l09c03_nlp_prepare_larger_text_corpus.ipynb

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    "colab": {
      "name": "l09c03_nlp_prepare_larger_text_corpus.ipynb",
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    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
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    "accelerator": "GPU"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "punL79CN7Ox6"
      },
      "source": [
        "##### Copyright 2020 The TensorFlow Authors."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "cellView": "form",
        "id": "_ckMIh7O7s6D"
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      "source": [
        "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
        "# you may not use this file except in compliance with the License.\n",
        "# You may obtain a copy of the License at\n",
        "#\n",
        "# https://www.apache.org/licenses/LICENSE-2.0\n",
        "#\n",
        "# Unless required by applicable law or agreed to in writing, software\n",
        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
        "# See the License for the specific language governing permissions and\n",
        "# limitations under the License."
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qzwilbae73N4"
      },
      "source": [
        "# Tokenize and sequence a bigger corpus of text\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S5Uhzt6vVIB2"
      },
      "source": [
        "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/examples/blob/master/courses/udacity_intro_to_tensorflow_for_deep_learning/l09c03_nlp_prepare_larger_text_corpus.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
        "  </td>\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://github.com/tensorflow/examples/blob/master/courses/udacity_intro_to_tensorflow_for_deep_learning/l09c03_nlp_prepare_larger_text_corpus.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on GitHub</a>\n",
        "  </td>\n",
        "</table>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VcB-N6WrAT9q"
      },
      "source": [
        "So far, you have written some test sentences and generated a word index and then created sequences for the sentences. \n",
        "\n",
        "Now you will tokenize and sequence a larger body of text, specifically reviews from Amazon and Yelp. \n",
        "\n",
        "## About the dataset\n",
        "\n",
        "You will use a dataset containing Amazon and Yelp reviews of products and restaurants. This dataset was originally extracted from [Kaggle](https://www.kaggle.com/marklvl/sentiment-labelled-sentences-data-set).\n",
        "\n",
        "The dataset includes reviews, and each review is labelled as 0 (bad) or 1 (good). However, in this exercise, you will only work with the reviews, not the labels, to practice tokenizing and sequencing the text. \n",
        "\n",
        "### Example good reviews:\n",
        "\n",
        "*   This is hands down the best phone I've ever had.\n",
        "*   Four stars for the food & the guy in the blue shirt for his great vibe & still letting us in to eat !\n",
        "\n",
        "### Example bad reviews:  \n",
        "\n",
        "*   A lady at the table next to us found a live green caterpillar In her salad\n",
        "*   If you plan to use this in a car forget about it.\n",
        "\n",
        "### See more reviews\n",
        "Feel free to [download the dataset](https://drive.google.com/uc?id=13ySLC_ue6Umt9RJYSeM2t-V0kCv-4C-P) from a drive folder belonging to Udacity and open it on your local machine to see more reviews."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wr21SvWhQhvN"
      },
      "source": [
        "# Import Tokenizer and pad_sequences\n",
        "import tensorflow as tf\n",
        "from tensorflow.keras.preprocessing.text import Tokenizer\n",
        "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
        "\n",
        "# Import numpy and pandas\n",
        "import numpy as np\n",
        "import pandas as pd\n"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cJOCSbdERsdc"
      },
      "source": [
        "# Get the corpus of text\n",
        "\n",
        "The combined dataset of reviews has been saved in a Google drive belonging to Udacity. You can download it from there."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kBpFip-X69Hf",
        "outputId": "405635fa-7dfc-4bad-8e2d-1d86633f1427",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "path = tf.keras.utils.get_file('reviews.csv', \n",
        "                               'https://drive.google.com/uc?id=13ySLC_ue6Umt9RJYSeM2t-V0kCv-4C-P')\n",
        "print (path)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading data from https://drive.google.com/uc?id=13ySLC_ue6Umt9RJYSeM2t-V0kCv-4C-P\n",
            "131072/127831 [==============================] - 0s 0us/step\n",
            "139264/127831 [================================] - 0s 0us/step\n",
            "/root/.keras/datasets/reviews.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZCT57MVGTENX"
      },
      "source": [
        "# Get the dataset\n",
        "\n",
        "Each row in the csv file is a separate review.\n",
        "\n",
        "The csv file has 2 columns:\n",
        "\n",
        "*   **text** (the review)\n",
        "*   **sentiment** (0 or 1 indicating a bad or good review)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TlyreClyS7H3",
        "outputId": "1ce99d1e-219b-4f2a-a89c-08d54650e380",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "# Read the csv file\n",
        "dataset = pd.read_csv(path)\n",
        "\n",
        "# Review the first few entries in the dataset\n",
        "dataset.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>text</th>\n",
              "      <th>sentiment</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>So there is no way for me to plug it in here i...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>Good case Excellent value.</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>Great for the jawbone.</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>Tied to charger for conversations lasting more...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
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              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>The mic is great.</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Unnamed: 0                                               text  sentiment\n",
              "0           0  So there is no way for me to plug it in here i...          0\n",
              "1           1                         Good case Excellent value.          1\n",
              "2           2                             Great for the jawbone.          1\n",
              "3           3  Tied to charger for conversations lasting more...          0\n",
              "4           4                                  The mic is great.          1"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Fk5uzq4Oco7h"
      },
      "source": [
        "# Get the reviews from the csv file"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u7uCBlAqdEzK"
      },
      "source": [
        "# Get the reviews from the text column\n",
        "reviews = dataset['text'].tolist()"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OS0mg5yoVzQL"
      },
      "source": [
        "# Tokenize the text\n",
        "Create the tokenizer, specify the OOV token, tokenize the text, then inspect the word index."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "atgLJzAiVwqB",
        "outputId": "111abca1-c9a9-4741-91a2-adf500e9e7a1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "tokenizer = Tokenizer(oov_token=\"<OOV>\")\n",
        "tokenizer.fit_on_texts(reviews)\n",
        "\n",
        "word_index = tokenizer.word_index\n",
        "print(len(word_index))\n",
        "print(word_index)\n"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3261\n",
            "{'<OOV>': 1, 'the': 2, 'and': 3, 'i': 4, 'a': 5, 'it': 6, 'to': 7, 'is': 8, 'was': 9, 'this': 10, 'of': 11, 'not': 12, 'for': 13, 'my': 14, 'in': 15, 'with': 16, 'very': 17, 'good': 18, 'great': 19, 'phone': 20, 'that': 21, 'on': 22, 'have': 23, 'you': 24, 'food': 25, 'had': 26, 'place': 27, 'so': 28, 'but': 29, 'service': 30, 'are': 31, 'be': 32, 'we': 33, 'all': 34, 'as': 35, 'at': 36, 'like': 37, 'they': 38, 'time': 39, 'back': 40, 'one': 41, 'were': 42, 'quality': 43, 'would': 44, 'really': 45, 'here': 46, 'if': 47, 'from': 48, 'well': 49, 'your': 50, 'just': 51, 'product': 52, 'up': 53, 'best': 54, \"don't\": 55, 'no': 56, 'will': 57, 'an': 58, 'there': 59, 'go': 60, 'me': 61, 'has': 62, 'only': 63, 'also': 64, 'works': 65, \"i've\": 66, 'out': 67, 'headset': 68, 'nice': 69, 'ever': 70, 'battery': 71, \"it's\": 72, 'sound': 73, 'than': 74, 'use': 75, 'or': 76, 'when': 77, \"i'm\": 78, 'our': 79, 'get': 80, 'what': 81, 'their': 82, 'after': 83, 'love': 84, 'been': 85, 'did': 86, 'excellent': 87, 'recommend': 88, 'even': 89, 'more': 90, 'again': 91, 'first': 92, 'too': 93, 'work': 94, 'which': 95, 'ear': 96, 'about': 97, '2': 98, 'better': 99, 'can': 100, 'never': 101, 'price': 102, 'any': 103, 'could': 104, 'bad': 105, 'because': 106, 'do': 107, 'made': 108, 'got': 109, 'case': 110, 'pretty': 111, 'much': 112, 'by': 113, 'now': 114, 'disappointed': 115, 'worst': 116, 'friendly': 117, 'does': 118, 'them': 119, 'some': 120, 'then': 121, 'think': 122, 'am': 123, 'came': 124, 'minutes': 125, 'money': 126, 'new': 127, 'enough': 128, 'still': 129, 'these': 130, 'other': 131, 'amazing': 132, 'restaurant': 133, 'going': 134, 'how': 135, 'definitely': 136, 'say': 137, 'happy': 138, 'off': 139, 'experience': 140, 'delicious': 141, 'way': 142, 'two': 143, 'few': 144, 'while': 145, 'over': 146, 'being': 147, 'vegas': 148, 'us': 149, 'right': 150, 'poor': 151, 'thing': 152, 'everything': 153, \"won't\": 154, 'he': 155, 'far': 156, 'went': 157, \"didn't\": 158, 'car': 159, 'make': 160, '1': 161, 'item': 162, 'worked': 163, 'terrible': 164, 'always': 165, 'charger': 166, 'waste': 167, 'comfortable': 168, 'people': 169, 'want': 170, 'buy': 171, 'used': 172, 'staff': 173, 'eat': 174, 'long': 175, 'bought': 176, 'little': 177, 'bluetooth': 178, 'down': 179, 'easy': 180, 'its': 181, 'impressed': 182, '5': 183, 'reception': 184, 'piece': 185, 'awesome': 186, 'ordered': 187, 'stars': 188, 'times': 189, \"doesn't\": 190, 'fine': 191, 'lot': 192, 'know': 193, \"wasn't\": 194, 'chicken': 195, 'charge': 196, 'life': 197, 'since': 198, 'order': 199, 'found': 200, 'tried': 201, 'both': 202, 'fantastic': 203, 'same': 204, 'every': 205, 'before': 206, 'customer': 207, 'quite': 208, 'take': 209, 'another': 210, 'menu': 211, 'salad': 212, 'pizza': 213, 'last': 214, 'problem': 215, 'purchase': 216, 'cell': 217, 'around': 218, 'small': 219, 'slow': 220, 'horrible': 221, 'worth': 222, 'many': 223, 'feel': 224, \"can't\": 225, 'fresh': 226, 'wait': 227, 'steak': 228, 'highly': 229, 'she': 230, 'talk': 231, 'sure': 232, '3': 233, 'camera': 234, 'calls': 235, 'device': 236, \"couldn't\": 237, 'night': 238, 'overall': 239, 'probably': 240, 'day': 241, 'come': 242, 'next': 243, 'taste': 244, 'server': 245, 'sushi': 246, 'flavor': 247, 'problems': 248, 'volume': 249, 'into': 250, 'absolutely': 251, 'hear': 252, 'years': 253, 'clear': 254, 'real': 255, 'cool': 256, 'working': 257, 'using': 258, 'motorola': 259, 'fit': 260, 'look': 261, 'try': 262, 'give': 263, 'bland': 264, 'nothing': 265, 'said': 266, 'coming': 267, 'burger': 268, 'plug': 269, 'must': 270, 'design': 271, 'who': 272, 'makes': 273, 'loved': 274, 'looks': 275, 'call': 276, 'fits': 277, 'getting': 278, 'cheap': 279, 'side': 280, 'where': 281, 'family': 282, 'low': 283, 'however': 284, 'deal': 285, 'hard': 286, 'perfect': 287, 'tasty': 288, 'buffet': 289, 'meal': 290, 'atmosphere': 291, 'several': 292, 'without': 293, 'months': 294, 'left': 295, 'phones': 296, 'should': 297, 'seriously': 298, 'big': 299, 'super': 300, 'expect': 301, 'area': 302, 'screen': 303, 'once': 304, 'felt': 305, \"i'd\": 306, 'bit': 307, 'year': 308, 'return': 309, 'either': 310, 'old': 311, 'disappointing': 312, 'hot': 313, 'took': 314, 'soon': 315, 'selection': 316, 'prices': 317, 'sauce': 318, 'lunch': 319, 'breakfast': 320, 'waited': 321, 'days': 322, 'helpful': 323, 'need': 324, 'kept': 325, 'priced': 326, 'find': 327, 'wear': 328, 'received': 329, 'high': 330, 'light': 331, 'fast': 332, 'completely': 333, 'job': 334, 'kind': 335, 'perfectly': 336, 'stay': 337, '10': 338, 'company': 339, 'disappointment': 340, 'hands': 341, 'amazon': 342, 'looking': 343, \"i'll\": 344, 'away': 345, 'bar': 346, 'inside': 347, 'fries': 348, 'table': 349, 'sandwich': 350, 'meat': 351, 'dishes': 352, 'clean': 353, 'cold': 354, 'most': 355, 'three': 356, 'simple': 357, 'verizon': 358, 'dropped': 359, 'end': 360, 'buttons': 361, 'different': 362, 'gets': 363, 'home': 364, 'arrived': 365, 'quickly': 366, 'broke': 367, 'black': 368, 'may': 369, 'jabra': 370, 'pleased': 371, 'done': 372, 'avoid': 373, 'voice': 374, 'check': 375, 'extremely': 376, 'thought': 377, 'tell': 378, 'junk': 379, 'couple': 380, 'especially': 381, 'unit': 382, 'anyone': 383, 'unfortunately': 384, 'wrong': 385, 'none': 386, 'hour': 387, 'waitress': 388, 'beer': 389, 'dish': 390, 'eating': 391, 'dining': 392, 'spicy': 393, 'spot': 394, 'rude': 395, 'tasted': 396, 'value': 397, 'each': 398, 'started': 399, 'though': 400, 'everyone': 401, 'picture': 402, 'audio': 403, 'loud': 404, 'week': 405, 'feels': 406, 'headsets': 407, 'huge': 408, 'full': 409, 'software': 410, 'during': 411, 'hours': 412, 'internet': 413, 'less': 414, 'put': 415, 'useless': 416, 'color': 417, 'part': 418, 'expected': 419, 'authentic': 420, 'nokia': 421, 'anything': 422, 'sucks': 423, 'ago': 424, 'wanted': 425, 'waiting': 426, 'rather': 427, 'those': 428, 'things': 429, 'cannot': 430, 'enjoy': 431, 'barely': 432, 'quick': 433, 'pay': 434, 'awful': 435, 'mediocre': 436, 'management': 437, 'see': 438, 'overpriced': 439, 'warm': 440, 'waiter': 441, 'attentive': 442, 'cooked': 443, 'wonderful': 444, 'town': 445, 'ambiance': 446, 'chips': 447, 'special': 448, 'unless': 449, 'decent': 450, 'original': 451, 'yet': 452, 'bars': 453, 'ears': 454, 'hate': 455, 'least': 456, 'turn': 457, 'seems': 458, 'actually': 459, 'large': 460, 'reasonable': 461, 'headphones': 462, 'later': 463, 'beautiful': 464, 'within': 465, 'free': 466, 'pictures': 467, 'such': 468, 'wife': 469, 'ask': 470, 'signal': 471, 'set': 472, 'house': 473, 'glad': 474, 'incredible': 475, 'hit': 476, 'thin': 477, 'mistake': 478, 'cable': 479, 'care': 480, 'lacking': 481, 'having': 482, 'outside': 483, 'others': 484, 'crap': 485, 'plastic': 486, 'oh': 487, 'difficult': 488, '20': 489, 'under': 490, 'star': 491, 'zero': 492, 'samsung': 493, 'extra': 494, 'something': 495, '4': 496, 'easily': 497, 'places': 498, 'pho': 499, 'shrimp': 500, 'tender': 501, 'his': 502, 'potato': 503, 'served': 504, 'her': 505, 'twice': 506, 'dinner': 507, 'line': 508, 'fun': 509, 'razr': 510, 'blue': 511, 'charging': 512, 'mobile': 513, 'hold': 514, 'sturdy': 515, 'party': 516, 'front': 517, 'longer': 518, 'bargain': 519, 'music': 520, 'dont': 521, 'shipping': 522, 'between': 523, 'white': 524, 'although': 525, 'leather': 526, 'strong': 527, 'weeks': 528, 'almost': 529, 'literally': 530, \"wouldn't\": 531, 'charm': 532, 'obviously': 533, 'options': 534, 'needs': 535, 'lost': 536, 'simply': 537, 'reasonably': 538, 'range': 539, 'room': 540, 'important': 541, 'gave': 542, 'feature': 543, 'buying': 544, 'someone': 545, 'weak': 546, 'belt': 547, 'data': 548, 'sides': 549, 'average': 550, 'trying': 551, 'finally': 552, 'today': 553, 'satisfied': 554, 'keep': 555, 'clarity': 556, 'given': 557, 'review': 558, 'store': 559, 'replace': 560, 'above': 561, 'sucked': 562, 't': 563, 'friends': 564, 'please': 565, 'needed': 566, 'plus': 567, 'cases': 568, 'connection': 569, 'reviews': 570, 'told': 571, 'beat': 572, 'wall': 573, 'elsewhere': 574, 'break': 575, 'rare': 576, 'thumbs': 577, 'dirty': 578, 'ok': 579, 'fact': 580, 'wow': 581, 'asked': 582, 'tables': 583, 'portions': 584, 'sick': 585, 'dessert': 586, 'beef': 587, 'servers': 588, 'seafood': 589, 'pasta': 590, 'tasteless': 591, 'fish': 592, '30': 593, 'sweet': 594, 'thai': 595, 'eaten': 596, 'seated': 597, 'bacon': 598, 'sat': 599, 'ice': 600, 'bread': 601, 'fried': 602, 'enjoyed': 603, 'anytime': 604, 'bring': 605, 'mic': 606, 'sending': 607, 'owner': 608, 'clip': 609, 'below': 610, '7': 611, 'instructions': 612, 'provided': 613, 'included': 614, 'recommended': 615, 'performance': 616, 'thats': 617, 'keyboard': 618, 'instead': 619, 'support': 620, 'perhaps': 621, 'player': 622, 'let': 623, 'person': 624, 'station': 625, 'purchased': 626, 'holds': 627, 'decision': 628, 'comfortably': 629, 'basically': 630, 'stuff': 631, 'forever': 632, 'goes': 633, 'tool': 634, 'lasts': 635, 'bother': 636, 'able': 637, 'lightweight': 638, 'favorite': 639, 'market': 640, 'earpiece': 641, '8': 642, 'unreliable': 643, 'whole': 644, 'seller': 645, 'plantronics': 646, 'poorly': 647, 'charged': 648, 'strip': 649, 'lg': 650, 'immediately': 651, 'cant': 652, 'easier': 653, 'face': 654, 'happier': 655, 'comes': 656, 'dead': 657, 'might': 658, 'expensive': 659, 'liked': 660, 'palm': 661, 'ended': 662, 'touch': 663, 'own': 664, 'total': 665, 'cingular': 666, \"isn't\": 667, 'ringtones': 668, 'joke': 669, 'stop': 670, 'walked': 671, 'course': 672, 'treo': 673, 'usb': 674, 'believe': 675, 'point': 676, 'red': 677, 'guess': 678, 'third': 679, 'chinese': 680, 'despite': 681, 'hand': 682, 'cut': 683, 'else': 684, 'until': 685, 'checked': 686, 'setting': 687, 'totally': 688, 'damn': 689, 'tacos': 690, 'running': 691, 'salmon': 692, 'visit': 693, 'establishment': 694, 'husband': 695, 'heart': 696, 'drinks': 697, 'rice': 698, 'yummy': 699, \"we'll\": 700, 'wine': 701, 'trip': 702, 'steaks': 703, 'leave': 704, 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1640, 'reversible': 1641, 'contstruct': 1642, 'hinge': 1643, 'installed': 1644, 'overnite': 1645, 'handset': 1646, 'cat': 1647, 'attacked': 1648, 'protective': 1649, 'destroying': 1650, 'razor': 1651, 'v3i': 1652, 'shouldve': 1653, 'invented': 1654, 'sooner': 1655, 'engineered': 1656, 'clever': 1657, 'complained': 1658, \"headset's\": 1659, '2160': 1660, 'tracfone': 1661, 'instruction': 1662, 'manual': 1663, 'alarm': 1664, 'clock': 1665, 'removing': 1666, 'antena': 1667, 'compared': 1668, 'state': 1669, 'allow': 1670, 'usage': 1671, 'ngage': 1672, 'earbuds': 1673, 'riingtones': 1674, 'rip': 1675, 'frequentyly': 1676, 'adhesive': 1677, 'practically': 1678, 'add': 1679, 'boost': 1680, 'concrete': 1681, 'knock': 1682, 'wood': 1683, 'transformed': 1684, 'organizational': 1685, 'capability': 1686, 'vehicle': 1687, 'cradle': 1688, 'jerks': 1689, 'los': 1690, 'angeles': 1691, 'starter': 1692, 'loudspeaker': 1693, 'option': 1694, 'bumpers': 1695, 'lights': 1696, 'improve': 1697, 'leaks': 1698, 'according': 1699, 'called': 1700, 'applifies': 1701, 'specially': 1702, 'transmission': 1703, 's11': 1704, 'finished': 1705, 'drivng': 1706, 'reverse': 1707, 'tape': 1708, 'embarassing': 1709, 'hurt': 1710, 'protects': 1711, 'operates': 1712, 'soyo': 1713, 'portraits': 1714, 'exterior': 1715, 'mentioned': 1716, 'gadgets': 1717, 'magical': 1718, 'comparably': 1719, 'offering': 1720, 'encourage': 1721, 'effective': 1722, 'recieve': 1723, 'cradles': 1724, 'kits': 1725, 'excelent': 1726, 'cingulair': 1727, 'nicer': 1728, 'era': 1729, 'colored': 1730, 'hoursthe': 1731, 'thereplacement': 1732, '2000': 1733, 'cheaply': 1734, 'distorted': 1735, 'yell': 1736, 'forgot': 1737, 'iriver': 1738, 'spinn': 1739, 'fond': 1740, 'magnetic': 1741, 'strap': 1742, 'psyched': 1743, 'appointments': 1744, 'appearance': 1745, 'sanyo': 1746, 'survived': 1747, 'dozens': 1748, 'blacktop': 1749, 'ill': 1750, 'earphones': 1751, 'finds': 1752, 'enter': 1753, 'modest': 1754, 'cellular': 1755, 'awsome': 1756, 'drained': 1757, 'earpad': 1758, 'displeased': 1759, 'defect': 1760, 'risk': 1761, 'built': 1762, 'restored': 1763, 'jx': 1764, 'searched': 1765, 'pad': 1766, 'lit': 1767, 'portable': 1768, 'colleague': 1769, 'fully': 1770, 'bed': 1771, 'wi': 1772, 'fi': 1773, 'morning': 1774, 'card': 1775, 'hat': 1776, 'timely': 1777, 'shipment': 1778, 'surefire': 1779, 'gx2': 1780, 'bt50': 1781, 'buyers': 1782, 'remorse': 1783, 'accessoryone': 1784, 'inexcusable': 1785, 'carriers': 1786, 'tmobile': 1787, 'procedure': 1788, 'motorolas': 1789, 'vx9900': 1790, 'env': 1791, 'rocketed': 1792, 'destination': 1793, 'unknown': 1794, 'conditions': 1795, 'usefulness': 1796, \"verizon's\": 1797, 'bills': 1798, 'plans': 1799, 'overnight': 1800, 'regret': 1801, 'pitiful': 1802, 'respect': 1803, 'stuck': 1804, 'max': 1805, 'mute': 1806, 'hybrid': 1807, 'palmtop': 1808, 'excels': 1809, 'roles': 1810, 'bt250v': 1811, 'bose': 1812, 'cancelling': 1813, 'commuter': 1814, 'photo': 1815, 'ad': 1816, 'earlier': 1817, 'noted': 1818, 'happens': 1819, 'frog': 1820, 'eye': 1821, 'pushed': 1822, 'function': 1823, 'aluminum': 1824, 'vx': 1825, 'protected': 1826, 'handheld': 1827, 'tools': 1828, 'sturdiness': 1829, 'source': 1830, 'waterproof': 1831, 'sliding': 1832, 'edge': 1833, 'pants': 1834, 'pockets': 1835, 'ugly': 1836, 'shield': 1837, 'incrediable': 1838, 'improvement': 1839, 'refuse': 1840, 'activate': 1841, 'gentle': 1842, 'threw': 1843, 'window': 1844, 'inches': 1845, 'counter': 1846, 'cracked': 1847, 'laughing': 1848, 'trunk': 1849, 'carried': 1850, 'hitch': 1851, 'practical': 1852, 'channel': 1853, 'directly': 1854, 'increase': 1855, 'shifting': 1856, 'bubbling': 1857, 'peeling': 1858, 'scratch': 1859, 'droid': 1860, 'exercise': 1861, 'frustration': 1862, 'earset': 1863, 'outgoing': 1864, 'package': 1865, 'understanding': 1866, 'patient': 1867, 'wirefly': 1868, 'contact': 1869, 'inform': 1870, 'practice': 1871, 'aggravating': 1872, 'virgin': 1873, 'muddy': 1874, 'casing': 1875, \"wire's\": 1876, 'insert': 1877, 'glued': 1878, 'slid': 1879, 'plantronincs': 1880, 'continues': 1881, 'flawed': 1882, 'disapointing': 1883, 'fourth': 1884, 'fixes': 1885, 'accessing': 1886, 'downloading': 1887, 'performing': 1888, 'functions': 1889, 'constantly': 1890, 'happening': 1891, 'adapters': 1892, 'procedures': 1893, 're': 1894, 'wiping': 1895, 'strength': 1896, 'plays': 1897, 'louder': 1898, 'navigate': 1899, 'recessed': 1900, 'avoiding': 1901, 'smoking': 1902, 'linked': 1903, 'possesed': 1904, 'trash': 1905, 'research': 1906, 'development': 1907, 'division': 1908, 'knows': 1909, 'infuriating': 1910, 'walkman': 1911, 'charges': 1912, 'europe': 1913, 'asia': 1914, 'clipping': 1915, 'deffinitely': 1916, \"cent's\": 1917, 'behing': 1918, '5020': 1919, 'comfortible': 1920, '24': 1921, 'pain': 1922, 'arrival': 1923, 'fraction': 1924, 'crappy': 1925, 'e715': 1926, 'seeen': 1927, 'interface': 1928, 'decade': 1929, 'compete': 1930, 'designs': 1931, '700w': 1932, 'transceiver': 1933, 'steer': 1934, 'genuine': 1935, 'replacementr': 1936, 'pens': 1937, 'buyit': 1938, 'beats': 1939, 'fingers': 1940, 'steep': 1941, 'normally': 1942, 'haul': 1943, 'dissapointing': 1944, 'originally': 1945, 'discarded': 1946, 'players': 1947, 'posted': 1948, 'detailed': 1949, 'comments': 1950, 'grey': 1951, 'existing': 1952, 'cds': 1953, 'currently': 1954, 'shooters': 1955, 'delay': 1956, 'messes': 1957, 'bitpim': 1958, 'program': 1959, 'transfer': 1960, 'accessory': 1961, 'manufacturer': 1962, 'muffled': 1963, 'incoming': 1964, 'severe': 1965, 'resistant': 1966, 'overly': 1967, 'contacted': 1968, 'produce': 1969, 'receipt': 1970, 'linksys': 1971, 'exchange': 1972, 'refurb': 1973, 'snug': 1974, 'heavy': 1975, 'keeps': 1976, 'utter': 1977, 'promised': 1978, 'loop': 1979, 'latch': 1980, 'visor': 1981, 'address': 1982, 'reboots': 1983, 'tungsten': 1984, 'e2': 1985, 'flipphones': 1986, 'designed': 1987, 'smoothly': 1988, 'study': 1989, 'interested': 1990, 'sins': 1991, 'industrial': 1992, 'tracking': 1993, 'detachable': 1994, 'periodically': 1995, 'upload': 1996, 'locks': 1997, 'screens': 1998, 'randomly': 1999, 'locked': 2000, '325': 2001, 'worn': 2002, 'ringer': 2003, 'choices': 2004, 'acceptable': 2005, 'balance': 2006, 'ready': 2007, 'upbeat': 2008, 'forgeries': 2009, 'abound': 2010, 'explain': 2011, 'jack': 2012, 'ca': 2013, '42': 2014, 'smallest': 2015, 'stays': 2016, 'drains': 2017, 'superfast': 2018, 'ergonomic': 2019, 'theory': 2020, 'stand': 2021, 'clips': 2022, 'occupied': 2023, 'distracting': 2024, 'except': 2025, 'cbr': 2026, 'mp3s': 2027, 'preferably': 2028, 'windows': 2029, 'media': 2030, 'sos': 2031, 'signals': 2032, 'connect': 2033, 'mini': 2034, 'near': 2035, 'open': 2036, 'allowing': 2037, 'startac': 2038, 'regretted': 2039, 'outperform': 2040, 'china': 2041, 'v325i': 2042, 'numbers': 2043, 'sim': 2044, '3o': 2045, 'r': 2046, 'crashed': 2047, 'replaced': 2048, '18': 2049, '4s': 2050, 'connecting': 2051, 'sources': 2052, 'imac': 2053, 'external': 2054, 'bells': 2055, 'whistles': 2056, 'slide': 2057, 'grip': 2058, 'prevents': 2059, 'slipping': 2060, 'span': 2061, 'exclaim': 2062, 'whoa': 2063, 'tv': 2064, 'corded': 2065, 'freedom': 2066, 'mark': 2067, 'shows': 2068, 'functional': 2069, 'soft': 2070, 'tight': 2071, 'shape': 2072, 'copier': 2073, 'sent': 2074, 'anywhere': 2075, 'sold': 2076, 'units': 2077, 'krussel': 2078, 'tracfonewebsite': 2079, 'toactivate': 2080, 'texas': 2081, 'dit': 2082, '5320': 2083, 'mainly': 2084, 'whatever': 2085, 'blueant': 2086, 'supertooth': 2087, 'pcs': 2088, 'sch': 2089, 'r450': 2090, 'slider': 2091, 'premium': 2092, 'plugs': 2093, 'plenty': 2094, 'capacity': 2095, 'confortable': 2096, 'periods': 2097, 'ant': 2098, 'hey': 2099, 'pleasantly': 2100, 'suprised': 2101, 'dustpan': 2102, 'indoors': 2103, 'disposable': 2104, 'puff': 2105, 'ride': 2106, 'smoother': 2107, 'nano': 2108, 'dissapointed': 2109, 'reccommend': 2110, 'carries': 2111, 'highest': 2112, 'anti': 2113, 'glare': 2114, 'smartphone': 2115, 'wont': 2116, 'atleast': 2117, 'addition': 2118, 'amp': 2119, 'reoccure': 2120, 'somewhere': 2121, 'creaks': 2122, 'wooden': 2123, 'floor': 2124, 'apartment': 2125, 'generally': 2126, 'inconspicuous': 2127, 'slowly': 2128, 'impossible': 2129, 'upgrade': 2130, 'securly': 2131, 'possibility': 2132, 'booking': 2133, 'entertainment': 2134, 'communication': 2135, 'activesync': 2136, 'optimal': 2137, 'synchronization': 2138, 'coupon': 2139, 'instance': 2140, 'ps3': 2141, 'cheapy': 2142, 'shouting': 2143, 'telephone': 2144, 'yes': 2145, 'shiny': 2146, 'grtting': 2147, '44': 2148, 'v3c': 2149, 'exceeds': 2150, 'sight': 2151, 'improper': 2152, 'effects': 2153, 'palms': 2154, 'hoped': 2155, 'father': 2156, 'v265': 2157, 'pads': 2158, 'stops': 2159, 'intermittently': 2160, 'reaching': 2161, 'row': 2162, 'keys': 2163, 'nightmare': 2164, 'describe': 2165, 'speakerphone': 2166, 'cassette': 2167, 'cellphones': 2168, 'planning': 2169, \"other's\": 2170, 'products': 2171, 'sensor': 2172, 'reliability': 2173, 'beeping': 2174, 'dieing': 2175, 'ir': 2176, 'cancellation': 2177, 'counterfeit': 2178, 'travled': 2179, 'swivel': 2180, 'sister': 2181, 'dual': 2182, '8125': 2183, 'keeping': 2184, 'bottowm': 2185, 'gimmick': 2186, 'opens': 2187, 'causing': 2188, 'discomfort': 2189, 'trust': 2190, 'maintains': 2191, 'flawless': 2192, 'devices': 2193, 'utterly': 2194, 'confusing': 2195, 'holder': 2196, 'cutouts': 2197, 'land': 2198, 'loops': 2199, 'material': 2200, 'flaws': 2201, 'owning': 2202, 'official': 2203, 'oem': 2204, 'loudest': 2205, 'competitors': 2206, 'saved': 2207, 'alot': 2208, 'cuts': 2209, 'unintelligible': 2210, 'restart': 2211, 'bend': 2212, 'leaf': 2213, 'metal': 2214, 'stress': 2215, 'leopard': 2216, 'print': 2217, 'wonderfully': 2218, 'wild': 2219, 'saggy': 2220, 'floppy': 2221, 'looses': 2222, 'snap': 2223, '8525': 2224, 'carry': 2225, 'fliptop': 2226, 'loose': 2227, 'wobbly': 2228, 'eventually': 2229, 'receive': 2230, 'fulfills': 2231, 'requirements': 2232, 'rests': 2233, 'against': 2234, 'websites': 2235, 'cables': 2236, 'lap': 2237, 'controls': 2238, 'accessable': 2239, 'mine': 2240, 'satisifed': 2241, '2005': 2242, 's710a': 2243, 'specs': 2244, 'armband': 2245, 'allot': 2246, 'clearer': 2247, 'keypads': 2248, 'reach': 2249, 'ericson': 2250, 'z500a': 2251, 'motor': 2252, 'control': 2253, 'center': 2254, 'voltage': 2255, 'humming': 2256, 'equipment': 2257, 'certain': 2258, 'girl': 2259, 'wake': 2260, 'styling': 2261, 'restocking': 2262, 'fee': 2263, 'darn': 2264, 'lousy': 2265, 'sweetest': 2266, 'securely': 2267, 'hook': 2268, 'directed': 2269, 'canal': 2270, 'unsatisfactory': 2271, 'videos': 2272, 'negatively': 2273, 'adapter': 2274, 'provide': 2275, 'hype': 2276, 'assumed': 2277, 'lense': 2278, 'falls': 2279, 'text': 2280, 'messaging': 2281, 'tricky': 2282, 'painful': 2283, 'lasted': 2284, 'blew': 2285, 'flops': 2286, 'smudged': 2287, 'touches': 2288, 'infra': 2289, 'port': 2290, 'irda': 2291, 'bank': 2292, 'holiday': 2293, 'rick': 2294, 'steve': 2295, 'angry': 2296, 'honeslty': 2297, 'ahead': 2298, 'warmer': 2299, 'wayyy': 2300, 'cape': 2301, 'cod': 2302, 'ravoli': 2303, 'chickenwith': 2304, 'cranberry': 2305, 'disgusted': 2306, 'shocked': 2307, 'indicate': 2308, 'cash': 2309, 'burrittos': 2310, 'blah': 2311, 'interior': 2312, 'velvet': 2313, 'cake': 2314, 'ohhh': 2315, 'hole': 2316, 'street': 2317, 'luke': 2318, 'sever': 2319, 'combos': 2320, '23': 2321, 'final': 2322, 'blow': 2323, 'accident': 2324, 'grab': 2325, 'pub': 2326, 'redeeming': 2327, 'hiro': 2328, 'drag': 2329, 'melted': 2330, 'styrofoam': 2331, 'fear': 2332, 'positive': 2333, 'pucks': 2334, 'disgust': 2335, 'register': 2336, 'rib': 2337, 'section': 2338, 'generic': 2339, 'firehouse': 2340, 'refreshing': 2341, 'pink': 2342, 'chow': 2343, 'mein': 2344, 'imaginative': 2345, 'lined': 2346, 'strings': 2347, 'banana': 2348, 'petrified': 2349, 'struggle': 2350, 'wave': 2351, 'receives': 2352, 'cocktails': 2353, 'handmade': 2354, \"we'd\": 2355, 'military': 2356, 'dos': 2357, 'gringos': 2358, 'tastings': 2359, 'jeff': 2360, 'milkshake': 2361, 'chocolate': 2362, 'milk': 2363, 'excalibur': 2364, 'common': 2365, 'sense': 2366, 'appalling': 2367, 'cheated': 2368, 'experiencing': 2369, 'relationship': 2370, 'parties': 2371, 'smelled': 2372, 'trap': 2373, 'turkey': 2374, 'pan': 2375, 'cakes': 2376, 'raving': 2377, 'disaster': 2378, 'tailored': 2379, 'palate': 2380, 'ratio': 2381, 'tenders': 2382, 'unsatisfying': 2383, 'omelets': 2384, 'summary': 2385, 'largely': 2386, 'sexy': 2387, 'outrageously': 2388, 'flirting': 2389, 'hottest': 2390, 'rock': 2391, 'casino': 2392, 'step': 2393, 'forward': 2394, 'bone': 2395, 'bloddy': 2396, \"mary's\": 2397, 'mussels': 2398, 'reduction': 2399, 'buffets': 2400, 'tigerlilly': 2401, 'afternoon': 2402, 'personable': 2403, 'sooooo': 2404, \"let's\": 2405, 'yama': 2406, '40min': 2407, 'arriving': 2408, 'actual': 2409, 'blandest': 2410, 'cuisine': 2411, 'worries': 2412, 'guys': 2413, 'loving': 2414, \"he's\": 2415, 'venture': 2416, 'further': 2417, 'host': 2418, 'lack': 2419, 'bitches': 2420, 'liking': 2421, 'reasons': 2422, 'reviewing': 2423, 'phenomenal': 2424, 'venturing': 2425, 'penne': 2426, 'vodka': 2427, 'including': 2428, 'massive': 2429, 'meatloaf': 2430, 'lox': 2431, 'capers': 2432, 'meet': 2433, 'weekend': 2434, 'suggestions': 2435, 'bamboo': 2436, 'shoots': 2437, 'blanket': 2438, 'moz': 2439, 'subpar': 2440, 'attention': 2441, 'ignore': 2442, 'fiancé': 2443, 'middle': 2444, 'mandalay': 2445, 'forty': 2446, 'vain': 2447, 'crostini': 2448, 'highlights': 2449, 'nigiri': 2450, 'flavored': 2451, 'voodoo': 2452, 'gluten': 2453, 'leftover': 2454, 'relocated': 2455, 'diverse': 2456, 'hella': 2457, 'salty': 2458, 'spinach': 2459, 'avocado': 2460, 'ingredients': 2461, 'handed': 2462, 'listed': 2463, 'waitresses': 2464, 'lordy': 2465, 'khao': 2466, 'soi': 2467, 'terrific': 2468, 'thrilled': 2469, 'accommodations': 2470, 'daughter': 2471, 'caught': 2472, 'judging': 2473, 'inspired': 2474, 'leaves': 2475, 'desired': 2476, 'modern': 2477, 'maintaining': 2478, 'coziness': 2479, 'weekly': 2480, 'haunt': 2481, 'asking': 2482, 'verge': 2483, 'dressed': 2484, 'rudely': 2485, 'hits': 2486, 'quantity': 2487, 'lemon': 2488, 'raspberry': 2489, 'cocktail': 2490, 'imagined': 2491, 'crepe': 2492, 'bits': 2493, 'missing': 2494, \"joey's\": 2495, 'voted': 2496, 'readers': 2497, 'magazine': 2498, 'fridays': 2499, 'blows': 2500, 'exceeding': 2501, 'dreamed': 2502, 'serivce': 2503, 'inviting': 2504, 'lived': 2505, '1979': 2506, 'foot': 2507, 'mixed': 2508, 'mushrooms': 2509, 'yukon': 2510, 'corn': 2511, 'beateous': 2512, 'showed': 2513, 'climbing': 2514, 'tartar': 2515, 'jamaican': 2516, 'mojitos': 2517, 'rich': 2518, 'accordingly': 2519, 'rinse': 2520, 'nude': 2521, 'bussell': 2522, 'sprouts': 2523, 'risotto': 2524, 'hopefully': 2525, 'bodes': 2526, 'wrapped': 2527, 'dates': 2528, 'unbelievable': 2529, 'otto': 2530, 'welcome': 2531, 'mains': 2532, 'uninspired': 2533, 'whenever': 2534, \"world's\": 2535, 'annoying': 2536, 'drunk': 2537, 'patty': 2538, 'uploaded': 2539, 'yeah': 2540, 'sporting': 2541, 'events': 2542, 'walls': 2543, \"tv's\": 2544, \"they'd\": 2545, 'descriptions': 2546, 'eel': 2547, 'sauces': 2548, 'hardest': 2549, \"m's\": 2550, 'supposed': 2551, 'rolled': 2552, 'eyes': 2553, 'providing': 2554, 'flavourful': 2555, 'freezing': 2556, 'reviewer': 2557, 'delights': 2558, 'ayce': 2559, 'lighting': 2560, 'mood': 2561, 'based': 2562, 'gratitude': 2563, \"owner's\": 2564, 'privileged': 2565, 'parents': 2566, 'silently': 2567, 'peanut': 2568, \"would've\": 2569, 'godfathers': 2570, 'tough': 2571, 'recall': 2572, 'exquisite': 2573, 'thus': 2574, 'visited': 2575, 'proclaimed': 2576, 'wildly': 2577, 'veggitarian': 2578, 'platter': 2579, 'madison': 2580, 'ironman': 2581, 'chefs': 2582, 'dedicated': 2583, 'spots': 2584, 'jenni': 2585, 'goat': 2586, 'skimp': 2587, 'mac': 2588, 'stinks': 2589, 'burned': 2590, 'saganaki': 2591, 'disagree': 2592, 'fellow': 2593, 'yelpers': 2594, 'prepared': 2595, 'writing': 2596, 'noodles': 2597, 'chip': 2598, 'count': 2599, 'box': 2600, 'boring': 2601, 'greedy': 2602, 'corporation': 2603, 'dime': 2604, 'atrocious': 2605, 'charming': 2606, 'outdoor': 2607, 'english': 2608, 'muffin': 2609, 'untoasted': 2610, 'bus': 2611, 'figured': 2612, 'publicly': 2613, 'loudly': 2614, 'bbq': 2615, 'lighter': 2616, 'public': 2617, 'ways': 2618, 'downside': 2619, 'shawarrrrrrma': 2620, 'eyed': 2621, 'peas': 2622, 'unreal': 2623, 'vinaigrette': 2624, '00': 2625, 'honor': 2626, 'hut': 2627, 'coupons': 2628, 'unbelievably': 2629, 'covers': 2630, 'replenished': 2631, 'plain': 2632, 'yucky': 2633, '17': 2634, 'delicioso': 2635, 'spaghetti': 2636, 'tucson': 2637, 'chipotle': 2638, 'succulent': 2639, 'baseball': 2640, 'app': 2641, 'genuinely': 2642, 'enthusiastic': 2643, 'sadly': 2644, 'gordon': 2645, \"ramsey's\": 2646, 'shall': 2647, 'sharply': 2648, 'offered': 2649, 'handling': 2650, 'rowdy': 2651, 'despicable': 2652, 'craving': 2653, 'ache': 2654, 'ball': 2655, 'space': 2656, 'elegantly': 2657, 'customize': 2658, 'usual': 2659, 'bean': 2660, 'outta': 2661, 'inconsiderate': 2662, 'hi': 2663, 'dinners': 2664, 'outshining': 2665, 'halibut': 2666, 'starving': 2667, '90': 2668, 'disgrace': 2669, 'def': 2670, 'ethic': 2671, 'andddd': 2672, 'past': 2673, 'located': 2674, 'crystals': 2675, 'shopping': 2676, 'aria': 2677, 'summarize': 2678, 'nay': 2679, 'transcendant': 2680, 'brings': 2681, 'pneumatic': 2682, 'condiment': 2683, 'dispenser': 2684, 'ians': 2685, 'kiddos': 2686, 'bouchon': 2687, 'accountant': 2688, 'screwed': 2689, 'reminds': 2690, 'shops': 2691, 'san': 2692, 'francisco': 2693, 'buldogis': 2694, 'gourmet': 2695, 'frustrated': 2696, 'petty': 2697, 'iced': 2698, 'hungry': 2699, 'teeth': 2700, 'sore': 2701, 'companions': 2702, 'ground': 2703, 'smeared': 2704, 'tracked': 2705, 'pile': 2706, 'bird': 2707, 'poop': 2708, 'furthermore': 2709, 'operation': 2710, 'expert': 2711, 'connisseur': 2712, 'topic': 2713, 'jerk': 2714, 'strike': 2715, 'wants': 2716, 'rushed': 2717, 'across': 2718, 'appetizer': 2719, 'absolutley': 2720, '5lb': 2721, '4ths': 2722, 'gristle': 2723, 'fat': 2724, 'steiners': 2725, 'dollars': 2726, 'fs': 2727, 'pears': 2728, 'almonds': 2729, 'spicier': 2730, 'prefer': 2731, 'ribeye': 2732, 'mesquite': 2733, 'gooodd': 2734, 'connoisseur': 2735, 'difference': 2736, 'contained': 2737, 'mouthful': 2738, 'enjoyable': 2739, 'relaxed': 2740, 'venue': 2741, 'couples': 2742, 'groups': 2743, 'nargile': 2744, 'tater': 2745, 'southwest': 2746, 'vanilla': 2747, 'smooth': 2748, 'profiterole': 2749, 'choux': 2750, 'pastry': 2751, 'az': 2752, \"carly's\": 2753, 'forgetting': 2754, 'ventilation': 2755, 'upgrading': 2756, 'letdown': 2757, 'camelback': 2758, 'shop': 2759, 'cartel': 2760, 'trimmed': 2761, '70': 2762, 'claimed': 2763, 'handled': 2764, 'beautifully': 2765, 'jewel': 2766, 'las': 2767, 'limited': 2768, 'boiled': 2769, 'toro': 2770, 'tartare': 2771, 'cavier': 2772, 'extraordinary': 2773, 'thinly': 2774, 'wagyu': 2775, 'truffle': 2776, 'attached': 2777, 'gas': 2778, 'sign': 2779, 'decide': 2780, 'humiliated': 2781, 'worker': 2782, 'name': 2783, 'callings': 2784, 'conclusion': 2785, 'daily': 2786, 'specials': 2787, 'tragedy': 2788, 'struck': 2789, 'pancake': 2790, 'crawfish': 2791, 'monster': 2792, \"mom's\": 2793, 'multi': 2794, 'grain': 2795, 'pumpkin': 2796, 'pecan': 2797, 'fluffy': 2798, 'airline': 2799, 'noca': 2800, 'gyro': 2801, 'lettuce': 2802, 'thoroughly': 2803, 'pastas': 2804, 'cheesecurds': 2805, 'typical': 2806, 'glance': 2807, 'finger': 2808, 'beauty': 2809, 'greasy': 2810, 'unhealthy': 2811, 'similarly': 2812, 'man': 2813, 'apology': 2814, 'tiramisu': 2815, 'cannoli': 2816, 'sun': 2817, 'meats': 2818, 'frenchman': 2819, 'martini': 2820, 'opinion': 2821, 'gc': 2822, 'sample': 2823, 'thirty': 2824, 'vacant': 2825, 'yellowtail': 2826, 'carpaccio': 2827, 'strangers': 2828, 'hello': 2829, 'donut': 2830, 'saving': 2831, 'disgraceful': 2832, 'suffers': 2833, 'greens': 2834, 'hearts': 2835, 'hankering': 2836, 'forth': 2837, 'consider': 2838, 'theft': 2839, 'eew': 2840, 'complete': 2841, 'overhaul': 2842, 'witnessed': 2843, 'guests': 2844, 'regularly': 2845, 'swung': 2846, 'deeply': 2847, 'efficient': 2848, 'sucker': 2849, 'olives': 2850, 'perpared': 2851, 'giant': 2852, 'slices': 2853, 'dusted': 2854, 'powdered': 2855, 'sugar': 2856, 'fo': 2857, 'accomodate': 2858, 'vegan': 2859, 'veggie': 2860, 'crumby': 2861, 'pale': 2862, 'croutons': 2863, \"it'll\": 2864, 'trips': 2865, 'crema': 2866, 'café': 2867, 'expanded': 2868, 'miss': 2869, 'philadelphia': 2870, 'north': 2871, 'scottsdale': 2872, 'soooooo': 2873, 'freaking': 2874, 'papers': 2875, 'reheated': 2876, 'wedges': 2877, 'absolute': 2878, 'tongue': 2879, 'cheek': 2880, 'bloody': 2881, 'mary': 2882, 'businesses': 2883, 'yellow': 2884, 'saffron': 2885, 'seasoning': 2886, 'grandmother': 2887, 'ignored': 2888, 'hostess': 2889, 'myself': 2890, 'boys': 2891, 'shirt': 2892, 'drastically': 2893, 'caesar': 2894, 'madhouse': 2895, 'proven': 2896, 'greatest': 2897, 'moods': 2898, 'macarons': 2899, 'insanely': 2900, 'informative': 2901, \"weren't\": 2902, 'deliver': 2903, 'plater': 2904, 'relax': 2905, 'sit': 2906, 'screams': 2907, \"somethat's\": 2908, 'duo': 2909, 'violinists': 2910, 'requested': 2911, 'personally': 2912, 'baklava': 2913, 'falafels': 2914, 'baba': 2915, 'ganoush': 2916, 'mgm': 2917, 'courteous': 2918, 'eclectic': 2919, 'onion': 2920, 'rings': 2921, 'nobu': 2922, 'google': 2923, 'smashburger': 2924, 'lover': 2925, 'gem': 2926, 'plantains': 2927, 'spends': 2928, 'themselves': 2929, 'panna': 2930, 'cotta': 2931, 'flavors': 2932, 'slaw': 2933, 'drenched': 2934, 'piano': 2935, 'soundtrack': 2936, 'rge': 2937, 'fillet': 2938, 'relleno': 2939, 'sergeant': 2940, 'auju': 2941, 'hawaiian': 2942, 'breeze': 2943, 'mango': 2944, 'magic': 2945, 'pineapple': 2946, 'smoothies': 2947, 'mortified': 2948, 'anyways': 2949, 'dripping': 2950, '2007': 2951, 'hospitality': 2952, 'industry': 2953, 'paradise': 2954, 'refrained': 2955, 'recommending': 2956, 'cibo': 2957, 'mean': 2958, 'famous': 2959, 'mouths': 2960, 'bellies': 2961, 'reminded': 2962, 'dough': 2963, 'tonight': 2964, 'elk': 2965, 'hooked': 2966, 'classics': 2967, 'sorely': 2968, 'quaint': 2969, 'deliciously': 2970, 'dylan': 2971, 'tummy': 2972, 'gratuity': 2973, 'larger': 2974, 'apple': 2975, 'han': 2976, 'nan': 2977, \"ryan's\": 2978, 'edinburgh': 2979, 'revisiting': 2980, 'naan': 2981, 'pine': 2982, 'nut': 2983, 'touched': 2984, 'airport': 2985, 'speedy': 2986, 'calligraphy': 2987, 'stood': 2988, 'begin': 2989, 'awkwardly': 2990, 'opened': 2991, 'guest': 2992, 'extensive': 2993, 'wide': 2994, 'array': 2995, 'inflate': 2996, 'smaller': 2997, 'grow': 2998, 'rapidly': 2999, 'lil': 3000, 'fuzzy': 3001, 'wontons': 3002, 'thick': 3003, 'level': 3004, 'spice': 3005, 'whelm': 3006, 'main': 3007, 'older': 3008, '30s': 3009, 'arepas': 3010, 'jalapeno': 3011, 'shoe': 3012, 'block': 3013, 'fancy': 3014, 'affordable': 3015, 'sour': 3016, 'soups': 3017, 'sunday': 3018, 'traditional': 3019, 'hunan': 3020, 'flair': 3021, 'bartenders': 3022, 'nutshell': 3023, 'restaraunt': 3024, 'smells': 3025, 'sewer': 3026, \"girlfriend's\": 3027, 'veal': 3028, 'satifying': 3029, 'join': 3030, 'club': 3031, 'email': 3032, 'colder': 3033, 'describing': 3034, 'tepid': 3035, 'chains': 3036, 'words': 3037, 'crowds': 3038, 'juries': 3039, 'lawyers': 3040, 'court': 3041, 'arrives': 3042, 'paying': 3043, '85': 3044, \"kid's\": 3045, 'wienerschnitzel': 3046, 'classic': 3047, 'maine': 3048, 'roll': 3049, 'brother': 3050, 'law': 3051, 'hereas': 3052, 'event': 3053, 'held': 3054, 'pissd': 3055, 'surprise': 3056, 'golden': 3057, 'hopes': 3058, 'bruschetta': 3059, 'devine': 3060, 'employee': 3061, 'lastly': 3062, 'mozzarella': 3063, 'negligent': 3064, 'unwelcome': 3065, 'suggest': 3066, 'consistent': 3067, 'packed': 3068, 'seasonal': 3069, 'fruit': 3070, 'peach': 3071, 'officially': 3072, 'blown': 3073, 'containers': 3074, 'opposed': 3075, 'cramming': 3076, 'takeout': 3077, 'boxes': 3078, 'crêpe': 3079, 'delicate': 3080, 'fair': 3081, 'kabuki': 3082, 'maria': 3083, 'article': 3084, 'spices': 3085, 'fucking': 3086, \"caballero's\": 3087, 'head': 3088, 'oysters': 3089, 'round': 3090, 'disbelief': 3091, 'qualified': 3092, 'version': 3093, 'foods': 3094, 'tolerance': 3095, 'polite': 3096, 'wash': 3097, 'biscuit': 3098, 'coconut': 3099, 'fella': 3100, 'huevos': 3101, 'rancheros': 3102, 'wines': 3103, 'pricey': 3104, 'temp': 3105, 'prepare': 3106, 'bare': 3107, 'gloves': 3108, 'deep': 3109, 'oil': 3110, 'pleasure': 3111, 'plethora': 3112, 'sandwiches': 3113, 'seal': 3114, 'approval': 3115, 'college': 3116, 'cooking': 3117, 'class': 3118, 'editing': 3119, 'besides': 3120, \"costco's\": 3121, 'highlighted': 3122, 'unique': 3123, 'grocery': 3124, 'japanese': 3125, 'dude': 3126, 'doughy': 3127, 'inch': 3128, 'wire': 3129, 'ourselves': 3130, 'albondigas': 3131, 'tomato': 3132, 'meatballs': 3133, 'occasions': 3134, 'medium': 3135, 'bloodiest': 3136, 'anymore': 3137, 'chai': 3138, 'latte': 3139, 'allergy': 3140, 'warnings': 3141, 'clue': 3142, 'contain': 3143, 'peanuts': 3144, 'mediterranean': 3145, 'beers': 3146, 'highlight': 3147, 'concern': 3148, 'mellow': 3149, 'mushroom': 3150, 'strawberry': 3151, 'unprofessional': 3152, 'loyal': 3153, 'patron': 3154, 'occasional': 3155, 'pats': 3156, 'bellagio': 3157, 'anticipated': 3158, 'correct': 3159, 'sals': 3160, 'fav': 3161, 'unexperienced': 3162, 'employees': 3163, 'chickens': 3164, 'heads': 3165, 'steakhouse': 3166, 'concept': 3167, 'guacamole': 3168, 'puréed': 3169, 'postinos': 3170, 'poisoning': 3171, 'batch': 3172, 'thinking': 3173, 'yay': 3174, 'hilarious': 3175, 'eve': 3176, 'remember': 3177, 'caring': 3178, 'teamwork': 3179, 'degree': 3180, 'ri': 3181, 'calamari': 3182, 'fondue': 3183, 'scene': 3184, \"denny's\": 3185, 'downright': 3186, 'waaaaaayyyyyyyyyy': 3187, 'sangria': 3188, 'glass': 3189, 'ridiculous': 3190, 'brisket': 3191, 'trippy': 3192, 'hurry': 3193, 'reservation': 3194, 'stretch': 3195, 'imagination': 3196, 'cashew': 3197, 'chipolte': 3198, 'ranch': 3199, 'dipping': 3200, 'sause': 3201, 'watered': 3202, 'workers': 3203, 'douchey': 3204, 'indoor': 3205, 'garden': 3206, 'con': 3207, 'spotty': 3208, 'ensued': 3209, 'apologize': 3210, 'fill': 3211, 'binge': 3212, 'drinking': 3213, 'carbs': 3214, 'insults': 3215, 'profound': 3216, 'deuchebaggery': 3217, 'solidify': 3218, \"don't'\": 3219, 'combo': 3220, 'ala': 3221, 'cart': 3222, 'blame': 3223, 'rave': 3224, 'del': 3225, 'avoided': 3226, 'hamburger': 3227, 'hell': 3228, \"ya'all\": 3229, 'fireball': 3230, 'disapppointment': 3231, 'correction': 3232, 'heimer': 3233, 'putting': 3234, 'cause': 3235, 'vomited': 3236, 'circumstances': 3237, 'tops': 3238, 'brownish': 3239, 'movies': 3240, 'ha': 3241, 'flop': 3242, '99': 3243, 'bigger': 3244, 'unwrapped': 3245, 'mile': 3246, 'brushfire': 3247, \"hasn't\": 3248, 'closed': 3249, 'mirage': 3250, 'refried': 3251, 'dried': 3252, 'crusty': 3253, 'caterpillar': 3254, 'appetite': 3255, 'instantly': 3256, 'ninja': 3257, \"hadn't\": 3258, 'poured': 3259, 'wound': 3260, 'drawing': 3261}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vfh0WGmKWyjI"
      },
      "source": [
        "# Generate sequences for the reviews\n",
        "Generate a sequence for each review. Set the max length to match the longest review. Add the padding zeros at the end of the review for reviews that are not as long as the longest one."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VwyqBS2nV53o",
        "outputId": "c38613df-0f02-412f-f4f3-249c524a5259",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "sequences = tokenizer.texts_to_sequences(reviews)\n",
        "padded_sequences = pad_sequences(sequences, padding='post')\n",
        "\n",
        "# What is the shape of the vector containing the padded sequences?\n",
        "# The shape shows the number of sequences and the length of each one.\n",
        "print(padded_sequences.shape)\n",
        "\n",
        "# What is the first review?\n",
        "print (reviews[0])\n",
        "\n",
        "# Show the sequence for the first review\n",
        "print(padded_sequences[0])\n",
        "\n",
        "# Try printing the review and padded sequence for other elements."
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1992, 139)\n",
            "So there is no way for me to plug it in here in the US unless I go by a converter.\n",
            "[  28   59    8   56  142   13   61    7  269    6   15   46   15    2\n",
            "  149  449    4   60  113    5 1429    0    0    0    0    0    0    0\n",
            "    0    0    0    0    0    0    0    0    0    0    0    0    0    0\n",
            "    0    0    0    0    0    0    0    0    0    0    0    0    0    0\n",
            "    0    0    0    0    0    0    0    0    0    0    0    0    0    0\n",
            "    0    0    0    0    0    0    0    0    0    0    0    0    0    0\n",
            "    0    0    0    0    0    0    0    0    0    0    0    0    0    0\n",
            "    0    0    0    0    0    0    0    0    0    0    0    0    0    0\n",
            "    0    0    0    0    0    0    0    0    0    0    0    0    0    0\n",
            "    0    0    0    0    0    0    0    0    0    0    0    0    0]\n"
          ]
        }
      ]
    }
  ]
}