi': 4159, 'advoc': 4160, 'launch': 4161, 'proclaim': 4162, 'overbear': 4163, 'purist': 4164, 'shallot': 4165, 'jersey': 4166, 'jade': 4167, 'enzym': 4168, 'cornstarch': 4169, 'pasteur': 4170, 'feb': 4171, 'februari': 4172, 'toronto': 4173, 'mingl': 4174, 'worldwid': 4175, 'slimi': 4176, 'overlook': 4177, 'baklava': 4178, 'nuanc': 4179, 'lotus': 4180, 'evok': 4181, 'lizano': 4182, 'william': 4183, 'pomeranian': 4184, 'dentist': 4185, 'therapi': 4186, 'plaqu': 4187, 'maui': 4188, 'rasberri': 4189, 'wrigley': 4190, 'dude': 4191, 'innov': 4192, 'fedex': 4193, 'explor': 4194, 'philadelphia': 4195, 'sack': 4196, 'hungarian': 4197, 'forgotten': 4198, 'nesco': 4199, 'unbleach': 4200, 'ibarra': 4201, 'glossi': 4202, 'dorm': 4203, 'lightweight': 4204, 'controversi': 4205, 'statement': 4206, 'regimen': 4207, 'ethnic': 4208, 'progress': 4209, 'cardiovascular': 4210, 'faith': 4211, 'chutney': 4212, 'porcini': 4213, 'worn': 4214, 'justic': 4215, 'advanc': 4216, 'mound': 4217, 'hay': 4218, 'indigest': 4219, 'gosh': 4220, 'particip': 4221, 'abroad': 4222, 'discomfort': 4223, 'resolv': 4224, 'pint': 4225, 'armour': 4226, 'seam': 4227, 'ray': 4228, 'pennsylvania': 4229, 'crisco': 4230, 'slap': 4231, 'fillet': 4232, 'phase': 4233, 'alarm': 4234, 'lord': 4235, 'thyroid': 4236, 'mud': 4237, 'laffi': 4238, 'cigar': 4239, 'dime': 4240, 'elbow': 4241, 'wimpi': 4242, 'spiral': 4243, 'dubbl': 4244, 'wikipedia': 4245, 'graci': 4246, 'yorkshir': 4247, 'pebbl': 4248, 'offici': 4249, 'western': 4250, 'wineri': 4251, 'bedroom': 4252, 'teeni': 4253, 'solubl': 4254, 'insolubl': 4255, 'orgran': 4256, 'pms': 4257, 'boat': 4258, 'interv': 4259, 'pricier': 4260, 'bias': 4261, 'condition': 4262, 'pike': 4263, 'marketspic': 4264, 'demonstr': 4265, 'lodg': 4266, 'eggplant': 4267, 'upgrad': 4268, 'redenbach': 4269, 'harden': 4270, 'dear': 4271, 'belief': 4272, 'domest': 4273, 'baci': 4274, 'parasit': 4275, 'discourag': 4276, 'rival': 4277, 'reincarn': 4278, 'combat': 4279, 'triglycerid': 4280, 'clinic': 4281, 'examin': 4282, 'cappucino': 4283, 'rehydr': 4284, 'spin': 4285, 'reconstitut': 4286, 'cave': 4287, 'bodum': 4288, 'unfamiliar': 4289, 'regist': 4290, 'chosen': 4291, 'unflavor': 4292, 'asparagus': 4293, 'background': 4294, 'bolivia': 4295, 'kasugai': 4296, 'recogniz': 4297, 'orchard': 4298, 'hound': 4299, 'ceas': 4300, 'colleagu': 4301, 'coincid': 4302, 'hoard': 4303, 'tug': 4304, 'upper': 4305, 'beefi': 4306, 'guiltless': 4307, 'kellog': 4308, 'dietet': 4309, 'height': 4310, 'tweak': 4311, 'inconsist': 4312, 'granddaught': 4313, 'diaper': 4314, 'sweat': 4315, 'reduct': 4316, 'bypass': 4317, 'diagnosi': 4318, 'meyenberg': 4319, 'painless': 4320, 'ulcer': 4321, 'anyhow': 4322, 'binder': 4323, 'tougher': 4324, 'jeremiah': 4325, 'labrador': 4326, 'newborn': 4327, 'slower': 4328, 'precis': 4329, 'diminish': 4330, 'caribbean': 4331, 'conduct': 4332, 'bulli': 4333, 'quest': 4334, 'grandpa': 4335, 'caraway': 4336, 'shampoo': 4337, 'induc': 4338, 'schnauzer': 4339, 'flaw': 4340, 'astring': 4341, 'yumm': 4342, 'currant': 4343, 'conclud': 4344, 'alongsid': 4345, 'gmo': 4346, 'labor': 4347, 'rican': 4348, 'scallop': 4349, 'rod': 4350, 'unsur': 4351, 'bailey': 4352, 'fuller': 4353, 'outlet': 4354, 'silicon': 4355, 'trend': 4356, 'mediocr': 4357, 'hmmm': 4358, 'massiv': 4359, 'ceram': 4360, 'hooray': 4361, 'southwest': 4362, 'fab': 4363, 'reimburs': 4364, 'spendi': 4365, 'fiesta': 4366, 'lasagna': 4367, 'wholeheart': 4368, 'milka': 4369, 'butcher': 4370, 'wander': 4371, 'mystic': 4372, 'announc': 4373, 'soapi': 4374, 'usp': 4375, 'resourc': 4376, 'sigh': 4377, 'diamet': 4378, 'moo': 4379, 'beaten': 4380, 'smoker': 4381, 'feta': 4382, 'cotton': 4383, 'await': 4384, 'poach': 4385, 'vinaigrett': 4386, 'truck': 4387, 'tendenc': 4388, 'abuelita': 4389, 'udon': 4390, 'clip': 4391, 'interfer': 4392, 'chakra': 4393, 'keeper': 4394, 'snackmast': 4395, 'oxal': 4396, 'holist': 4397, 'dew': 4398, 'hippo': 4399, 'sherri': 4400, 'leeper': 4401, 'pediatrician': 4402, 'jan': 4403, 'mastiff': 4404, 'reggi': 4405, 'teath': 4406, 'passov': 4407, 'bumbl': 4408, 'essn': 4409, 'gratitud': 4410, 'mirin': 4411, 'quebec': 4412, 'televis': 4413, 'song': 4414, 'bridg': 4415, 'bettlejuic': 4416, 'dealt': 4417, 'premis': 4418, 'micheal': 4419, 'delet': 4420, 'capabl': 4421, 'devic': 4422, 'catalog': 4423, 'enlighten': 4424, 'barista': 4425, 'kringl': 4426, 'danish': 4427, 'carolina': 4428, 'monday': 4429, 'snappi': 4430, 'astound': 4431, 'inquir': 4432, 'ferrero': 4433, 'civil': 4434, 'netherland': 4435, 'supernatur': 4436, 'nomin': 4437, 'charl': 4438, 'campaign': 4439, 'bye': 4440, 'discolor': 4441, 'gore': 4442, 'booklet': 4443, 'berger': 4444, 'unwrap': 4445, 'cram': 4446, 'eric': 4447, 'cadet': 4448, 'nerd': 4449, 'basement': 4450, 'punish': 4451, 'rear': 4452, 'rot': 4453, 'sublim': 4454, 'folic': 4455, 'stride': 4456, 'sunshin': 4457, 'est': 4458, 'philip': 4459, 'compact': 4460, 'blew': 4461, 'employe': 4462, 'founder': 4463, 'array': 4464, 'spontan': 4465, 'cuban': 4466, 'vernor': 4467, 'capuccino': 4468, 'episod': 4469, 'amor': 4470, 'tetley': 4471, 'dynasti': 4472, 'dryer': 4473, 'birch': 4474, 'tedious': 4475, 'dan': 4476, 'injuri': 4477, 'whirl': 4478, 'juan': 4479, 'durum': 4480, 'annatto': 4481, 'wholefood': 4482, 'smore': 4483, 'hazlenut': 4484, 'extent': 4485, 'russia': 4486, 'smack': 4487, 'fountain': 4488, 'variant': 4489, 'suger': 4490, 'stainless': 4491, 'startl': 4492, 'debbi': 4493, 'poetri': 4494, 'lecithin': 4495, 'violet': 4496, 'cellophan': 4497, 'exagger': 4498, 'bat': 4499, 'rout': 4500, 'neck': 4501, 'log': 4502, 'lactic': 4503, 'hrs': 4504, 'gumbal': 4505, 'crunci': 4506, 'killer': 4507, 'chedder': 4508, 'magnific': 4509, 'menthol': 4510, 'horrifi': 4511, 'triplet': 4512, 'kretschmer': 4513, 'chromium': 4514, 'chinatown': 4515, 'sammi': 4516, 'neo': 4517, 'outta': 4518, 'dawn': 4519, 'leaven': 4520, 'colour': 4521, 'disregard': 4522, 'glanc': 4523, 'belong': 4524, 'moral': 4525, 'rasin': 4526, 'drool': 4527, 'underneath': 4528, 'gastrointestin': 4529, 'inhibit': 4530, 'decay': 4531, 'eczema': 4532, 'swanson': 4533, 'alkaloid': 4534, 'legend': 4535, 'friendship': 4536, 'meanwhil': 4537, 'ese': 4538, 'stewart': 4539, 'matur': 4540, 'pellegrino': 4541, 'utah': 4542, 'dick': 4543, 'legal': 4544, 'bourbon': 4545, 'mortar': 4546, 'speck': 4547, 'out': 4548, 'devast': 4549, 'expiri': 4550, 'parboil': 4551, 'dial': 4552, 'overload': 4553, 'invit': 4554, 'fifth': 4555, 'differenti': 4556, 'applaud': 4557, 'marriag': 4558, 'lessen': 4559, 'yummm': 4560, 'slurp': 4561, 'nutrasweet': 4562, 'tore': 4563, 'nostalgia': 4564, 'timer': 4565, 'optimum': 4566, 'worcestershir': 4567, 'akita': 4568, 'pulver': 4569, 'kaviar': 4570, 'booster': 4571, 'plung': 4572, 'grandpar': 4573, 'pamphlet': 4574, 'riceselect': 4575, 'purifi': 4576, 'sorbat': 4577, 'unbear': 4578, 'roommat': 4579, 'scoobi': 4580, 'subt': 4581, 'gal': 4582, 'walkerswood': 4583, 'beginn': 4584, 'thirsti': 4585, 'smother': 4586, 'ghiradelli': 4587, 'export': 4588, 'bueno': 4589, 'sludg': 4590, 'hardest': 4591, 'fertil': 4592, 'destroop': 4593, 'disguis': 4594, 'tame': 4595, 'respiratori': 4596, 'potti': 4597, 'ponder': 4598, 'knee': 4599, 'dusti': 4600, 'offend': 4601, 'molli': 4602, 'daycar': 4603, 'twig': 4604, 'gumbo': 4605, 'zatarain': 4606, 'pliabl': 4607, 'incent': 4608, 'indomi': 4609, 'satay': 4610, 'chart': 4611, 'shall': 4612, 'pinto': 4613, 'sixth': 4614, 'network': 4615, 'heartier': 4616, 'toe': 4617, 'istanbul': 4618, 'mont': 4619, 'moldi': 4620, 'gut': 4621, 'frig': 4622, 'shovel': 4623, 'dublin': 4624, 'incid': 4625, 'definet': 4626, 'nutritionist': 4627, 'oral': 4628, 'harrog': 4629, 'chemo': 4630, 'homegrown': 4631, 'spri': 4632, 'harmoni': 4633, 'unwant': 4634, 'circular': 4635, 'aforement': 4636, 'mein': 4637, 'veterinari': 4638, 'vegecat': 4639, 'publish': 4640, 'annual': 4641, 'fabric': 4642, 'nip': 4643, 'insult': 4644, 'leader': 4645, 'oyster': 4646, 'waist': 4647, 'ldl': 4648, 'classi': 4649, 'mainstream': 4650, 'tantal': 4651, 'soledad': 4652, 'bait': 4653, 'pose': 4654, 'whiski': 4655, 'likewis': 4656, 'brie': 4657, 'noisi': 4658, 'influenc': 4659, 'overflow': 4660, 'kcup': 4661, 'amaretto': 4662, 'chickpea': 4663, 'rejuven': 4664, 'ineffect': 4665, 'overcom': 4666, 'taught': 4667, 'physician': 4668, 'candida': 4669, 'dissappoint': 4670, 'contrari': 4671, 'dang': 4672, 'translat': 4673, 'hmm': 4674, 'breastfeed': 4675, 'upscal': 4676, 'scout': 4677, 'envirokidz': 4678, 'usabl': 4679, 'visitor': 4680, 'sandi': 4681, 'societi': 4682, 'finland': 4683, 'unpop': 4684, 'hextra': 4685, 'polyphenol': 4686, 'daniel': 4687, 'sojo': 4688, 'navig': 4689, 'guidelin': 4690, 'exposur': 4691, 'evalu': 4692, 'growl': 4693, 'garlicki': 4694, 'reclos': 4695, 'cholin': 4696, 'campari': 4697, 'classifi': 4698, 'rural': 4699, 'tiptre': 4700, 'longev': 4701, 'deplet': 4702, 'unaccept': 4703, 'pam': 4704, 'granni': 4705, 'mommi': 4706, 'reformul': 4707, 'letharg': 4708, 'judi': 4709, 'toothpast': 4710, 'tenderloin': 4711, 'wolfgang': 4712, 'lumpi': 4713, 'mochi': 4714, 'pocketbook': 4715, 'alright': 4716, 'turmer': 4717, 'hydrochlorid': 4718, 'bisulfit': 4719, 'seep': 4720, 'rep': 4721, 'melti': 4722, 'toxin': 4723, 'purport': 4724, 'privileg': 4725, 'sourdough': 4726, 'yike': 4727, 'sesmark': 4728, 'boutiqu': 4729, 'flatul': 4730, 'uncomfort': 4731, 'pupperoni': 4732, 'investig': 4733, 'spout': 4734, 'virginia': 4735, 'fujian': 4736, 'ought': 4737, 'tamp': 4738, 'shopp': 4739, 'multitud': 4740, 'pomegranit': 4741, 'coffeem': 4742, 'bratwurst': 4743, 'plagu': 4744, 'omit': 4745, 'worthwhil': 4746, 'vegi': 4747, 'ara': 4748, 'moister': 4749, 'yolk': 4750, 'erewhon': 4751, 'tour': 4752, 'biodegrad': 4753, 'assembl': 4754, 'soba': 4755, 'indistinguish': 4756, 'vita': 4757, 'petguard': 4758, 'channel': 4759, 'intent': 4760, 'rotor': 4761, 'cha': 4762, 'nutrisystem': 4763, 'buffet': 4764, 'forti': 4765, 'hefti': 4766, 'dal': 4767, 'saffron': 4768, 'vitaspelt': 4769, 'pillow': 4770, 'shepard': 4771, 'rash': 4772, 'illeg': 4773, 'mudslid': 4774, 'mignon': 4775, 'tank': 4776, 'lorna': 4777, 'doon': 4778, 'flimsi': 4779, 'alo': 4780, 'stockpil': 4781, 'atlanta': 4782, 'plato': 4783, 'pattern': 4784, 'unnatur': 4785, 'hurrican': 4786, 'receip': 4787, 'orangina': 4788, 'cater': 4789, 'flesh': 4790, 'gristl': 4791, 'spaniel': 4792, 'kinnikinnick': 4793, 'montana': 4794, 'bent': 4795, 'variet': 4796, 'overindulg': 4797, 'ridg': 4798, 'keebler': 4799, 'youngster': 4800, 'gripe': 4801, 'stroke': 4802, 'barrel': 4803, 'recreat': 4804, 'incident': 4805, 'mesa': 4806, 'alittl': 4807, 'al': 4808, 'overdo': 4809, 'whiska': 4810, 'suitcas': 4811, 'ferrara': 4812, 'obes': 4813, 'suppliment': 4814, 'abc': 4815, 'mosquito': 4816, 'repel': 4817, 'wednesday': 4818, 'tic': 4819, 'tac': 4820, 'extern': 4821, 'pucker': 4822, 'larva': 4823, 'peta': 4824, 'goddess': 4825, 'crock': 4826, 'manuka': 4827, 'meringu': 4828, 'plocki': 4829, 'file': 4830, 'slushi': 4831, 'das': 4832, 'lug': 4833, 'fresca': 4834, 'davidson': 4835, 'nilla': 4836, 'wheatena': 4837, 'hanov': 4838, 'angelina': 4839, 'wisdom': 4840, 'lighten': 4841, 'lowrey': 4842, 'melamin': 4843, 'franci': 4844, 'cee': 4845, 'mcmate': 4846, 'stellar': 4847, 'afterlif': 4848, 'theatric': 4849, 'gothic': 4850, 'danni': 4851, 'elfman': 4852, 'deceas': 4853, 'haunt': 4854, 'rosi': 4855, 'depress': 4856, 'jeffrey': 4857, 'colder': 4858, 'plot': 4859, 'unus': 4860, 'sept': 4861, 'vehicl': 4862, 'district': 4863, 'gentler': 4864, 'leeri': 4865, 'raclett': 4866, 'denver': 4867, 'unfurl': 4868, 'alphabet': 4869, 'jumbo': 4870, 'sensual': 4871, 'melissa': 4872, 'irregular': 4873, 'pittsburgh': 4874, 'spreadabl': 4875, 'liven': 4876, 'creepi': 4877, 'clerk': 4878, 'otho': 4879, 'leisur': 4880, 'improvis': 4881, 'sportea': 4882, 'ect': 4883, 'damp': 4884, 'coloni': 4885, 'infam': 4886, 'shift': 4887, 'stole': 4888, 'asham': 4889, 'foami': 4890, 'roca': 4891, 'whisker': 4892, 'murder': 4893, 'chore': 4894, 'scharffen': 4895, 'wad': 4896, 'leagu': 4897, 'sorta': 4898, 'evilspeak': 4899, 'ritual': 4900, 'motion': 4901, 'trailer': 4902, 'victim': 4903, 'thiamin': 4904, 'phosphorus': 4905, 'potluck': 4906, 'lee': 4907, 'reloc': 4908, 'orgin': 4909, 'scotsman': 4910, 'quintessenti': 4911, 'willi': 4912, 'tamper': 4913, 'compos': 4914, 'unquestion': 4915, 'unmistak': 4916, 'pal': 4917, 'definat': 4918, 'yamamotoyama': 4919, 'ambrosia': 4920, 'quencher': 4921, 'southwestern': 4922, 'bleed': 4923, 'cactus': 4924, 'tapatio': 4925, 'beta': 4926, 'spectrum': 4927, 'creol': 4928, 'ballotin': 4929, 'freight': 4930, 'baron': 4931, 'isl': 4932, 'agenda': 4933, 'mercuri': 4934, 'mon': 4935, 'blair': 4936, 'alkalin': 4937, 'vintag': 4938, 'mmmmmmm': 4939, 'thigh': 4940, 'nostalg': 4941, 'salchichon': 4942, 'chorizo': 4943, 'yell': 4944, 'radiat': 4945, 'biscoff': 4946, 'dynamit': 4947, 'crucial': 4948, 'logo': 4949, 'flick': 4950, 'sheep': 4951, 'delicaci': 4952, 'unreason': 4953, 'merguez': 4954, 'vietnames': 4955, 'inflat': 4956, 'storm': 4957, 'tlc': 4958, 'bicarbon': 4959, 'down': 4960, 'cliff': 4961, 'mega': 4962, 'bragg': 4963, 'destruct': 4964, 'shaken': 4965, 'pharmaci': 4966, 'inter': 4967, 'mitig': 4968, 'diuret': 4969, 'phenomenon': 4970, 'duti': 4971, 'fruitcak': 4972, 'mincemeat': 4973, 'squid': 4974, 'fettuccini': 4975, 'bunn': 4976, 'creator': 4977, 'multi': 4978, 'renew': 4979, 'sheer': 4980, 'northeast': 4981, 'notif': 4982, 'infinit': 4983, 'hen': 4984, 'skittl': 4985, 'cape': 4986, 'pestl': 4987, 'insomnia': 4988, 'scientist': 4989, 'idiot': 4990, 'cleanser': 4991, 'massag': 4992, 'zig': 4993, 'zag': 4994, 'interact': 4995, 'impuls': 4996, 'kirsch': 4997, 'apolog': 4998, 'peter': 4999, 'agricultur': 5000}\n",
      "Max Review Length - 824\n",
      "CPU times: user 758 ms, sys: 17.2 ms, total: 776 ms\n",
      "Wall time: 776 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "num_words = 5000\n",
    "(X_train, y_train), (X_test, y_test) = load_data(num_words=num_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 70
    },
    "colab_type": "code",
    "id": "AErziocZOi00",
    "outputId": "7c94c414-83a1-4b91-ac78-e6ab734d854c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[478, 158, 692, 1097, 4413, 47, 326, 813, 1184, 547, 87, 43, 3878, 126, 11, 2524, 853, 4414, 1827, 3116, 375, 114, 839, 93, 531, 853, 649, 532, 246, 114, 2, 826]\n",
      "rememb see show air televis year ago child sister later bought day thirti someth use seri book song student teach preschool turn whole school purchas along book children tradit live whole  great spend\n"
     ]
    }
   ],
   "source": [
    "print(X_train[0])\n",
    "print(data_train.iloc[0]['CleanedText'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "IRZCaxZrOi4K",
    "outputId": "7dd7f340-7cc4-4efd-dac1-902c28a1ceee"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(14000, 824) (6000, 824)\n"
     ]
    }
   ],
   "source": [
    "# truncate and/or pad input sequences\n",
    "max_review_length = 824\n",
    "X_train = sequence.pad_sequences(X_train, maxlen=max_review_length)\n",
    "X_test = sequence.pad_sequences(X_test, maxlen=max_review_length)\n",
    "\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 848
    },
    "colab_type": "code",
    "id": "BHFlRMhyqDl2",
    "outputId": "9c495654-399d-4b3a-91c9-8b0cad4fa500"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_3 (Embedding)      (None, 824, 32)           160000    \n",
      "_________________________________________________________________\n",
      "lstm_5 (LSTM)                (None, 2)                 280       \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 1)                 3         \n",
      "=================================================================\n",
      "Total params: 160,283\n",
      "Trainable params: 160,283\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Train on 9800 samples, validate on 4200 samples\n",
      "Epoch 1/5\n",
      "9800/9800 [==============================] - 367s 37ms/step - loss: 1.9517 - acc: 0.1169 - val_loss: 0.8004 - val_acc: 0.3095\n",
      "Epoch 2/5\n",
      "9800/9800 [==============================] - 366s 37ms/step - loss: 0.4209 - acc: 0.8362 - val_loss: 0.3753 - val_acc: 0.9007\n",
      "Epoch 3/5\n",
      "9800/9800 [==============================] - 367s 37ms/step - loss: 0.2563 - acc: 0.9137 - val_loss: 0.3549 - val_acc: 0.9081\n",
      "Epoch 4/5\n",
      "9800/9800 [==============================] - 368s 38ms/step - loss: 0.2037 - acc: 0.9308 - val_loss: 0.3996 - val_acc: 0.9102\n",
      "Epoch 5/5\n",
      "9800/9800 [==============================] - 366s 37ms/step - loss: 0.1761 - acc: 0.9439 - val_loss: 0.4149 - val_acc: 0.9143\n",
      "Test loss: 0.4591158937215805\n",
      "Test accuracy: 0.9046666666666666\n"
     ]
    },
    {
     "data": {
      "image/png": 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jx1O/fn1mzJjB66+/zu23386YMWN8EZu4UUFBmAcMRrFYMC69+ZsZhRBClCxu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\nEyrqIiIiNqGiLiIiYhP/B9YUa1ot4NsYAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff7e032ae10>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 42min 18s, sys: 5min 55s, total: 48min 14s\n",
      "Wall time: 32min 58s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# create the model\n",
    "def get_LSTM(embedding_vector_length = 32):\n",
    "    model = Sequential()\n",
    "    model.add(Embedding(num_words, embedding_vector_length, input_length=max_review_length))\n",
    "\n",
    "    model.add(LSTM(2))\n",
    "\n",
    "    model.add(Dense(1, activation='relu', kernel_initializer='he_normal'))\n",
    "    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "    print(model.summary())\n",
    "    \n",
    "    return model\n",
    "\n",
    "\n",
    "model = get_LSTM()\n",
    "epochs = 5\n",
    "history = model.fit(X_train, y_train, epochs=epochs, batch_size=64, validation_split=0.3)\n",
    "\n",
    "# Final evaluation of the model\n",
    "score = model.evaluate(X_test, y_test, verbose=0)\n",
    "print('Test loss:', score[0])\n",
    "print('Test accuracy:', score[1])\n",
    "\n",
    "x = list(range(1, epochs+1))\n",
    "vy = history.history['val_loss']\n",
    "ty = history.history['loss']\n",
    "plot_loss(x, vy, ty)\n",
    "\n",
    "pt.add_row(['1-layered LSTM', sum(history.history['acc'])/len(history.history['acc']), \\\n",
    "            sum(history.history['val_acc'])/len(history.history['val_acc']), score[1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1016
    },
    "colab_type": "code",
    "id": "DgjfVg8W2zVP",
    "outputId": "22c9f7f7-1573-4580-cd34-0ef3b01143da"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_1 (Embedding)      (None, 824, 32)           160000    \n",
      "_________________________________________________________________\n",
      "lstm_1 (LSTM)                (None, 2)                 280       \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 1)                 3         \n",
      "=================================================================\n",
      "Total params: 160,283\n",
      "Trainable params: 160,283\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Train on 9800 samples, validate on 4200 samples\n",
      "Epoch 1/10\n",
      "9800/9800 [==============================] - 478s 49ms/step - loss: 2.0914 - acc: 0.1095 - val_loss: 0.9852 - val_acc: 0.1086\n",
      "Epoch 2/10\n",
      "9800/9800 [==============================] - 470s 48ms/step - loss: 0.6777 - acc: 0.5869 - val_loss: 0.4391 - val_acc: 0.8950\n",
      "Epoch 3/10\n",
      "9800/9800 [==============================] - 472s 48ms/step - loss: 0.3723 - acc: 0.8886 - val_loss: 0.3120 - val_acc: 0.8969\n",
      "Epoch 4/10\n",
      "9800/9800 [==============================] - 488s 50ms/step - loss: 0.3011 - acc: 0.9047 - val_loss: 0.2686 - val_acc: 0.9045\n",
      "Epoch 5/10\n",
      "9800/9800 [==============================] - 473s 48ms/step - loss: 0.2653 - acc: 0.9160 - val_loss: 0.2581 - val_acc: 0.9112\n",
      "Epoch 6/10\n",
      "9800/9800 [==============================] - 451s 46ms/step - loss: 0.2245 - acc: 0.9268 - val_loss: 0.2425 - val_acc: 0.9152\n",
      "Epoch 7/10\n",
      "9800/9800 [==============================] - 438s 45ms/step - loss: 0.2020 - acc: 0.9364 - val_loss: 0.2352 - val_acc: 0.9150\n",
      "Epoch 8/10\n",
      "9800/9800 [==============================] - 465s 47ms/step - loss: 0.1944 - acc: 0.9441 - val_loss: 0.2609 - val_acc: 0.9114\n",
      "Epoch 9/10\n",
      "9800/9800 [==============================] - 469s 48ms/step - loss: 0.1947 - acc: 0.9476 - val_loss: 0.2491 - val_acc: 0.9119\n",
      "Epoch 10/10\n",
      "9800/9800 [==============================] - 470s 48ms/step - loss: 0.1794 - acc: 0.9494 - val_loss: 0.2458 - val_acc: 0.9112\n",
      "Test loss: 0.2708439229329427\n",
      "Test accuracy: 0.9023333333333333\n"
     ]
    },
    {
     "data": {
      "image/png": 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3x8aNGwEAOp0OsbGxGDJkCLZv346RI0di3rx51grLIrThxqSuSk5CCZM6ERHZCas1v6vV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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1c252fa748>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1h 43min 58s, sys: 13min 29s, total: 1h 57min 27s\n",
      "Wall time: 1h 20min 47s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# create the model\n",
    "def get_LSTM(embedding_vector_length = 32):\n",
    "    model = Sequential()\n",
    "    model.add(Embedding(num_words, embedding_vector_length, input_length=max_review_length))\n",
    "\n",
    "    model.add(LSTM(2, dropout=0.25, recurrent_dropout=0.25))\n",
    "\n",
    "    model.add(Dense(1, activation='relu', kernel_initializer='he_normal'))\n",
    "    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "    print(model.summary())\n",
    "    \n",
    "    return model\n",
    "\n",
    "\n",
    "model = get_LSTM()\n",
    "epochs = 10\n",
    "history = model.fit(X_train, y_train, epochs=epochs, batch_size=64, validation_split=0.3)\n",
    "\n",
    "# Final evaluation of the model\n",
    "score = model.evaluate(X_test, y_test, verbose=0)\n",
    "print('Test loss:', score[0])\n",
    "print('Test accuracy:', score[1])\n",
    "\n",
    "x = list(range(1, epochs+1))\n",
    "vy = history.history['val_loss']\n",
    "ty = history.history['loss']\n",
    "plot_loss(x, vy, ty)\n",
    "\n",
    "pt.add_row(['1-layered LSTM+Dropouts', sum(history.history['acc'])/len(history.history['acc']), \\\n",
    "            sum(history.history['val_acc'])/len(history.history['val_acc']), score[1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 101
    },
    "colab_type": "code",
    "id": "VT7qeqMJbmVz",
    "outputId": "634805c0-18d6-490e-e645-237a113b2369"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------------+---------------------+--------------------------+--------------------+\n",
      "|     RNN Architecture    | Mean Train Accuracy | Mean Validation Accuracy |   Test Accuracy    |\n",
      "+-------------------------+---------------------+--------------------------+--------------------+\n",
      "| 1-layered LSTM+Dropouts |  0.8109999999999999 |    0.8280952381534237    | 0.9023333333333333 |\n",
      "+-------------------------+---------------------+--------------------------+--------------------+\n"
     ]
    }
   ],
   "source": [
    "print(pt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 966
    },
    "colab_type": "code",
    "id": "kVln65M9JkD5",
    "outputId": "aab8a316-382f-465d-e286-68cdc8f74b61"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_1 (Embedding)      (None, 824, 32)           160000    \n",
      "_________________________________________________________________\n",
      "lstm_1 (LSTM)                (None, 824, 10)           1720      \n",
      "_________________________________________________________________\n",
      "lstm_2 (LSTM)                (None, 2)                 104       \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 1)                 3         \n",
      "=================================================================\n",
      "Total params: 161,827\n",
      "Trainable params: 161,827\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Train on 9800 samples, validate on 4200 samples\n",
      "Epoch 1/5\n",
      "9800/9800 [==============================] - 949s 97ms/step - loss: 1.7820 - acc: 0.1463 - val_loss: 0.6789 - val_acc: 0.8914\n",
      "Epoch 2/5\n",
      "9800/9800 [==============================] - 956s 98ms/step - loss: 0.4933 - acc: 0.8337 - val_loss: 0.3507 - val_acc: 0.8914\n",
      "Epoch 3/5\n",
      "9800/9800 [==============================] - 950s 97ms/step - loss: 0.3575 - acc: 0.8887 - val_loss: 0.3449 - val_acc: 0.8914\n",
      "Epoch 4/5\n",
      "9800/9800 [==============================] - 950s 97ms/step - loss: 0.3525 - acc: 0.8891 - val_loss: 0.3450 - val_acc: 0.8914\n",
      "Epoch 5/5\n",
      "9800/9800 [==============================] - 950s 97ms/step - loss: 0.3506 - acc: 0.8898 - val_loss: 0.3447 - val_acc: 0.8914\n",
      "Test loss: 0.3818874277273814\n",
      "Test accuracy: 0.875\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZAcaq1aBZtxrpn06EWLac1CEREZED2Dxt/vDhQyQkJOCjjz4CAOzatQupqakO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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3737cd4a58>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------------+---------------------+--------------------------+---------------+\n",
      "|     RNN Architecture    | Mean Train Accuracy | Mean Validation Accuracy | Test Accuracy |\n",
      "+-------------------------+---------------------+--------------------------+---------------+\n",
      "| 2-layered LSTM+Dropouts |  0.7295102040816326 |    0.8914285712015062    |     0.875     |\n",
      "+-------------------------+---------------------+--------------------------+---------------+\n",
      "CPU times: user 1h 51min 12s, sys: 13min 17s, total: 2h 4min 29s\n",
      "Wall time: 1h 24min 56s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# create the model\n",
    "def get_LSTM(embedding_vector_length = 32):\n",
    "    model = Sequential()\n",
    "    model.add(Embedding(num_words, embedding_vector_length, input_length=max_review_length))\n",
    "\n",
    "    model.add(LSTM(10, return_sequences=True, dropout=0.3, recurrent_dropout=0.3))\n",
    "    model.add(LSTM(2, dropout=0.25, recurrent_dropout=0.25))\n",
    "\n",
    "    model.add(Dense(1, activation='relu', kernel_initializer='he_normal'))\n",
    "    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "    print(model.summary())\n",
    "    \n",
    "    return model\n",
    "\n",
    "\n",
    "model = get_LSTM()\n",
    "epochs = 5\n",
    "history = model.fit(X_train, y_train, epochs=epochs, batch_size=64, validation_split=0.3)\n",
    "\n",
    "# Final evaluation of the model\n",
    "score = model.evaluate(X_test, y_test, verbose=0)\n",
    "print('Test loss:', score[0])\n",
    "print('Test accuracy:', score[1])\n",
    "\n",
    "x = list(range(1, epochs+1))\n",
    "vy = history.history['val_loss']\n",
    "ty = history.history['loss']\n",
    "plot_loss(x, vy, ty)\n",
    "\n",
    "pt.add_row(['2-layered LSTM+Dropouts', sum(history.history['acc'])/len(history.history['acc']), \\\n",
    "            sum(history.history['val_acc'])/len(history.history['val_acc']), score[1]])\n",
    "\n",
    "print(pt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "J-b-9gC_y9hX"
   },
   "source": [
    "# Conclusion :\n",
    "- A simple Input with Frequency of words is providing good Accuracy on Results.\n",
    "- 1-layered 2-LSTM cell RNN Architecture is performing much better than it's 2-layered counterpart.\n",
    "- Dropouts are helping in decreasing the Overfitting problem in the NN."
   ]
  }
 ],
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