Text Mining using Natural Language Processing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PROBLEM STATEMENT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- In this project, Natural Language Processing (NLP) strategies will be used to analyze Yelp reviews data\n",
    "- Number of 'stars' indicate the business rating given by a customer, ranging from 1 to 5\n",
    "- 'Cool', 'Useful' and 'Funny' indicate the number of cool votes given by other Yelp Users. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP #1:  IMPORT THE LIBRARIES\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Pandas allows importing data of various file format like csv and also helps with Dataframe\n",
    "#NumPy package is used to perform different operations, it is a general-purpose array-processing package\n",
    "#Matplotlib.pyplot is a collection of command style functions which makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure\n",
    "#Seaborn is used to create more attractive and informative statistical graphics.\n",
    "#%matplotlib inline is basically used to show an image automatically within the browser without using show()."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP #2: IMPORT DATASET"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dataset taken from https://www.kaggle.com/yelp-dataset/yelp-dataset/version/4#yelp_review.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import the csv file of dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDB = pd.read_csv(\"yelp_review.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#.info() shows the data types of the data columns in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5261668 entries, 0 to 5261667\n",
      "Data columns (total 9 columns):\n",
      "review_id      object\n",
      "user_id        object\n",
      "business_id    object\n",
      "stars          int64\n",
      "date           object\n",
      "text           object\n",
      "useful         int64\n",
      "funny          int64\n",
      "cool           int64\n",
      "dtypes: int64(4), object(5)\n",
      "memory usage: 361.3+ MB\n"
     ]
    }
   ],
   "source": [
    "yelpDB.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#since our dataset is massive, we take .001 fraction of it for better processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDB= yelpDB.sample(frac=.001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5262 entries, 5098368 to 882008\n",
      "Data columns (total 9 columns):\n",
      "review_id      5262 non-null object\n",
      "user_id        5262 non-null object\n",
      "business_id    5262 non-null object\n",
      "stars          5262 non-null int64\n",
      "date           5262 non-null object\n",
      "text           5262 non-null object\n",
      "useful         5262 non-null int64\n",
      "funny          5262 non-null int64\n",
      "cool           5262 non-null int64\n",
      "dtypes: int64(4), object(5)\n",
      "memory usage: 411.1+ KB\n"
     ]
    }
   ],
   "source": [
    "yelpDB.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#head() shows the first five rows of the yelp dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "                      review_id                 user_id  \\\n",
       "5098368  4koG5Ed-lYi8L2LvLz9LZg  XYZw8rWQ0wjMWQChRCU8Hg   \n",
       "1505288  8N1m8it4lUnFcTG_8bI-5w  3I-DgYtwVzAkXTFlp4X6rg   \n",
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       "1931801  k6ULt7d5o1um2tHyoyKhiA  cMEtAiW60I5wE_vLfTxoJQ   \n",
       "\n",
       "                    business_id  stars        date  \\\n",
       "5098368  KYasaF1nov1bn7phfSgWeg      5  2016-02-17   \n",
       "1505288  qdtfcYMROGZVvYcE9F23yg      3  2010-09-26   \n",
       "2545798  GvgkfoTqL3Xra3eLkUAw5g      5  2015-07-13   \n",
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       "1931801  0oyuTuYwr6-nbz7F7CuuTQ      5  2016-12-24   \n",
       "\n",
       "                                                      text  useful  funny  \\\n",
       "5098368  This spot is a place I crave so much I will dr...       0      0   \n",
       "1505288  What?! Outta red beef tamales? Bogus.\\n\\nMy fi...       0      0   \n",
       "2545798  Dr. Scholes and his team are amazing! So glad ...       2      0   \n",
       "3074053  this place is great!!!! Great I tell you. Came...       0      0   \n",
       "1931801  We stopped in this week for dinner and had a g...       3      2   \n",
       "\n",
       "         cool  \n",
       "5098368     0  \n",
       "1505288     0  \n",
       "2545798     0  \n",
       "3074053     0  \n",
       "1931801     3  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "#shape is used to define the (rows, columns) of yelp dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5262, 9)"
      ]
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     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "#describe() will give detailed information regarding the dataset's count,mean,std..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "      <td>5262.000000</td>\n",
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       "      <td>5262.000000</td>\n",
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       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>3.732421</td>\n",
       "      <td>1.352338</td>\n",
       "      <td>0.511783</td>\n",
       "      <td>0.561384</td>\n",
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       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>1.444878</td>\n",
       "      <td>3.249633</td>\n",
       "      <td>2.253080</td>\n",
       "      <td>2.151445</td>\n",
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       "      <td>min</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>25%</td>\n",
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       "      <td>50%</td>\n",
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       "      <td>75%</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>max</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>75.000000</td>\n",
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      ],
      "text/plain": [
       "             stars       useful        funny         cool\n",
       "count  5262.000000  5262.000000  5262.000000  5262.000000\n",
       "mean      3.732421     1.352338     0.511783     0.561384\n",
       "std       1.444878     3.249633     2.253080     2.151445\n",
       "min       1.000000     0.000000     0.000000     0.000000\n",
       "25%       3.000000     0.000000     0.000000     0.000000\n",
       "50%       4.000000     0.000000     0.000000     0.000000\n",
       "75%       5.000000     2.000000     0.000000     1.000000\n",
       "max       5.000000    83.000000    70.000000    75.000000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop the columns of 'review_id','user_id','business_id' as we are not getting any useful information from it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDB.drop(['review_id','user_id','business_id'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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       "      <th>stars</th>\n",
       "      <th>date</th>\n",
       "      <th>text</th>\n",
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       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
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      "text/plain": [
       "         stars        date                                               text  \\\n",
       "5098368      5  2016-02-17  This spot is a place I crave so much I will dr...   \n",
       "1505288      3  2010-09-26  What?! Outta red beef tamales? Bogus.\\n\\nMy fi...   \n",
       "2545798      5  2015-07-13  Dr. Scholes and his team are amazing! So glad ...   \n",
       "3074053      5  2015-07-04  this place is great!!!! Great I tell you. Came...   \n",
       "1931801      5  2016-12-24  We stopped in this week for dinner and had a g...   \n",
       "\n",
       "         useful  funny  cool  \n",
       "5098368       0      0     0  \n",
       "1505288       0      0     0  \n",
       "2545798       2      0     0  \n",
       "3074053       0      0     0  \n",
       "1931801       3      2     3  "
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     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "yelpDB.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP #3: VISUALIZE DATASET"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's get the length of the messages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "      <td>5098368</td>\n",
       "      <td>5</td>\n",
       "      <td>2016-02-17</td>\n",
       "      <td>This spot is a place I crave so much I will dr...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1505288</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-09-26</td>\n",
       "      <td>What?! Outta red beef tamales? Bogus.\\n\\nMy fi...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2545798</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-13</td>\n",
       "      <td>Dr. Scholes and his team are amazing! So glad ...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3074053</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-04</td>\n",
       "      <td>this place is great!!!! Great I tell you. Came...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1931801</td>\n",
       "      <td>5</td>\n",
       "      <td>2016-12-24</td>\n",
       "      <td>We stopped in this week for dinner and had a g...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         stars        date                                               text  \\\n",
       "5098368      5  2016-02-17  This spot is a place I crave so much I will dr...   \n",
       "1505288      3  2010-09-26  What?! Outta red beef tamales? Bogus.\\n\\nMy fi...   \n",
       "2545798      5  2015-07-13  Dr. Scholes and his team are amazing! So glad ...   \n",
       "3074053      5  2015-07-04  this place is great!!!! Great I tell you. Came...   \n",
       "1931801      5  2016-12-24  We stopped in this week for dinner and had a g...   \n",
       "\n",
       "         useful  funny  cool  length  \n",
       "5098368       0      0     0    1186  \n",
       "1505288       0      0     0     922  \n",
       "2545798       2      0     0     316  \n",
       "3074053       0      0     0     490  \n",
       "1931801       3      2     3     556  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB['length'] = yelpDB['text'].apply(len)\n",
    "yelpDB.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "#plotting a histogram for length obtained "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x238d0ce4648>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "yelpDB['length'].hist(bins=70)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "#using describe for the length column in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    5262.000000\n",
       "mean      610.433485\n",
       "std       585.242673\n",
       "min        26.000000\n",
       "25%       242.000000\n",
       "50%       424.000000\n",
       "75%       765.000000\n",
       "max      4998.000000\n",
       "Name: length, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB.length.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let us see the longest message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hey Boo Boo, let\\'s go get us a pic-a-nic basket\" - Yogi Bear\\n\\nMost people come to Las Vegas for a quick getaway, but where do LV-locals go for a short escape? We love dining at Mount Charleston Lodge, located at the summit of Kyle Canyon: It\\'s about a 40 minute scenic cruise on our motorcycle from our home in Summerlin, through the desert and up the mountain, reaching high altitude and a whopping 7,717 foot elevation.\\n\\nThe first time I stepped foot into the lodge, it stole my heart! It\\'s a log cabin with all the woodsy styling you would expect: quaint décor, rustic floor to ceiling windows framing the view of the mountains, large 360 degree fire place in the middle of the lodge, and you\\'re surrounded by uninterrupted views of Mount Charleston; ponderosa, juniper and aspen pines as far as the eye can see. There are a few vendors that set up tables in front of the lodge selling handmade jewelry and unique crafts such as pottery, bird feeders and boxes decorated and etched with fire. They also have a tiny gift shop in the back called the Holiday Shoppe, selling ornaments, trinkets, dolls, novelty, collector items and some Mt. Charleston Lodge-branded souvenirs. The lodge is fully experienced in accommodating beautiful and rustic weddings as well; my eyes sparkle at the sight and thought of it. The views here are charming!\\n\\nSitting on the outdoor patio is a must for me! Why not take advantage of the crisp air and soak in beautiful Mother Nature? They also have covered seating on the patio on sunny\\\\/hot days. There\\'s typically a wait, but for me it\\'s worth it. The brisk fresh air is exhilarating and the view is relaxing. They also have a dog friendly deck with a special menu for your pup! On Sunday\\'s we enjoy the live music and they also have the cutest clown balloon artist for children (and for the young at heart!)\\n\\nIt gets busy during prime breakfast, lunch and dinner hours; however, most people don\\'t mind waiting with a view. All of the host\\\\/hostess and servers that we\\'ve interacted with while dining here are always super friendly and accommodating. We haven\\'t received bad service yet. Comfort cabin food is their specialty. We\\'ve had the pleasure of trying all 3 menus and always find something that we like.\\n\\n- BREAKFAST: Served until 11:30am on weekdays and until 11am on weekends. I recommend the pancakes or biscuits & sausage gravy. The pancakes are massive, crisp on the outside and fluffy on the inside- you also have a choice of protein (bacon or sausage.) The biscuit with sausage gravy is rich and flavorful; I just wish the portion size on this dish was bigger, since it\\'s so delicious! The biscuit and gravy also comes with 2 eggs and country potatoes. All of this and drink totals $22 - not bad for breakfast for 2 with a gorgeous view! \\n\\n- LUNCH: The fish and chips were average - The beer battered haddock was served in nice big pieces and the batter was light and airy, but the seasoned fries were lackluster and soggy. However, I really enjoy their signature chili! I also appreciate that I can order it without beans. It\\'s loaded up with huge chunks of ground beef and has the right amount of spices and deep flavor. Chili nachos are an obvious lunch option if you can\\'t decide. \\n\\n- DINNER: I enjoy the baby back ribs with sweet potato fries, the lodge\\'s signature chili nachos, and also snacking on the spicy fried green beans. The ribs have a nice sweet and tangy BBQ sauce and the sweet potato fries are abundant, piping hot and fresh. The nachos are hooked up with a generous amount of their signature, beefy chili. You can even get your chili without beans if you wish. The half size portion is only $8 and a generous amount of food! We\\'re always stuffed midway and barely make a dent in it; such a fantastic value! The spicy fried green beans are lightly breaded in a special spice blend and then fried up crispy and golden brown - we can\\'t stop eating them.\\n\\nThe overall pricing is fair for the portion size they offer and the ambiance. We always share an appetizer and entrée and always leave stuffed with leftovers. They also have a fully stocked bar, alongside some treats such as coffee, coffee liquor, hot chocolate and spiked hot chocolate - all to keep you warm. I\\'ve tried the \"Warm Apple Pie\" spiked warm apple cider with Tuaca vanilla orange liquor, topped with whipped cream and cinnamon and I love it! It\\'s such a cozy drink to warm you up and get you in the holiday spirit! It gets chilly up here and the weather is typically 20-30 degrees cooler than the valley, which makes it the perfect retreat from the Vegas heat.\\n\\nBe sure to check out their special menus -they sell picnic baskets for your local hikes around the mountain. I\\'m sure Yogi Bear is pleased! The lodge even specializes in seasonal holiday menus for Oktoberfest, Thanksgiving, Christmas, and New Year\\'s Eve. Dining at the lodge is our weekend ritual! We\\'re looking forward to dining here in the winter, when it\\'s snowing and enjoying the mountain scenery!'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB['text'][yelpDB['length'] == yelpDB['length'].max()].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let us see the shortest message "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Nothing impressive at all.'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB['text'][yelpDB['length'] == yelpDB['length'].min()].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let us see the length of most useful category message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "83"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB['useful'][yelpDB['useful'] == yelpDB['useful'].max()].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let us see the most useful category message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Don\\'t join this service. And if you decide to use their \"One on One\" training, think again. It ruined my financially. The contract is extremely one sided and literally destroyed me financially. Mike Ferry is the devil and doesn\\'t really care about his clients. He would stab them all if he knew he could gain 1 penny from them. \\n\\nIt\\'s a lie and a hoax. Don\\'t drink the punch. You will end up losing. \\n\\nThat is why he makes you sign a 1year agreement. He just wants your money and doesn\\'t care about your success.'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB['text'][yelpDB['useful'] == yelpDB['useful'].max()].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let us see the length of most funny category message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "70"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB['funny'][yelpDB['funny'] == yelpDB['funny'].max()].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let us see the most funny category message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'This dentist is great! He not only found a mistake that another dentist made on a crown that was done wrong he helped advise me on what to do. I will definitely be back to see him. The whole office was very nice right down to the front desk staff.'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB['text'][yelpDB['funny'] == yelpDB['funny'].max()].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let us see the length of most cool category message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "75"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB['cool'][yelpDB['cool'] == yelpDB['cool'].max()].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let us see the length most cool category message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hey Boo Boo, let\\'s go get us a pic-a-nic basket\" - Yogi Bear\\n\\nMost people come to Las Vegas for a quick getaway, but where do LV-locals go for a short escape? We love dining at Mount Charleston Lodge, located at the summit of Kyle Canyon: It\\'s about a 40 minute scenic cruise on our motorcycle from our home in Summerlin, through the desert and up the mountain, reaching high altitude and a whopping 7,717 foot elevation.\\n\\nThe first time I stepped foot into the lodge, it stole my heart! It\\'s a log cabin with all the woodsy styling you would expect: quaint décor, rustic floor to ceiling windows framing the view of the mountains, large 360 degree fire place in the middle of the lodge, and you\\'re surrounded by uninterrupted views of Mount Charleston; ponderosa, juniper and aspen pines as far as the eye can see. There are a few vendors that set up tables in front of the lodge selling handmade jewelry and unique crafts such as pottery, bird feeders and boxes decorated and etched with fire. They also have a tiny gift shop in the back called the Holiday Shoppe, selling ornaments, trinkets, dolls, novelty, collector items and some Mt. Charleston Lodge-branded souvenirs. The lodge is fully experienced in accommodating beautiful and rustic weddings as well; my eyes sparkle at the sight and thought of it. The views here are charming!\\n\\nSitting on the outdoor patio is a must for me! Why not take advantage of the crisp air and soak in beautiful Mother Nature? They also have covered seating on the patio on sunny\\\\/hot days. There\\'s typically a wait, but for me it\\'s worth it. The brisk fresh air is exhilarating and the view is relaxing. They also have a dog friendly deck with a special menu for your pup! On Sunday\\'s we enjoy the live music and they also have the cutest clown balloon artist for children (and for the young at heart!)\\n\\nIt gets busy during prime breakfast, lunch and dinner hours; however, most people don\\'t mind waiting with a view. All of the host\\\\/hostess and servers that we\\'ve interacted with while dining here are always super friendly and accommodating. We haven\\'t received bad service yet. Comfort cabin food is their specialty. We\\'ve had the pleasure of trying all 3 menus and always find something that we like.\\n\\n- BREAKFAST: Served until 11:30am on weekdays and until 11am on weekends. I recommend the pancakes or biscuits & sausage gravy. The pancakes are massive, crisp on the outside and fluffy on the inside- you also have a choice of protein (bacon or sausage.) The biscuit with sausage gravy is rich and flavorful; I just wish the portion size on this dish was bigger, since it\\'s so delicious! The biscuit and gravy also comes with 2 eggs and country potatoes. All of this and drink totals $22 - not bad for breakfast for 2 with a gorgeous view! \\n\\n- LUNCH: The fish and chips were average - The beer battered haddock was served in nice big pieces and the batter was light and airy, but the seasoned fries were lackluster and soggy. However, I really enjoy their signature chili! I also appreciate that I can order it without beans. It\\'s loaded up with huge chunks of ground beef and has the right amount of spices and deep flavor. Chili nachos are an obvious lunch option if you can\\'t decide. \\n\\n- DINNER: I enjoy the baby back ribs with sweet potato fries, the lodge\\'s signature chili nachos, and also snacking on the spicy fried green beans. The ribs have a nice sweet and tangy BBQ sauce and the sweet potato fries are abundant, piping hot and fresh. The nachos are hooked up with a generous amount of their signature, beefy chili. You can even get your chili without beans if you wish. The half size portion is only $8 and a generous amount of food! We\\'re always stuffed midway and barely make a dent in it; such a fantastic value! The spicy fried green beans are lightly breaded in a special spice blend and then fried up crispy and golden brown - we can\\'t stop eating them.\\n\\nThe overall pricing is fair for the portion size they offer and the ambiance. We always share an appetizer and entrée and always leave stuffed with leftovers. They also have a fully stocked bar, alongside some treats such as coffee, coffee liquor, hot chocolate and spiked hot chocolate - all to keep you warm. I\\'ve tried the \"Warm Apple Pie\" spiked warm apple cider with Tuaca vanilla orange liquor, topped with whipped cream and cinnamon and I love it! It\\'s such a cozy drink to warm you up and get you in the holiday spirit! It gets chilly up here and the weather is typically 20-30 degrees cooler than the valley, which makes it the perfect retreat from the Vegas heat.\\n\\nBe sure to check out their special menus -they sell picnic baskets for your local hikes around the mountain. I\\'m sure Yogi Bear is pleased! The lodge even specializes in seasonal holiday menus for Oktoberfest, Thanksgiving, Christmas, and New Year\\'s Eve. Dining at the lodge is our weekend ritual! We\\'re looking forward to dining here in the winter, when it\\'s snowing and enjoying the mountain scenery!'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB['text'][yelpDB['cool'] == yelpDB['cool'].max()].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#using sns to plot a countplot for the star from 1-5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x239ade70248>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(y = 'stars', data=yelpDB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "#FacetGrid maps a dataset onto multiple axes arrayed in a grid of rows and columns that correspond to levels of variables in the dataset\n",
    "#Here we plot FacetGrid for the different ratings from 1-5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x239ade60288>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(data=yelpDB, col='stars', col_wrap=5)\n",
    "g.map(plt.hist, 'length', bins = 20, color = 'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let us divide the reviews into 1 and 5 stars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDB1 = yelpDB[yelpDB['stars']==1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDB5 = yelpDB[yelpDB['stars']==5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stars</th>\n",
       "      <th>date</th>\n",
       "      <th>text</th>\n",
       "      <th>useful</th>\n",
       "      <th>funny</th>\n",
       "      <th>cool</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>3786156</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-09-10</td>\n",
       "      <td>I took my wife and two kids here for breakfast...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3012706</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-07-01</td>\n",
       "      <td>Expensive. Smoothies are okay. Salad was dry w...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3972665</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-12-30</td>\n",
       "      <td>First American Home Warranty sent out L&amp;S to f...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4812506</td>\n",
       "      <td>1</td>\n",
       "      <td>2015-09-05</td>\n",
       "      <td>This place is utterly disturbing. The fact tha...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4650442</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-11-20</td>\n",
       "      <td>11\\/20\\/16 @3:17am - just went through the dri...</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>614</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         stars        date                                               text  \\\n",
       "3786156      1  2016-09-10  I took my wife and two kids here for breakfast...   \n",
       "3012706      1  2014-07-01  Expensive. Smoothies are okay. Salad was dry w...   \n",
       "3972665      1  2016-12-30  First American Home Warranty sent out L&S to f...   \n",
       "4812506      1  2015-09-05  This place is utterly disturbing. The fact tha...   \n",
       "4650442      1  2016-11-20  11\\/20\\/16 @3:17am - just went through the dri...   \n",
       "\n",
       "         useful  funny  cool  length  \n",
       "3786156       2      0     0    2493  \n",
       "3012706       1      0     1     219  \n",
       "3972665       4      0     0    2682  \n",
       "4812506       1      0     0     287  \n",
       "4650442       3      1     0     614  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stars</th>\n",
       "      <th>date</th>\n",
       "      <th>text</th>\n",
       "      <th>useful</th>\n",
       "      <th>funny</th>\n",
       "      <th>cool</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>5098368</td>\n",
       "      <td>5</td>\n",
       "      <td>2016-02-17</td>\n",
       "      <td>This spot is a place I crave so much I will dr...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2545798</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-13</td>\n",
       "      <td>Dr. Scholes and his team are amazing! So glad ...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3074053</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-04</td>\n",
       "      <td>this place is great!!!! Great I tell you. Came...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1931801</td>\n",
       "      <td>5</td>\n",
       "      <td>2016-12-24</td>\n",
       "      <td>We stopped in this week for dinner and had a g...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>384175</td>\n",
       "      <td>5</td>\n",
       "      <td>2017-05-20</td>\n",
       "      <td>Brew Tea is always solid for a to-go boba drin...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>771</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         stars        date                                               text  \\\n",
       "5098368      5  2016-02-17  This spot is a place I crave so much I will dr...   \n",
       "2545798      5  2015-07-13  Dr. Scholes and his team are amazing! So glad ...   \n",
       "3074053      5  2015-07-04  this place is great!!!! Great I tell you. Came...   \n",
       "1931801      5  2016-12-24  We stopped in this week for dinner and had a g...   \n",
       "384175       5  2017-05-20  Brew Tea is always solid for a to-go boba drin...   \n",
       "\n",
       "         useful  funny  cool  length  \n",
       "5098368       0      0     0    1186  \n",
       "2545798       2      0     0     316  \n",
       "3074053       0      0     0     490  \n",
       "1931801       3      2     3     556  \n",
       "384175        1      0     0     771  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#For comparing the difference between reviews of 1- star and 5- star we concat the data of them and will perform operaions on it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDB1_5 = pd.concat([yelpDB1 , yelpDB5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stars</th>\n",
       "      <th>date</th>\n",
       "      <th>text</th>\n",
       "      <th>useful</th>\n",
       "      <th>funny</th>\n",
       "      <th>cool</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>3786156</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-09-10</td>\n",
       "      <td>I took my wife and two kids here for breakfast...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3012706</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-07-01</td>\n",
       "      <td>Expensive. Smoothies are okay. Salad was dry w...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3972665</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-12-30</td>\n",
       "      <td>First American Home Warranty sent out L&amp;S to f...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4812506</td>\n",
       "      <td>1</td>\n",
       "      <td>2015-09-05</td>\n",
       "      <td>This place is utterly disturbing. The fact tha...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4650442</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-11-20</td>\n",
       "      <td>11\\/20\\/16 @3:17am - just went through the dri...</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>614</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         stars        date                                               text  \\\n",
       "3786156      1  2016-09-10  I took my wife and two kids here for breakfast...   \n",
       "3012706      1  2014-07-01  Expensive. Smoothies are okay. Salad was dry w...   \n",
       "3972665      1  2016-12-30  First American Home Warranty sent out L&S to f...   \n",
       "4812506      1  2015-09-05  This place is utterly disturbing. The fact tha...   \n",
       "4650442      1  2016-11-20  11\\/20\\/16 @3:17am - just went through the dri...   \n",
       "\n",
       "         useful  funny  cool  length  \n",
       "3786156       2      0     0    2493  \n",
       "3012706       1      0     1     219  \n",
       "3972665       4      0     0    2682  \n",
       "4812506       1      0     0     287  \n",
       "4650442       3      1     0     614  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB1_5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#reset_index() is used to reset the indexes of the dataset due to which is comes in ascending order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDB1_5 = yelpDB1_5.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>stars</th>\n",
       "      <th>date</th>\n",
       "      <th>text</th>\n",
       "      <th>useful</th>\n",
       "      <th>funny</th>\n",
       "      <th>cool</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>3786156</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-09-10</td>\n",
       "      <td>I took my wife and two kids here for breakfast...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>3012706</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-07-01</td>\n",
       "      <td>Expensive. Smoothies are okay. Salad was dry w...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3972665</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-12-30</td>\n",
       "      <td>First American Home Warranty sent out L&amp;S to f...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4812506</td>\n",
       "      <td>1</td>\n",
       "      <td>2015-09-05</td>\n",
       "      <td>This place is utterly disturbing. The fact tha...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>4650442</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-11-20</td>\n",
       "      <td>11\\/20\\/16 @3:17am - just went through the dri...</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>614</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index  stars        date  \\\n",
       "0  3786156      1  2016-09-10   \n",
       "1  3012706      1  2014-07-01   \n",
       "2  3972665      1  2016-12-30   \n",
       "3  4812506      1  2015-09-05   \n",
       "4  4650442      1  2016-11-20   \n",
       "\n",
       "                                                text  useful  funny  cool  \\\n",
       "0  I took my wife and two kids here for breakfast...       2      0     0   \n",
       "1  Expensive. Smoothies are okay. Salad was dry w...       1      0     1   \n",
       "2  First American Home Warranty sent out L&S to f...       4      0     0   \n",
       "3  This place is utterly disturbing. The fact tha...       1      0     0   \n",
       "4  11\\/20\\/16 @3:17am - just went through the dri...       3      1     0   \n",
       "\n",
       "   length  \n",
       "0    2493  \n",
       "1     219  \n",
       "2    2682  \n",
       "3     287  \n",
       "4     614  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDB1_5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 3048 entries, 3786156 to 882008\n",
      "Data columns (total 7 columns):\n",
      "stars     3048 non-null int64\n",
      "date      3048 non-null object\n",
      "text      3048 non-null object\n",
      "useful    3048 non-null int64\n",
      "funny     3048 non-null int64\n",
      "cool      3048 non-null int64\n",
      "length    3048 non-null int64\n",
      "dtypes: int64(5), object(2)\n",
      "memory usage: 190.5+ KB\n"
     ]
    }
   ],
   "source": [
    "yelpDB1_5.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDB1_5.drop(['index'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1-Stars percentage = 24.639107611548557 %\n"
     ]
    }
   ],
   "source": [
    "print( '1-Stars percentage =', (len(yelpDB1) / len(yelpDB1_5) )*100,\"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5-Stars percentage = 75.36089238845143 %\n"
     ]
    }
   ],
   "source": [
    "print( '5-Stars percentage =', (len(yelpDB5) / len(yelpDB1_5) )*100,\"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#countplot to show the difference between 1 and 5 star reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2399b9ab648>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(yelpDB1_5['stars'], label = \"Count\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDBreset1 = yelpDB1_5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP #4: CREATE TESTING AND TRAINING DATASET/DATA CLEANING"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 4.1 EXERCISE: REMOVE PUNCTUATION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#printing the punctuations from string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import string\n",
    "string.punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating a test variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, I am Japjeet Singh + I am Ritu Kalsy ^_^\n"
     ]
    }
   ],
   "source": [
    "Test = \"Hello, I am Japjeet Singh + I am Ritu Kalsy ^_^\" \n",
    "print(Test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#for every word in the test variable's string, remove the punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['H',\n",
       " 'e',\n",
       " 'l',\n",
       " 'l',\n",
       " 'o',\n",
       " ' ',\n",
       " 'I',\n",
       " ' ',\n",
       " 'a',\n",
       " 'm',\n",
       " ' ',\n",
       " 'J',\n",
       " 'a',\n",
       " 'p',\n",
       " 'j',\n",
       " 'e',\n",
       " 'e',\n",
       " 't',\n",
       " ' ',\n",
       " 'S',\n",
       " 'i',\n",
       " 'n',\n",
       " 'g',\n",
       " 'h',\n",
       " ' ',\n",
       " ' ',\n",
       " 'I',\n",
       " ' ',\n",
       " 'a',\n",
       " 'm',\n",
       " ' ',\n",
       " 'R',\n",
       " 'i',\n",
       " 't',\n",
       " 'u',\n",
       " ' ',\n",
       " 'K',\n",
       " 'a',\n",
       " 'l',\n",
       " 's',\n",
       " 'y',\n",
       " ' ']"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Test_punc_removed = [char for char in Test if char not in string.punctuation]\n",
    "Test_punc_removed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Join the characters again to form the string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello I am Japjeet Singh  I am Ritu Kalsy \n"
     ]
    }
   ],
   "source": [
    "Test_punc_removed_join = ''.join(Test_punc_removed)\n",
    "print(Test_punc_removed_join)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#use .lower() to convert them to lower cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello i am japjeet singh  i am ritu kalsy \n"
     ]
    }
   ],
   "source": [
    "Test_punc_removed_join_lower = Test_punc_removed_join.lower()\n",
    "print(Test_punc_removed_join_lower)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 4.2 EXERCISE: REMOVE STOPWORDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#The Natural Language Toolkit (NLTK) is a platform used for processing libraries for tokenization, parsing, classification and others\n",
    "#The nltk.corpus package automatically creates a set of corpus reader instances that can be used to access the corpora in the NLTK data package.\n",
    "#Download stopwords Package to execute this command"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['i',\n",
       " 'me',\n",
       " 'my',\n",
       " 'myself',\n",
       " 'we',\n",
       " 'our',\n",
       " 'ours',\n",
       " 'ourselves',\n",
       " 'you',\n",
       " \"you're\",\n",
       " \"you've\",\n",
       " \"you'll\",\n",
       " \"you'd\",\n",
       " 'your',\n",
       " 'yours',\n",
       " 'yourself',\n",
       " 'yourselves',\n",
       " 'he',\n",
       " 'him',\n",
       " 'his',\n",
       " 'himself',\n",
       " 'she',\n",
       " \"she's\",\n",
       " 'her',\n",
       " 'hers',\n",
       " 'herself',\n",
       " 'it',\n",
       " \"it's\",\n",
       " 'its',\n",
       " 'itself',\n",
       " 'they',\n",
       " 'them',\n",
       " 'their',\n",
       " 'theirs',\n",
       " 'themselves',\n",
       " 'what',\n",
       " 'which',\n",
       " 'who',\n",
       " 'whom',\n",
       " 'this',\n",
       " 'that',\n",
       " \"that'll\",\n",
       " 'these',\n",
       " 'those',\n",
       " 'am',\n",
       " 'is',\n",
       " 'are',\n",
       " 'was',\n",
       " 'were',\n",
       " 'be',\n",
       " 'been',\n",
       " 'being',\n",
       " 'have',\n",
       " 'has',\n",
       " 'had',\n",
       " 'having',\n",
       " 'do',\n",
       " 'does',\n",
       " 'did',\n",
       " 'doing',\n",
       " 'a',\n",
       " 'an',\n",
       " 'the',\n",
       " 'and',\n",
       " 'but',\n",
       " 'if',\n",
       " 'or',\n",
       " 'because',\n",
       " 'as',\n",
       " 'until',\n",
       " 'while',\n",
       " 'of',\n",
       " 'at',\n",
       " 'by',\n",
       " 'for',\n",
       " 'with',\n",
       " 'about',\n",
       " 'against',\n",
       " 'between',\n",
       " 'into',\n",
       " 'through',\n",
       " 'during',\n",
       " 'before',\n",
       " 'after',\n",
       " 'above',\n",
       " 'below',\n",
       " 'to',\n",
       " 'from',\n",
       " 'up',\n",
       " 'down',\n",
       " 'in',\n",
       " 'out',\n",
       " 'on',\n",
       " 'off',\n",
       " 'over',\n",
       " 'under',\n",
       " 'again',\n",
       " 'further',\n",
       " 'then',\n",
       " 'once',\n",
       " 'here',\n",
       " 'there',\n",
       " 'when',\n",
       " 'where',\n",
       " 'why',\n",
       " 'how',\n",
       " 'all',\n",
       " 'any',\n",
       " 'both',\n",
       " 'each',\n",
       " 'few',\n",
       " 'more',\n",
       " 'most',\n",
       " 'other',\n",
       " 'some',\n",
       " 'such',\n",
       " 'no',\n",
       " 'nor',\n",
       " 'not',\n",
       " 'only',\n",
       " 'own',\n",
       " 'same',\n",
       " 'so',\n",
       " 'than',\n",
       " 'too',\n",
       " 'very',\n",
       " 's',\n",
       " 't',\n",
       " 'can',\n",
       " 'will',\n",
       " 'just',\n",
       " 'don',\n",
       " \"don't\",\n",
       " 'should',\n",
       " \"should've\",\n",
       " 'now',\n",
       " 'd',\n",
       " 'll',\n",
       " 'm',\n",
       " 'o',\n",
       " 're',\n",
       " 've',\n",
       " 'y',\n",
       " 'ain',\n",
       " 'aren',\n",
       " \"aren't\",\n",
       " 'couldn',\n",
       " \"couldn't\",\n",
       " 'didn',\n",
       " \"didn't\",\n",
       " 'doesn',\n",
       " \"doesn't\",\n",
       " 'hadn',\n",
       " \"hadn't\",\n",
       " 'hasn',\n",
       " \"hasn't\",\n",
       " 'haven',\n",
       " \"haven't\",\n",
       " 'isn',\n",
       " \"isn't\",\n",
       " 'ma',\n",
       " 'mightn',\n",
       " \"mightn't\",\n",
       " 'mustn',\n",
       " \"mustn't\",\n",
       " 'needn',\n",
       " \"needn't\",\n",
       " 'shan',\n",
       " \"shan't\",\n",
       " 'shouldn',\n",
       " \"shouldn't\",\n",
       " 'wasn',\n",
       " \"wasn't\",\n",
       " 'weren',\n",
       " \"weren't\",\n",
       " 'won',\n",
       " \"won't\",\n",
       " 'wouldn',\n",
       " \"wouldn't\"]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk.corpus import stopwords\n",
    "stopwords.words('english')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello i am japjeet singh  i am ritu kalsy \n"
     ]
    }
   ],
   "source": [
    "print(Test_punc_removed_join_lower)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#remove the stopwords for all the words present in the results we found earlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "Test_punc_removed_join_clean = [word for word in Test_punc_removed_join_lower.split() if word not in stopwords.words('english')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Only important (no so common) words are left"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['hello', 'japjeet', 'singh', 'ritu', 'kalsy']"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Test_punc_removed_join_clean "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 4.3 EXERCISE: COUNT VECTORIZER EXAMPLE "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sklearn.feature_extraction module can be used to extract features from datasets consisting of formats such as text and image.\n",
    "#CountVectorizer is used to convert a collection of text documents to a matrix of token counts\n",
    "#fit_transform() is used for the initial fitting of parameters, but it also returns a transformed dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "trialdata = ['this is japjeet singh','that is ritu kalsy','japjeet loves food','ritu loves painting',\n",
    "             'that painting is a food painting?']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "vectorizer = CountVectorizer()\n",
    "td = vectorizer.fit_transform(trialdata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#get_feature_names() is used for array mapping from feature integer indices to feature name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['food', 'is', 'japjeet', 'kalsy', 'loves', 'painting', 'ritu', 'singh', 'that', 'this']\n",
      "[[0 1 1 0 0 0 0 1 0 1]\n",
      " [0 1 0 1 0 0 1 0 1 0]\n",
      " [1 0 1 0 1 0 0 0 0 0]\n",
      " [0 0 0 0 1 1 1 0 0 0]\n",
      " [1 1 0 0 0 2 0 0 1 0]]\n"
     ]
    }
   ],
   "source": [
    "print(vectorizer.get_feature_names())\n",
    "print(td.toarray())  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LET'S APPLY THE PREVIOUS THREE PROCESSES TO OUR YELP REVIEWS EXAMPLE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's define a pipeline to clean up all the messages \n",
    "### The pipeline performs the following: \n",
    " - Remove punctuation\n",
    " - Remove stopwords\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cleaning_process(message):\n",
    "    Test_punc_removed = [char for char in message if char not in string.punctuation]\n",
    "    Test_punc_removed_join = ''.join(Test_punc_removed)\n",
    "    Test_punc_removed_join_clean = [word for word in Test_punc_removed_join.split() if word.lower() not in stopwords.words('english')]\n",
    "    return Test_punc_removed_join_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's test the newly added function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "yelpDBcleantry1 = yelpDBreset1['text'].apply(cleaning_process)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    [took, wife, two, kids, breakfast, Saturday, m...\n",
       "1    [Expensive, Smoothies, okay, Salad, dry, ingre...\n",
       "2    [First, American, Home, Warranty, sent, LS, fi...\n",
       "3    [place, utterly, disturbing, fact, paid, almos...\n",
       "4    [112016, 317am, went, drive, thru, 3rd, car, l...\n",
       "Name: text, dtype: object"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDBcleantry1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#result after performing pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Expensive', 'Smoothies', 'okay', 'Salad', 'dry', 'ingredients', 'dressing', 'mostly', 'eating', 'dry', 'leaves', 'asked', 'dressing', 'tried', 'charge', 'extra', 'Ridiculous', 'moneygrabbing', 'company']\n"
     ]
    }
   ],
   "source": [
    "print(yelpDBcleantry1[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#show the original version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Expensive. Smoothies are okay. Salad was dry with very few ingredients. No dressing at all, so I was mostly eating dry leaves. When I asked for dressing they tried to charge me extra. Ridiculous, money-grabbing company.'"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelpDBreset1['text'].iloc[1] "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LET'S APPLY COUNT VECTORIZER TO OUR YELP REVIEWS EXAMPLE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the cleaning pipeline we defined earlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "\n",
    "vectorizer = CountVectorizer(analyzer = cleaning_process)\n",
    "yelp_countvectorizer = vectorizer.fit_transform(yelpDB1_5['text'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['0', '01', '042817', '0531', '0631', '0701', '072006', '072816', '08', '09', '0stars', '1', '10', '100', '1000', '10000', '100ig', '100pm', '100th', '101', '1010', '1015', '1015am', '102', '102411', '103012', '1030am', '1030pm', '1035', '1040', '105', '1050', '1079', '10895', '109', '1095', '10PM', '10X', '10am', '10ish', '10pm', '10th', '10xx', '11', '110', '1100', '1100am700pm', '1105', '1106', '1111000000', '1115', '112016', '1122AM', '1128', '1130', '1130am', '1130pm', '1144', '1145', '115', '11517', '115pm', '1193', '11am', '11pm', '11th', '12', '120', '1200', '120000', '12015', '1210', '1215', '1215pm', '1218', '1230', '12301245', '123016', '1230pm', '1244mo', '1245', '1245pm', '125', '1250', '125am', '1280', '129', '1299', '12am', '12oz', '12pm', '12pm2pm', '12th', '12xweek', '12year', '13', '130', '1300', '134', '13s', '13th', '14', '1400', '14051', '145', '1473', '15', '150', '15000', '1512', '1520', '1524mo', '1550', '159', '15mins', '15minsso', '15yrs', '16', '160', '1600', '1605mo', '1630', '165', '1695', '1699', '16oz', '16th', '17', '170', '178', '17K', '18', '180', '1800', '182', '1822', '1825', '18th', '18thats', '19', '1920s', '1925', '1966', '1970s', '1987', '199', '1990s', '1995', '1998', '1999', '19oz', '19th', '1A2', '1am', '1day', '1hr', '1st', '1year', '2', '20', '200', '2000', '20000', '20051', '2006', '2007', '2008', '200pm', '200s', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2016is', '2017', '2025', '2030', '204', '205', '20X', '20and', '20mins', '20minswhich', '20s', '20units', '21', '210', '215', '215Buffalo', '21st', '22', '2210', '2242017', '227', '228', '229', '23', '230', '23050', '234', '235', '23hrs', '23rd', '24', '240', '247', '2499', '24hour', '24hr', '24hrs', '24th', '24x7', '25', '250', '25000', '2530', '25mins', '25th', '26', '2600', '2652092', '27', '275', '28', '280', '289', '29', '295', '299', '29th', '2AM', '2am', '2b', '2for1', '2hour', '2hr', '2nd', '2ndI', '2person', '2pm', '2pmthey', '2seater', '2week', '2xIPA', '2xs', '2year', '2yr', '3', '30', '300', '3000', '300night', '300pm', '3040', '3045', '305', '30m', '30min', '30off', '30th', '3172017', '317am', '319', '3199', '31st', '32', '320', '3200', '32615', '33', '330', '3306pm', '330am', '339gallon', '34', '345', '35', '350', '352', '357am', '36', '360', '360degree', '365', '3650', '366', '36th', '38', '3800', '383', '39', '3995', '3996', '3AM', '3D', '3G', '3The', '3Xweek', '3am', '3e', '3gal', '3pm', '3rd', '3ways', '3yr', '4', '40', '400', '401', '40K125K', '40k', '40min', '40mins', '40s', '41', '410', '4116', '415', '41515', '416', '420', '42016', '430', '432', '435nope', '44', '445', '445pm', '45', '450', '45hrs', '45ish', '45min', '45mins', '45minute', '46', '4619999', '47', '48', '48000', '488', '48th', '49', '499', '499jar', '4AM', '4D', '4PM', '4WD', '4ab', '4am', '4hour', '4pitcher', '4pm', '4s', '4star', '4th', '4yrs', '5', '50', '500', '5000', '500am', '502', '5050', '506', '5075', '50cents', '50ish', '50minutes', '50s', '51', '510', '51815', '51st', '525', '528i', '530', '530am', '540pm', '545PM', '545am', '55', '550', '55000', '5510', '556', '55mph', '56', '56pm', '57', '58', '59', '599', '59th', '5Church', '5K', '5Star', '5Stars', '5am', '5mins', '5pm', '5s', '5slice', '5star', '5stars', '5th', '5x', '5years', '6', '60', '600', '6000', '60000', '600PM', '602', '605', '60min', '61', '615', '62', '625', '630', '6365067', '645am', '6475019217', '65', '650', '6500', '67', '68', '69', '695', '699', '69am', '6AM', '6am', '6pm', '6s', '6th', '6x', '7', '70', '700', '7000', '702', '7022590786', '70k', '70min', '70s', '70th', '710pm', '715', '72', '724pm', '730', '730930', '730PM', '730pm', '7358', '745am', '748', '75', '75100', '752pm', '75th', '7717', '775', '78s', '78sThanks', '7991079', '7K', '7PM', '7am', '7pm', '7st', '7th', '8', '80', '800', '8000', '800am', '800pm', '80s', '810', '810am', '8282017', '83', '830', '8302017', '830pm', '8312017', '85', '850', '85013', '86', '88', '8815', '89', '89052', '8am', '8in', '8pm', '8s', '8th', '9', '90', '900', '9000', '900am', '900pm', '90K', '90s', '910', '912015', '912017', '922', '923', '92317', '925', '92er', '93', '930', '930am', '930pm', '93night', '949', '95', '9592036', '9600', '97', '97997', '98', '9817', '9833700', '99', '999', '9TH', '9am', '9pm', '9pmClose', '9th', 'A1', 'AB', 'ABC', 'ABCs', 'ABLE', 'ABSOLUTE', 'ABSOLUTELY', 'ABUSE', 'AC', 'ACL', 'ACTED', 'ACTUALLY', 'ACYE', 'ADA', 'ADDRESS', 'AF', 'AFFORDABLE', 'AFlutter', 'AG', 'AGEDASHI', 'AGM', 'AGO', 'AH', 'AHEAD', 'ALMOST', 'ALONE', 'ALSO', 'ALWAYS', 'AMAZING', 'AMAZINGLY', 'AMC', 'AMF', 'ANCHOVIES', 'ANGER', 'ANIMAL', 'ANOTHER', 'ANYONE', 'ANYTHING', 'ANYWAYS', 'ANYWAYSO', 'ANYWHERE', 'API', 'APPC', 'APPLIANCE', 'APPRECIATE', 'ARIA', 'AROUND', 'ARTHRITIS', 'ASAP', 'ASIAN', 'ASK', 'ASSUMED', 'ASU', 'ATD', 'ATL', 'ATM', 'ATT', 'ATTITUDE', 'ATV', 'AV', 'AVAILABLE', 'AVE', 'AVOID', 'AWARDwinning', 'AWAY', 'AWESOME', 'AWFUL', 'AWRE', 'AYCE', 'AZ', 'AZCentral', 'AZRapid', 'Aaron', 'Abbey', 'Abend', 'Abercrombie', 'Abraham', 'Abreise', 'Absolute', 'Absolutely', 'Abtei', 'Acadia', 'Accepted', 'Access', 'Accommodating', 'According', 'Accountants', 'Accounts', 'Ace', 'Aces', 'Acrylic', 'Action', 'Actually', 'Adalila', 'Adam', 'Adaptoid', 'Add', 'Added', 'Addiction', 'Addictionaddiction', 'Adding', 'Additionally', 'Additionallyone', 'Address', 'Adjusted', 'Admirals', 'Adobada', 'Adobo', 'AdovadaSmoked', 'Adressen', 'Adrianne', 'Ads', 'Adventuredome', 'Advice', 'Aerobics', 'Affection', 'Affogato', 'Affordable', 'Afif', 'Aframes', 'AfreakinMazing', 'Afternoon', 'Afterwards', 'Againthey', 'Agency', 'Agent', 'Agnolotti', 'Ah', 'AhhhI', 'Ahi', 'AhiPoke', 'Ahren', 'Ahwatukee', 'Aid', 'Aida', 'Aiellos', 'Aileen', 'Aioli', 'Air', 'Airbnb', 'Airlines', 'Airport', 'Airways', 'Aisle', 'Akor', 'Alamo', 'Alaska', 'Albertsons', 'Ale', 'Alecia', 'Alep', 'Ales', 'Alex', 'Alexis', 'Alfalfa', 'Alfredo', 'Ali', 'Aliante', 'Alice', 'Alicia', 'Alisia', 'Allen', 'Alles', 'Allied', 'Allinall', 'Allison', 'Allright', 'Alma', 'Almond', 'Almost', 'Along', 'Alonso', 'Aloo', 'Alors', 'Alright', 'Also', 'Alternate', 'Although', 'Alvadora', 'Always', 'Amaizing', 'Amanda', 'Amaretto', 'Amateur', 'Amazing', 'Amazingly', 'Amazon', 'Amber', 'Ambiance', 'Ambiente', 'AmenZone', 'Amendment', 'America', 'American', 'Americanized', 'Americano', 'Americans', 'Amir', 'Amoeba', 'Among', 'Amphitheater', 'Amy', 'Ana', 'Anbindung', 'Anchovies', 'Andiamo', 'Andre', 'Andrea', 'Andrew', 'Andrews', 'Andthe', 'Angela', 'Angeles', 'Angelos', 'Angry', 'Angus', 'Animal', 'Anita', 'Anna', 'Annboth', 'Anne', 'Annie', 'Anniversary', 'Annoyed', 'Annoying', 'Annysia', 'Another', 'Answer', 'Anteater', 'Anthem', 'Anthony', 'Anticuchos', 'Antipasto', 'Anton', 'Anya', 'Anyhoo', 'Anyone', 'Anything', 'Anytime', 'Anyway', 'Anyways', 'Anywho', 'Aok', 'Apache', 'Aperitif', 'Apparently', 'Appeal', 'Appetizer', 'Appetizers', 'Apple', 'Appliance', 'Appointment', 'Appreciate', 'Apprenez', 'Approval', 'Approved', 'Apps', 'Appt', 'Appétit', 'Apricot', 'April', 'Arabic', 'Arbor', 'Arby', 'Arbys', 'Arcade', 'Arcadia', 'Architect', 'Area', 'Areas', 'Arent', 'Arepas', 'Arguably', 'Argued', 'Ari', 'Aria', 'Ariayou', 'Ariel', 'Arizona', 'Arlene', 'Armen', 'Arnold', 'Array', 'Arsenal', 'Arsenio', 'Art', 'Artem', 'Artichoke', 'Artist', 'Arts', 'Artsy', 'Asada', 'Asado', 'Asain', 'Asheville', 'Ashley', 'Ashly', 'Asia', 'Asiago', 'Asian', 'Asianinfluenced', 'Asians', 'Aside', 'Ask', 'Asked', 'Asparagus', 'Aspen', 'Ass', 'Assembly', 'Assisting', 'Associates', 'Ate', 'Atlanta', 'Atlantic', 'Atmosphere', 'Atmosphäre', 'Atoyac', 'Attack', 'Attention', 'Attitude', 'Attitudes', 'Attorney', 'Attractions', 'Au', 'Aubrey', 'Auch', 'Aucune', 'Audi', 'Audio', 'Audis', 'Auf', 'August', 'Aunt', 'Aunties', 'Ausdünstungen', 'Ausenbereich', 'Ausstattung', 'Austen', 'Austin', 'Australian', 'Austrian', 'Auswahl', 'Authentic', 'Auto', 'Autofahrer', 'Automotive', 'Autumn', 'Avalon', 'Ave', 'Avec', 'Avenue', 'Aviation', 'Avocado', 'Avoid', 'Avondale', 'Awards', 'Awesome', 'Awesomeness', 'Awful', 'Awh', 'Awkward', 'Awwww', 'Azam', 'B', 'BACK', 'BAD', 'BAGEL', 'BAR', 'BARE', 'BARF', 'BASIL', 'BB', 'BBB', 'BBQ', 'BC', 'BC2', 'BCP', 'BEA', 'BEATS', 'BEAUTIFUL', 'BED', 'BEGIN', 'BELIEVE', 'BEST', 'BETTER', 'BEWARE', 'BIG', 'BIRTHDAY', 'BJ', 'BLT', 'BLTAE', 'BMW', 'BODI', 'BOGO', 'BOMB', 'BOMBAWESOMESTinsert', 'BONUS', 'BOTTOM', 'BOULDER', 'BOX', 'BOY', 'BPAH', 'BPAHs', 'BRAND', 'BRAVO', 'BREAKFAST', 'BRGR', 'BRILLIANT', 'BRING', 'BROWN', 'BS', 'BTW', 'BUFFET', 'BUGS', 'BULLSHIT', 'BURNING', 'BURNT', 'BUSINESS', 'BUST', 'BWW', 'BYOB', 'Baba', 'Babe', 'Bacchanal', 'Bachannal', 'Back', 'Bacon', 'Bad', 'Badly', 'Bagel', 'Bagelry', 'Bagels', 'Baguette', 'Baguettes', 'Bahama', 'Bahamas', 'Bairrada', 'Baja', 'BakeShop', 'Baker', 'Bakers', 'Bakery', 'Baklava', 'Bali', 'Ballentyne', 'Ballet', 'Ballou', 'Balls', 'Ballys', 'Baltimore', 'Bamboo', 'Banana', 'Band', 'Banh', 'Bank', 'Banking', 'Banzo', 'Baptista', 'Bar', 'BarBQ', 'Baracoa', 'Barbara', 'Barbecue', 'Barber', 'Barbie', 'Barcelona', 'Barely', 'Barkan', 'Barnett', 'Barockstiel', 'Barrel', 'Barrymore', 'Based', 'Bashas', 'Basic', 'Basically', 'Basil', 'Basket', 'Basline', 'Bass', 'Bat', 'Bathurst', 'Batman', 'Bay', 'Bayview', 'Bbq', 'Beach', 'Bean', 'Beans', 'Bear', 'Bears', 'Beat', 'Beatles', 'Beautiful', 'Beautifully', 'Beauty', 'Beaver', 'Beazer', 'Becky', 'Bed', 'Bed2', 'Bedienung', 'Bee', 'Beechview', 'Beef', 'Beer', 'Beers', 'Bees', 'Beet', 'Beim', 'Belford', 'Belgian', 'Believe', 'Bell', 'Bellagio', 'Bellevue', 'Bellhops', 'Belly', 'Belmont', 'Ben', 'Bench', 'Benedict', 'Benefit', 'Benjamin', 'Benny', 'Benocular', 'Bento', 'Benz', 'Benziger', 'Berates', 'Bereicherung', 'Berge', 'Berlin', 'Bernies', 'Bernstein', 'Berrie', 'Berries', 'Berry', 'Berthas', 'Besides', 'Besonders', 'Best', 'Besuch', 'Beth', 'Betreten', 'Better', 'Betty', 'Beverly', 'Beware', 'Beyond', 'Bianco', 'Bichon', 'Bieber', 'Bielinski', 'Bien', 'Biergarten', 'Biet', 'Big', 'Bigger', 'Biggest', 'Bighorn', 'Bigs', 'Bike', 'Bill', 'Billing', 'Billy', 'Biltmore', 'Binkleys', 'Binks', 'Birch', 'Birthday', 'Biryani', 'Biscuits', 'Bishop', 'Bison', 'Bisque', 'Bistro', 'Bières', 'Black', 'Blackened', 'Blacks', 'Blackstone', 'Blake', 'Blends', 'Blessings', 'Bleu', 'Blink', 'Bliss', 'Blockbuster', 'Blockbusters', 'Blood', 'Bloody', 'Bloomers', 'Bloor', 'Blu', 'Blue', 'Blueberries', 'Blueberry', 'Blues', 'Blut', 'Blvd', 'Bo', 'Boa', 'Board', 'Boars', 'Bob', 'Boba', 'Bobby', 'Boca', 'Boden', 'Body', 'Bohemian', 'Boi', 'Bojangles', 'Bolan', 'Bolin', 'Bolognese', 'Bomb', 'Bombay', 'Bombcom', 'Bombs', 'Bon', 'Bonacini', 'Bond', 'Boneyard', 'Bonnie', 'Bonus', 'Boo', 'Booked', 'Bookkeepers', 'Boom', 'Bootleggers', 'Border', 'Boroughs', 'Boss', 'Boston', 'Botanical', 'Botello', 'Botox', 'Bottom', 'Bottomless', 'Bouchon', 'Bought', 'Boulder', 'Boulevard', 'Bourbon', 'Bourdain', 'Boutique', 'Bowl', 'Bowling', 'Box', 'Boxing', 'Boy', 'Boyfriend', 'Brace', 'Brad', 'Bradburys', 'Braddahs', 'Braised', 'Brake', 'Brakes', 'Brampton', 'Branch', 'Brand', 'Brandon', 'Brands', 'Brault', 'Bravo', 'Brazil', 'Brazilian', 'Bread', 'Breadpudding', 'Breads', 'Breakfast', 'Breakfasts', 'Breast', 'Breath', 'Breeannda', 'Breeze', 'Brenda', 'Brenner', 'Brett', 'Breuninger', 'Brew', 'Brews', 'Brian', 'Briana', 'Brians', 'Bride', 'Brides', 'Bridge', 'Bridgeville', 'Brie', 'Brim', 'Bring', 'Brio', 'Brion', 'Brisbane', 'Brisket', 'Bristol', 'Brittany', 'Brittney', 'Broader', 'Broccoli', 'Brockhoff', 'Brodkin', 'Bronze', 'Bronzmopolitan', 'Brooke', 'Brooklyn', 'Brooks', 'Bros', 'Brother', 'Brothers', 'Brought', 'Brown', 'Brownie', 'Brownies', 'Browns', 'Bru', 'Bruce', 'Brueggers', 'Bruh', 'Brule', 'Brulee', 'Brunch', 'Brushetta', 'Brussel', 'Brussels', 'Bryant', 'Brötchen', 'Btw', 'Bubba', 'Bubble', 'Buca', 'Bucas', 'Buck', 'Buckeye', 'Buckle', 'Bud', 'Buddha', 'Budget', 'Buffalo', 'Buffet', 'Building', 'Bulb', 'Bulgolgi', 'Bull', 'Bulwark', 'Bummer', 'Bun', 'BurGR', 'Buratta', 'Bureau', 'Burger', 'Burgers', 'BurgersMushroom', 'Burner', 'Burrata', 'Burritos', 'Burro', 'Burros', 'Bus', 'Business', 'BusinessHotel', 'Businesslunch', 'Busters', 'Butter', 'Butterfish', 'Butterfly', 'Butters', 'Buy', 'Buyer', 'Buying', 'Bye', 'ByeHealth', 'Byron', 'Bystanders', 'Béarnaise', 'Béchamel', 'C', 'CA', 'CAB', 'CAD', 'CAD170', 'CAKE', 'CALL', 'CALLED', 'CALORIE', 'CANCEL', 'CANCELLED', 'CANNOT', 'CANPASS', 'CANT', 'CAR', 'CARD', 'CARE', 'CASH', 'CATCH', 'CAso', 'CB', 'CBSA', 'CC', 'CD', 'CDs', 'CEO', 'CHALLENGE221365', 'CHANGE', 'CHARGED', 'CHECK', 'CHEERS', 'CHEESESTEAK', 'CHICAGO', 'CHILLEAN', 'CHOOSE', 'CHRISTINA', 'CISCO', 'CITY', 'CLAUDIO', 'CLE', 'CLEAN', 'CLIENTS', 'CLT', 'COLD', 'COME', 'COMFY', 'COMING', 'COMMUNICATION', 'COMPANY', 'COMPASSION', 'COMPETENCE', 'COMPLETELY', 'COMPUTER', 'CONFUSED', 'CONS', 'CONTRACT', 'COOKING', 'COOL', 'CORRECT', 'COST', 'COSTS', 'COULD', 'COX', 'CPAs', 'CPOs', 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'IPad', 'ISH', 'IST', 'ISTANBUL', 'IV', 'IVE', 'IVYs', 'Ian', 'Ice', 'Iceberg', 'Icecream', 'Iced', 'Ich', 'Ichiran', 'Ick', 'Id', 'Idk', 'Ie', 'Ignorant', 'Ignore', 'Iike', 'Il', 'Ill', 'Illinois', 'Ilocano', 'Ils', 'Im', 'Image', 'Imaging', 'Immediately', 'Impasto', 'Impossible', 'Impressions', 'Impressive', 'Improvement', 'Inc', 'Incident', 'Include', 'Including', 'Incompetent', 'Incomplete', 'Incredible', 'Incredibly', 'Indecisive', 'Indeed', 'Independent', 'Indescribable', 'Indian', 'Indiana', 'Indulge', 'Industrial', 'Inexpensive', 'Informative', 'Infused', 'Ingos', 'Initially', 'Ink', 'Inkfx', 'Inn', 'Innern', 'Innisfree', 'Innkeeper', 'Inside', 'Inspection', 'Instagram', 'Installation', 'Installers', 'Instantly', 'Instead', 'Institute', 'Instructions', 'Interactive', 'Interesting', 'International', 'Internet', 'Inverness', 'Invisiline', 'Invitations', 'Invited', 'Iraq', 'Irish', 'Iron', 'Ironically', 'Isek', 'Island', 'Isnt', 'Italian', 'Italians', 'Italiener', 'Italy', 'ItalyWent', 'Itd', 'Items', 'Itll', 'Ive', 'Iver', 'Ivory', 'Ivy', 'Iwas', 'J', 'JD', 'JERSEY', 'JIM', 'JJ', 'JK', 'JOB', 'JOKE', 'JORDAN', 'JP', 'JUJU', 'JW', 'Jack', 'Jackets', 'Jackie', 'Jackson', 'Jacob', 'Jacobs', 'Jacobsen', 'Jacuzzi', 'Jade', 'Jag', 'Jai', 'Jairo', 'Jake', 'JalapenoMint', 'Jaleo', 'Jamaican', 'Jamais', 'James', 'Jamie', 'Jan', 'January', 'Japan', 'Japanese', 'Japanimation', 'Japans', 'Jared', 'Jarvis', 'Jasmine', 'Jason', 'Javier', 'Jaw', 'Jay', 'JayRua', 'Je', 'JeanPaul', 'Jeanette', 'Jecolia', 'Jeep', 'Jeff', 'Jefferson', 'Jekyll', 'Jello', 'Jelly', 'Jen', 'Jenga', 'Jeniffer', 'Jennifer', 'Jenny', 'Jenred', 'Jeremy', 'Jerk', 'Jerkin', 'Jerry', 'Jersey', 'Jesse', 'Jessica', 'Jessie', 'Jesus', 'Jetta', 'Jiffy', 'Jim', 'Jimmy', 'Jimmys', 'Jims', 'JinYa', 'Jo', 'JoAnn', 'JoLV', 'Job', 'Jodie', 'Joe', 'Joes', 'John', 'Johnny', 'Johns', 'Johnson', 'Jolla', 'Jon', 'Jonathan', 'Jones', 'Jordan', 'Jos', 'Jose', 'Joseph', 'Josh', 'Joshua', 'Josos', 'Journey', 'Joyce', 'Joynt', 'Jr', 'Jrs', 'Juanita', 'Jude', 'Judes', 'Judging', 'Judy', 'Juice', 'Juicery', 'Juicing', 'Juicy', 'Julie', 'Juliette', 'July', 'Jumper', 'Jumpers', 'Junction', 'June', 'Jungle', 'Junior', 'Junkie', 'Justamusing', 'Justesen', 'Justin', 'Juvederm', 'K', 'KA', 'KALUA', 'KB', 'KBBQ', 'KC', 'KEEP', 'KFC', 'KILLING', 'KIND', 'KLASSE', 'KM', 'KMay', 'KNEW', 'KNOW', 'KNOWS', 'KP', 'KUNEFE', 'Ka', 'Kacey', 'Kacy', 'Kaffee', 'Kaffeemaschine', 'Kaffeepause', 'Kai', 'Kailua', 'Kaitlyn', 'Kaka', 'Kalamata', 'Kalbi', 'Kale', 'Kaleidoscope', 'Kalika', 'Kanda', 'Kanishaas', 'Kansas', 'Kaow', 'Kara', 'Karaoke', 'Karen', 'Karl', 'Karlsruher', 'Karma', 'Karreuche', 'Karsens', 'Karstadt', 'Karstadts', 'Karte', 'Kashani', 'Kassmans', 'Kat', 'Kate', 'Kathy', 'Katie', 'Katsu', 'Katsuya', 'Katy', 'Katz', 'Kaze', 'Keep', 'Keeps', 'Keg', 'Keith', 'Kelley', 'Kellner', 'Kelly', 'Kelsey', 'Ken', 'Kenneth', 'Kenny', 'Kentucky', 'Keri', 'Kerzenschein', 'Ketchums', 'Ketchups', 'Ketel', 'Kette', 'Keurig', 'Keva', 'Kevin', 'Key', 'Kez', 'Khao', 'Ki', 'Kia', 'Kid', 'Kids', 'Kidtastics', 'Killed', 'Killer', 'Killesberg', 'Kiltlifter', 'Kim', 'Kimchi', 'Kind', 'Kinda', 'Kindern', 'King', 'Kirby', 'Kiss', 'Kitchen', 'Klasse', 'Klee', 'Kleine', 'Knave', 'Knees', 'Knievel', 'Knots', 'Knowing', 'Knowledgable', 'Knowledgeable', 'Kobe', 'Kodi', 'Kohls', 'Koi', 'Kolaches', 'Kompot', 'Kong', 'KoolAid', 'Kopanisti', 'Kopper', 'Korean', 'Korma', 'Kovary', 'Kraft', 'Kraken', 'Kreme', 'Kreoung', 'Kris', 'Krispie', 'Krispies', 'Krispy', 'Kristen', 'Kristi', 'Kristian', 'Kristina', 'Krystal', 'Krönung', 'Ks', 'Kudos', 'Kueche', 'Kung', 'Kurz', 'Kyle', 'Kylie', 'Küche', 'L', 'L5P', 'LA', 'LACKS', 'LADY', 'LAID', 'LAS', 'LAST', 'LAnge', 'LCD', 'LD', 'LEARN', 'LEAST', 'LED', 'LEE', 'LEEs', 'LET', 'LGO', 'LIAR', 'LIE', 'LIFE', 'LIFTING', 'LIGHTS', 'LIKE', 'LINDE', 'LINE', 'LINENS', 'LINES', 'LISA', 'LITERALLY', 'LLC', 'LOCAL', 'LOGGED', 'LOL', 'LONG', 'LOOOOVE', 'LOSE', 'LOST', 'LOT', 'LOTS', 'LOUD', 'LOUNGE', 'LOVE', 'LOVED', 'LOVELY', 'LOVERS', 'LOWER', 'LS', 'LTE', 'LUNCH', 'LV', 'LVCC', 'LVlocals', 'LYFE', 'La', 'LaCroix', 'LaVazz', 'LaZBoy', 'Labor', 'Lac', 'Lachsburger', 'Lacquer', 'Ladies', 'Lady', 'Laffah', 'Lage', 'Lagers', 'Lahore', 'Laiterie', 'Lake', 'Lakers', 'Lakewood', 'Lam', 'Lamar', 'Lamb', 'Lambiance', 'Lambo', 'Lampe', 'Lan', 'Lana', 'Land', 'Laneige', 'Language', 'Lao', 'Large', 'Largo', 'Larry', 'Las', 'LasVegasBestHotDogs', 'Lasee', 'Laser', 'Last', 'Lastly', 'Late', 'Later', 'Latevi', 'Latin', 'Latowsky', 'Latte', 'Laundry', 'Laura', 'Lauren', 'Laurie', 'Lauries', 'Laut', 'Lautre', 'Laveen', 'Lavender', 'Lavo', 'Law', 'Lawd', 'Lawrence', 'Layers', 'Le', 'Lean', 'Learn', 'Leather', 'Leave', 'Leaving', 'Lebanon', 'Leckie', 'Lederhosen', 'Lee', 'Left', 'Legit', 'Leilani', 'Leistungsverhältnis', 'Leith', 'Lemon', 'Lemonade', 'Lemongrass', 'Lendroit', 'Lenny', 'Lentil', 'Leo', 'Leppard', 'Les', 'Leslies', 'Less', 'Let', 'Letelier', 'Lets', 'Letter', 'Lexis', 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'Lupo', 'Luv', 'Luvit', 'Lux', 'Luxor', 'LuxorWhats', 'Luxury', 'Lyfe', 'Lyft', 'Lyndsey', 'Lynn', 'Lys', 'Lysolyour', 'Ländle', 'M30', 'MADE', 'MAGIC', 'MAGICAL', 'MAILED', 'MAIN', 'MAJOR', 'MAKE', 'MAKES', 'MAN', 'MANAGEMENT', 'MANY', 'MARVEL', 'MASSIVE', 'MAZING', 'MB', 'MBL', 'MC', 'MCL', 'MCT', 'MEAL', 'MEAN', 'MEAT', 'MEC', 'MELTS', 'MESS', 'METRO', 'MF', 'MGM', 'MIL', 'MILs', 'MINUTES', 'MISREPRESENTATION', 'MISTAKE', 'MJs', 'MKS', 'ML500', 'MLB', 'MM', 'MOLEY', 'MONEY', 'MOTOR', 'MOUTH', 'MOmofuku', 'MR', 'MRS', 'MSG', 'MT', 'MTB', 'MTO', 'MTT', 'MUCH', 'MULTIPLE', 'MUNZ', 'MUST', 'MUSTS', 'MVD', 'MWM', 'Mac', 'MacATak', 'MacKaye', 'MacKenzie', 'Macaroni', 'Macaroons', 'Macayan', 'Macayos', 'Machaca', 'Machines', 'Macys', 'Made', 'Madeleine', 'Madison', 'Magazines', 'Maggie', 'Magical', 'Mahi', 'Mai', 'MaidPro', 'Maiden', 'Maids', 'Main', 'Maine', 'Mainly', 'Maintenance', 'Mais', 'Major', 'Make', 'MakeUp', 'Makes', 'Makhani', 'Makita', 'Maldonados', 'Mall', 'Malt', 'Mama', 'Mamakas', 'Mamas', 'Mammoth', 'Man', 'Management', 'Manager', 'Managergeneral', 'Managers', 'Manchego', 'Manchurian', 'Mandalay', 'Mandarin', 'Mandi', 'Mandy', 'Mango', 'MangoHabanero', 'Manhattan', 'ManiPedi', 'Manicotti', 'Manko', 'Manna', 'Manny', 'Mansion', 'Mansions', 'Many', 'Maple', 'Mar', 'Marc', 'Marcel', 'March', 'Marco', 'Marcos', 'Marcy', 'Margarita', 'Margaritas', 'Maria', 'Marie', 'Marilyn', 'Marinated', 'Mario', 'Marisco', 'Marissa', 'Mark', 'Market', 'Marketing', 'Marketplace', 'MarketplaceBoring', 'Markus', 'Marlon', 'Marmalade', 'Marquee', 'Marriott', 'Marsala', 'Marshall', 'Mart', 'Martin', 'Martini', 'Marvel', 'Mary', 'Maryland', 'Marys', 'Masa', 'Masala', 'Mashed', 'Massage', 'Master', 'Masters', 'Mat', 'Matcha', 'Mate', 'Maternity', 'Matrimony', 'Matt', 'Matte', 'Matthew', 'Matthews', 'Matties', 'Matts', 'Maui', 'Mavis', 'Max', 'Maxs', 'May', 'Mayas', 'Maybe', 'Mayflower', 'Mayo', 'Mazda', 'McCartney', 'McCormick', 'McDonalds', 'McDs', 'McFarling', 'Mcguiss', 'Meadows', 'Meal', 'Meals', 'Meaning', 'Meat', 'Meatball', 'Meatballs', 'Meats', 'Mecklenburg', 'Media', 'Medical', 'Medina', 'Mediocre', 'Mediterranean', 'Mediterraneanstyle', 'Medium', 'MediumRare', 'Meehan', 'Meghan', 'Meh', 'Mei', 'Meine', 'Melissa', 'Mello', 'Melt', 'Melting', 'Membership', 'Memo', 'Memorial', 'Mens', 'Menu', 'Menudo', 'Mercatto', 'Mercedes', 'Meridian', 'Meringuesice', 'Merlin', 'Merlot', 'MerriamWebster', 'Mervyns', 'Merçi', 'Mesa', 'Met', 'Metaxa', 'Metro', 'MetroCenter', 'Metropolitan', 'Meuniere', 'Mexican', 'Mexico', 'Mi', 'Mia', 'Miami', 'Michael', 'Michelle', 'Michigan', 'Michoacan', 'Mickey', 'Micky', 'Middle', 'Midwest', 'Midwestern', 'Mie', 'Miga', 'Might', 'Mignon', 'Mikado', 'Mike', 'Mikes', 'Mila', 'Milan', 'Milaneza', 'Mile', 'Miles', 'Milk', 'Milkshake', 'Mill', 'Miller', 'Mills', 'Mimosa', 'Mimosas', 'Mina', 'Minas', 'Mind', 'Mine', 'Mineos', 'Mini', 'MiniSliders', 'Ministry', 'Minor', 'Mint', 'Minute', 'Minutes', 'Mir', 'Mirabelle', 'Mirror', 'Miso', 'Miss', 'Mission', 'Missions', 'Mississauga', 'Mistake', 'Mistakes', 'Misti', 'Mixed', 'Mixer', 'Mixerwow', 'Mmm', 'Mmmmm', 'Mob', 'Mobil', 'Mobile', 'Mocha', 'Moet', 'Moishes', 'Mojidos', 'Molcajete', 'Mole', 'Mom', 'Mommy', 'Momo', 'Moms', 'Mon', 'Monday', 'Mondays', 'Money', 'Mongo', 'Mongolian', 'Monkey', 'Monona', 'Monroe', 'Monsieur', 'Monster', 'Monstercom', 'Mont', 'MontRoyal', 'Montagu', 'Monte', 'Month', 'Monthly', 'Months', 'Montley', 'Montreal', 'Montréal', 'Mony', 'Mood', 'Moomba', 'Moon', 'Moonen', 'Moores', 'Moreover', 'Morgan', 'Mormon', 'Morrocan', 'Mortons', 'Moscow', 'Moses', 'Mostly', 'Motel', 'Mother', 'Mothers', 'Moto', 'Mount', 'Mountain', 'Mountains', 'Mouthwatering', 'Move', 'Moved', 'Moves', 'Moving', 'Moxie', 'Mozen', 'Mozzarella', 'Mr', 'Mrs', 'MsPam', 'MsShannon', 'Mt', 'Mtn', 'Muay', 'Much', 'Mufasa', 'Muffin', 'Mule', 'Multiple', 'Munich', 'Murgh', 'Muriel', 'Murray', 'Murs', 'Musetta', 'Museum', 'Mushroom', 'Mushrooms', 'Music', 'Mussels', 'Must', 'Mustang', 'Mustard', 'Mustin', 'Mystere', 'Mystic', 'Möbeln', 'N', 'NASA', 'NBA', 'NC', 'ND', 'NDG', 'NEED', 'NEEDED', 'NEEDS', 'NEIN', 'NEO', 'NEVADA', 'NEVER', 'NEW', 'NEXT', 'NEXUS', 'NIGHTMARE', 'NODA', 'NOPE', 'NOTE', 'NOTHING', 'NUMBER', 'NV', 'NW', 'NWR', 'NY', 'NYC', 'NYE', 'NYNY', 'Naan', 'Nach', 'Nachfrage', 'Nacho', 'Nachos', 'Nachspeise', 'Nail', 'Nails', 'Naja', 'Naked', 'Nalini', 'Nam', 'Namaste', 'Name', 'Nancy', 'Nasdir', 'Nashville', 'Nassir', 'Nasty', 'Natalie', 'Nathan', 'Native', 'Natural', 'Naturally', 'Nature', 'Ne', 'Nearby', 'Neat', 'Need', 'Needed', 'Needle', 'Needless', 'Needlessly', 'Needs', 'Neigbors', 'Neither', 'Nekter', 'Nellies', 'NeoPaws', 'Nerite', 'Nerven', 'Ness', 'Netflix', 'Nette', 'Network', 'Nevada', 'Never', 'Nevertheless', 'New', 'Newcastle', 'Newport', 'News', 'Next', 'Niagara', 'Nice', 'Nicely', 'Nichole', 'Nick', 'Nickleback', 'Nicole', 'Nicos', 'Night', 'Nightclub', 'Nikki', 'Niko', 'Nikos', 'Nissan', 'Nissans', 'Nixon', 'NoCal', 'Nobody', 'Nobu', 'Noe', 'Noelin', 'Noes', 'Noir', 'Noisy', 'Nom', 'Non', 'None', 'Nonetheless', 'Nonnos', 'Nonsense', 'Noodle', 'Nope', 'Nora', 'Noras', 'Nordstrom', 'Normally', 'Norman', 'North', 'Northeast', 'Northern', 'Note', 'NothWestgateKierland', 'Nothing', 'Nourish', 'Nous', 'Nov', 'November', 'Nuff', 'Nugget', 'Number', 'Nunez', 'Nutcracker', 'Nutella', 'Nutrition', 'OBGYN', 'OCCURRED', 'OCD', 'OEM', 'OH', 'OHHHHH', 'OHO', 'OJ', 'OK', 'OMAKASE', 'OMG', 'OMGosh', 'ONE', 'ONES', 'ONLINE', 'OOOOOOOOOOOOOOOOOOOOO', 'OPEN', 'OPTIONS', 'ORANGE', 'ORDER', 'ORDERED', 'OReilly', 'OS', 'OUTSTANDING', 'OVERCHARGE', 'OWNERS', 'OXOXOXOXOXOXO', 'OYSTER', 'OZ', 'Oahu', 'Oakland', 'Oakville', 'Oasis', 'Oaxaca', 'Oaxacan', 'Ob', 'Obama', 'Obers', 'Objekt', 'Observe', 'Obviously', 'Ocean', 'Ochoa', 'Ocotillo', 'October', 'Octopus', 'Oddly', 'Odyssey', 'Offer', 'Offered', 'Offering', 'Office', 'Oh', 'Ohio', 'Ohmygosh', 'Ohno', 'Ok', 'Okaaay', 'Okada', 'Okay', 'Okso', 'Oktoberfest', 'Old', 'Ole', 'Olena', 'Olga', 'Olive', 'Oliver', 'Ollie', 'Olympus', 'Om', 'Omakase', 'Omei', 'Omg', 'Omnia', 'One', 'Ones', 'Ong', 'Onion', 'Online', 'Ontario', 'Ooh', 'Oohhh', 'Oops', 'Op', 'Open', 'OpenTable', 'Operations', 'Oprah', 'Optical', 'Optima', 'Orange', 'Orangeville', 'Order', 'Ordered', 'Ordering', 'Orders', 'Oreganos', 'Oregon', 'Oreillys', 'Orient', 'Oriental', 'Original', 'Originally', 'Orlando', 'Ornate', 'Orzo', 'Osgoode', 'Osgoods', 'Oster', 'Others', 'Otherwise', 'Ottawa', 'Otto', 'Ou', 'Ouiiiiii', 'Outback', 'Outdoor', 'Outraged', 'Outside', 'Outstanding', 'Overall', 'Overcrowded', 'Overheard', 'Overpriced', 'Overture', 'Owner', 'OwnerManager', 'Owners', 'Ox', 'Oyster', 'P', 'PA', 'PAC', 'PANCAKE', 'PARK', 'PARTS', 'PASS', 'PASTA', 'PBJ', 'PBR', 'PBS', 'PC', 'PD', 'PEPPER', 'PERFECT', 'PESTO', 'PF', 'PFs', 'PH', 'PHENOMENAL', 'PHO', 'PHOENIX', 'PHONE', 'PHONY', 'PHX', 'PICKY', 'PICTURES', 'PIECE', 'PIG', 'PITCHERS', 'PIZZA', 'PIttsburgh', 'PJ', 'PLACE', 'PLACED', 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'Said', 'Saigon', 'Sailfin', 'Sainsburys', 'Saint', 'Saks', 'Salad', 'SaladSandwich', 'Salads', 'Sales', 'Salesman', 'Sallys', 'Salmon', 'Salon', 'SalonStylist', 'Salons', 'Sals', 'Salt', 'Salted', 'Salut', 'Salvador', 'Sam', 'Samantha', 'Samaritan', 'Sammy', 'Samosas', 'Sample', 'Sams', 'Samy', 'San', 'Sanctuary', 'Sandra', 'Sandwich', 'Sandwiches', 'Sandy', 'Sang', 'Sangiovese', 'Santa', 'Santom', 'Sapphire', 'Sara', 'Sarah', 'Sashimi', 'Saskatoon', 'Sassy', 'Sat', 'Satisfied', 'Saturday', 'Saturdays', 'Sauce', 'Sauces', 'Sauga', 'Sauna', 'Sausages', 'Sautéed', 'Savanna', 'Savannah', 'Save', 'Savings', 'Saw', 'Sawmill', 'Say', 'Saying', 'Sazerac', 'Scabies', 'Scaddabush', 'Scallops', 'Scalp', 'Scandalous', 'Scar', 'Scarborough', 'Schatten', 'Schattenring', 'Scheduled', 'Scheduling', 'Schewan', 'Schlaue', 'Schluss', 'Schmoogers', 'Schnitzel', 'Scholes', 'School', 'Schottland', 'Schreiners', 'Schwartz', 'Schweinshaxe', 'Scion', 'Scones', 'Scooby', 'Score', 'Scorpion', 'Scot', 'Scotch', 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'Shoe', 'Shoefairy', 'Shoeless', 'Shoemaker', 'Shop', 'Shoppe', 'Shopped', 'Shoppers', 'Shopping', 'Shore', 'Short', 'Shortbread', 'Shortly', 'Shortrib', 'Shot', 'Shouldve', 'Show', 'Showboy', 'Showed', 'Showers', 'Shoyu', 'Shredded', 'Shrimp', 'Shuffleboard', 'Shushi', 'Shwarma', 'Si', 'Siam', 'Sicilian', 'Side', 'Sides', 'Sierrahair', 'Sigh', 'Sign', 'Signature', 'Silk', 'Silver', 'Similar', 'Similarly', 'Simon', 'Simoneta', 'Simple', 'Simply', 'Simulator', 'Sin', 'Since', 'Sincere', 'Sincerely', 'Singapore', 'Singers', 'Single', 'Sinigang', 'Sink', 'Sinon', 'Sipping', 'Siracha', 'Sirius', 'Sirnas', 'Sister', 'Sit', 'Sittin', 'Sitting', 'Six', 'Skewers', 'Skip', 'Skipped', 'Skirt', 'Skoogs', 'Skooks', 'Sky', 'Slaw', 'Slice', 'Sliced', 'Slices', 'Sliders', 'Sliding', 'Slightly', 'Sloan', 'Slow', 'Slurp', 'Slush', 'Slushy', 'Small', 'Smart', 'Smelly', 'Smh', 'Smile', 'SmokeShack', 'SmokeShake', 'Smoked', 'Smokey', 'Smoking', 'Smooth', 'Smoothie', 'Smoothies', 'Smores', 'Sndy', 'Snipits', 'Snoh', 'Snooze', 'Snow', 'SoCal', 'Soccer', 'Social', 'Soda', 'Soderberg', 'Soft', 'Soi', 'Sole', 'Soleil', 'Solid', 'Soliels', 'Solutions', 'Solved', 'Somehow', 'Someone', 'Something', 'Sometimes', 'Somewhat', 'Somewhere', 'Somlaw', 'Sommer', 'Son', 'Sonata', 'Sonic', 'Sonora', 'Sonoran', 'Soo', 'Soon', 'Sooo', 'Soooo', 'Sooooo', 'Soooooo', 'Soppressata', 'Sorbet', 'Soriano', 'Sorrry', 'Sorry', 'Soul', 'Sound', 'Sounds', 'Soup', 'Soupe', 'Soups', 'Sour', 'Sourdough', 'South', 'Southern', 'Southpark', 'Southwest', 'Southwestern', 'Sox', 'Spa', 'SpaFinder', 'Space', 'Spaghetti', 'Spanakopita', 'Spanish', 'Spanishstyle', 'Spare', 'Sparkling', 'Sparky', 'Spartanburg', 'Spatula', 'Speakeasy', 'Speaking', 'Spears', 'Special', 'Specialty', 'Speckled', 'Spectacular', 'Speechless', 'Speed', 'SpeedPro', 'Speedy', 'Speisekarte', 'Speisen', 'Speissen', 'Spent', 'Spice', 'Spiced', 'Spices', 'Spicy', 'Spinach', 'Spinatos', 'Spinsa', 'Spirit', 'Splendid', 'Splunk', 'Spoke', 'Spoon', 'Sport', 'Sports', 'Spot', 'Spotwe', 'Sprechers', 'Spring', 'Square', 'Squared', 'Squirrel', 'Sr', 'St', 'Stadtteil', 'Staff', 'Staffs', 'Stages', 'Stairs', 'Stale', 'Stand', 'Standard', 'Star', 'Starbucks', 'Starlett', 'Stars', 'Start', 'Started', 'Starter', 'Starwood', 'StarwoodMarriott', 'State', 'Station', 'Stay', 'Stayed', 'Steak', 'Steak44', 'Steakhouse', 'Steaks', 'Steam', 'Steamed', 'Steampunk', 'Stearns', 'Steelers', 'Steer', 'Stefan', 'Stefans', 'Stein', 'Stella', 'Stellar', 'Step', 'Stephanie', 'Stephen', 'Sterling', 'Stetson', 'Steubenville', 'Steve', 'Steven', 'Stevia', 'Stewart', 'Stick', 'Stickig', 'Sticking', 'Sticky', 'Stil', 'Still', 'Stir', 'Stockyards', 'Stone', 'Stoneys', 'Stop', 'Stopped', 'Stops', 'Store', 'Stores', 'Stormy', 'Stouffville', 'Straight', 'Strand', 'Strangely', 'Strawberry', 'Streak', 'Streamlined', 'Street', 'Strictly', 'String', 'Strip', 'StripCirca', 'Stripburger', 'Striper', 'Stripped', 'Stromboli', 'Strongbow', 'Strongly', 'Strongsville', 'Strozzapretti', 'Stuckdecken', 'Student', 'Studio', 'Stuff', 'Stumbled', 'Stunning', 'Stupendous', 'Stuttgart', 'Stuttgarter', 'Styrofoam', 'Sub', 'Subhumans', 'Sublime', 'Subs', 'Subway', 'Subways', 'Sucks', 'Suddenly', 'Sugar', 'Suicidal', 'Suites', 'Summary', 'Summer', 'Summerlin', 'Summertime', 'Sun', 'SunMon', 'Sunday', 'SundayFunday', 'Sundays', 'Sunrise', 'Sunshine', 'Sunstone', 'Sunwest', 'Super', 'Superb', 'Supercuts', 'Superdry', 'Superman', 'Supermarket', 'Supermodel', 'Superstition', 'Supplies', 'Support', 'Sure', 'Surprise', 'Surprised', 'Surprisingly', 'Surrounding', 'Susan', 'Susans', 'Sushi', 'Sushirestaurant', 'Swamp', 'Swank', 'Swedish', 'Sweeney', 'Sweet', 'Sweeties', 'Swimming', 'Swindled', 'Swiss', 'Switched', 'Swollen', 'Swordfish', 'Synch', 'Systems', 'Szechuan', 'Szmidts', 'Säulen', 'TACO', 'TACOS', 'TAIL', 'TAKE', 'TAKING', 'TALK', 'TASTY', 'TAX', 'TCT', 'TCooks', 'TECH', 'TELL', 'TERRIBLE', 'TGIFs', 'THANK', 'THATthey', 'THEE', 'THIRD', 'THREE', 'THROW', 'THUMBS', 'TIME', 'TIMES', 'TIP', 'TIPS', 'TIp', 'TKMT', 'TLDR', 'TOGET', 'TOLD', 'TONS', 'TOOL', 'TOP', 'TOPS', 'TORTILLAS', 'TOWELS', 'TRANSACTION', 'TRAP', 'TRIPLED', 'TRUE', 'TRULY', 'TRUST', 'TRY', 'TRex', 'TSA', 'TT', 'TTC', 'TTL', 'TTYCC', 'TTice', 'TURN', 'TV', 'TVOL', 'TVs', 'TWO', 'TX', 'Table', 'Taco', 'Tacos', 'Tadevic', 'Taekwondo', 'Taff', 'Tag', 'Tagungshotel', 'Tailors', 'Tais', 'Tait', 'Take', 'Take5', 'Takeshi', 'Taking', 'Tako', 'Talent', 'Tales', 'Talk', 'Talked', 'Talking', 'Tamale', 'Tamara', 'Tammy', 'Tams', 'Tan', 'Tandoori', 'Tanner', 'Tanya', 'Tao', 'Tap', 'Tapas', 'Tara', 'Taramousalata', 'Target', 'Taro', 'Tart', 'Tartare', 'Taste', 'TasteBuds', 'Tasty', 'Tattoo', 'Tatyanna', 'Tavern', 'Tavola', 'Tayeberry', 'Taylor', 'Tbh', 'Tea', 'Teachers', 'Team', 'Tear', 'Teas', 'Teaze', 'Tech', 'Technically', 'Techno', 'Ted', 'Teeter', 'Teil', 'Teir', 'Telephone', 'Temahome', 'Tempe', 'Temperature', 'Tempranillo', 'Ten', 'Tender', 'Teresa', 'Teriyaki', 'Terminal', 'Terrace', 'Terrasse', 'Terrible', 'Terribles', 'Terrific', 'Terroni', 'Terry', 'Tesla', 'Tessa', 'Tev', 'TexMex', 'Texas', 'Thai', 'ThaiSushi', 'Thailand', 'Thank', 'Thankfully', 'Thanks', 'Thanksgiving', 'Thankyou', 'Thant', 'Thats', 'Theatre', 'Thelmas', 'Therefore', 'Theres', 'Thet', 'Theyll', 'Theyre', 'Theyve', 'Thin', 'Thing', 'Things', 'Think', 'Thinking', 'Third', 'Thirdly', 'Thirty', 'Thisnis', 'Tho', 'Thomas', 'Thompson', 'Thoroughly', 'Though', 'Thought', 'Thoughts', 'Thousand', 'Threat', 'Three', 'Thrifty', 'Throughout', 'Thru', 'Thsi', 'Thumbs', 'Thunderbird', 'Thurs', 'Thursday', 'Thus', 'Thuy', 'Tibetan', 'Ticket', 'Ticketmaster', 'Tidewater', 'Tierra', 'Tiffany', 'Tiffanys', 'Tigers', 'Tiki', 'Tikka', 'Tile', 'Tim', 'Time', 'Times', 'Tina', 'Tinika', 'Tino', 'Tinocos', 'Tiny', 'Tip', 'Tipping', 'Tiramisu', 'Tire', 'Tires', 'Tirumiso', 'Tisch', 'Titanic', 'Title', 'Tivoli', 'Tldr', 'Toast', 'Toasts', 'Toblerone', 'Today', 'Todd', 'Toffee', 'Tofu', 'Togo', 'Told', 'Tolles', 'Tom', 'Toma', 'Tomahawk', 'Tomato', 'Tomatoes', 'Tombstone', 'Tommy', 'Tommys', 'Tonight', 'Tonkatsu', 'TonkotsuShoyu', 'Tons', 'Tony', 'Took', 'Top', 'Topped', 'Toppings', 'Topshop', 'Tornado', 'Toro', 'Toronto', 'TorontoFrom', 'Torontos', 'Tortilla', 'Tortillas', 'Tory', 'Tostada', 'Total', 'Totally', 'Tots', 'TouriShop', 'Tourneau', 'Tout', 'Towards', 'Tower', 'Towers', 'Towing', 'Town', 'Towns', 'Toyota', 'Toyotas', 'Toys', 'Tracey', 'Tracy', 'Trader', 'Traditional', 'Trainers', 'Training', 'Trainor', 'Trams', 'Transport', 'Trash', 'Trashburger', 'Tratto', 'Trattoria', 'Travel', 'Traveler', 'Traveling', 'Travis', 'Tre', 'Treasure', 'Treat', 'Treated', 'Tree', 'Treffpunkt', 'Trendy', 'Trevor', 'Tri', 'Tribal', 'Tribe', 'Trick', 'Tricks', 'Tricky', 'Tried', 'Trifecta', 'Trish', 'Troll', 'Tropical', 'TroxTech', 'TroxTechs', 'TruHit', 'TruckMax', 'Truckmax', 'True', 'Truffle', 'Truly', 'Trust', 'Trusting', 'Truthand', 'Truthfully', 'Try', 'Trying', 'Tryst', 'Très', 'Tshirt', 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'Upon', 'Uprising', 'Upselling', 'Uptown', 'Urban', 'Urgent', 'Urlaub', 'Us', 'Used', 'Uses', 'Usually', 'Utilizing', 'Utopia', 'Uuhhh', 'Uuuuuuhhhh', 'V1', 'VA', 'VACATION', 'VAL', 'VALUE', 'VANILLA', 'VBAC', 'VC', 'VEGAS', 'VEGETARIAN', 'VIA', 'VIP', 'VIPs', 'VISIT', 'VISITORS', 'VISTA', 'VM', 'VNG', 'VW', 'Vacation', 'Vacuum', 'Vaihingen', 'Val', 'Valdez', 'Vale', 'Valencia', 'Valentines', 'Valet', 'Valle', 'Valley', 'Value', 'Vancouver', 'Vanessa', 'Vang', 'Vanilla', 'Vanterpool', 'Vape', 'Vday', 'Veal', 'Vegad', 'Vegan', 'Vegans', 'Vegas', 'VegasStrong', 'Vegemite', 'Vegetable', 'Vegetables', 'Vegetarian', 'Veggie', 'Velasco', 'Velvet', 'Venetian', 'Venezia', 'Venezuelan', 'Venice', 'Vent', 'Venti', 'Veracruz', 'Verdict', 'Versailles', 'Vet', 'Veterinarian', 'Vette', 'Veuve', 'Via', 'Viande', 'Vibe', 'Vice', 'Vickie', 'Victoria', 'Viet', 'Vietnam', 'Vietname', 'Vietnamese', 'View', 'Villa', 'Village', 'Villages', 'Vince', 'Vincent', 'Vinces', 'Vinnys', 'Vintage', 'Violation', 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'technique', 'techniques', 'technology', 'techs', 'tedious', 'tee', 'teen', 'teenage', 'teenagers', 'teens', 'teeth', 'teh', 'telemarketer', 'telephone', 'television', 'televisions', 'tell', 'telling', 'tells', 'temp', 'tempe', 'tempera', 'temperature', 'temperatures', 'tempered', 'temporary', 'temps', 'tempt', 'tempted', 'tempting', 'tempura', 'ten', 'tenants', 'tend', 'tender', 'tenderloin', 'tenderness', 'tenders', 'tending', 'tendon', 'tendre', 'tenets', 'tennis', 'tensed', 'tent', 'tentacle', 'tentacles', 'teppan', 'tequila', 'terbialy', 'teriyaki', 'term', 'termbut', 'terminal', 'terminals', 'termite', 'terms', 'terrace', 'terrasse', 'terrible', 'terribleChicken', 'terribly', 'terrier', 'terrific', 'terrified', 'territorial', 'teryaki', 'test', 'testament', 'tested', 'testimony', 'testing', 'tests', 'tetras', 'tex', 'text', 'textbook', 'texted', 'texter', 'texting', 'texts', 'texture', 'textured', 'textures', 'texturized', 'texturizing', 'tgi', 'th', 'thai', 'thank', 'thanked', 'thankful', 'thankfully', 'thanks', 'thanksbeen', 'thatisnt', 'thatll', 'thats', 'thatwalks', 'theater', 'theatre', 'theft', 'theme', 'themed', 'themes', 'themthey', 'themthis', 'theory', 'therapeutic', 'therapist', 'therapists', 'therapy', 'thereI', 'thereafter', 'therebut', 'therefore', 'theres', 'theyd', 'theyll', 'theyre', 'theyve', 'thick', 'thicker', 'thickness', 'thief', 'thier', 'thieves', 'thieving', 'thigh', 'thighs', 'thin', 'thing', 'thingGreek', 'thingiesyummy', 'things', 'thingsfood', 'thingy', 'thining', 'think', 'thinking', 'thinkingHow', 'thinks', 'thinly', 'thinnest', 'third', 'thirst', 'thirty', 'thisand', 'thn', 'tho', 'thorns', 'thorough', 'thoroughly', 'thorugh', 'thou', 'though', 'thought', 'thoughtful', 'thoughtfully', 'thoughtout', 'thoughts', 'thousand', 'thousands', 'threading', 'threads', 'threat', 'threaten', 'threatened', 'threatening', 'threatens', 'three', 'threeman', 'threenight', 'threeyearold', 'threw', 'thrift', 'thrilled', 'throughly', 'throughout', 'throught', 'throughwith', 'throw', 'throwback', 'throwing', 'thrown', 'throws', 'thru', 'thst', 'tht', 'thumbs', 'thumping', 'thumps', 'thus', 'thx', 'thy', 'thyroid', 'théières', 'thés', 'ti', 'tibs', 'ticked', 'ticket', 'ticketed', 'tickets', 'ticking', 'tickles', 'tie', 'tied', 'tiene', 'tiers', 'tiger', 'tigers', 'tight', 'tightened', 'tikes', 'tikki', 'til', 'tilapia', 'tile', 'tiles', 'till', 'time', 'timeIve', 'timebroke', 'timed', 'timeever', 'timeframe', 'timegood', 'timeline', 'timely', 'timemovie', 'timer', 'timers', 'times', 'timethe', 'timethere', 'timetrusted', 'timevery', 'timey', 'timid', 'timing', 'timon', 'tin', 'tingle', 'tiniest', 'tinkering', 'tint', 'tinted', 'tiny', 'tip', 'tipa', 'tipped', 'tipping', 'tips', 'tipsy', 'tiramisu', 'tire', 'tired', 'tires', 'tissue', 'titan', 'title', 'titled', 'titles', 'toast', 'toasted', 'toastedon', 'toasties', 'toasting', 'toasts', 'today', 'todays', 'todayvery', 'toddler', 'toddlers', 'toddy', 'todo', 'toe', 'toenails', 'toes', 'tofu', 'together', 'togo', 'togos', 'toilet', 'toilets', 'tokens', 'told', 'tolerant', 'tolerate', 'toll', 'tolle', 'tolles', 'tollfree', 'tom', 'tomatillo', 'tomato', 'tomatoavocado', 'tomatoes', 'tomatoey', 'tomorrow', 'ton', 'tone', 'toner', 'tongue', 'tongues', 'tonics', 'tonight', 'tonite', 'tonkatsu', 'tonkotsu', 'tons', 'tontine', 'tooI', 'took', 'tool', 'tools', 'toonot', 'tooo', 'toooo', 'tooth', 'toothpaste', 'top', 'toped', 'topless', 'topnotch', 'topone', 'topped', 'topping', 'toppings', 'topple', 'toprated', 'tops', 'tore', 'torn', 'toronto', 'torta', 'tortas', 'torte', 'tortellinis', 'tortilla', 'tortillas', 'tortillini', 'tortured', 'toss', 'tossed', 'tossing', 'tostada', 'tostadas', 'tot', 'total', 'totaling', 'totally', 'totals', 'tote', 'totems', 'totes', 'totones', 'tots', 'touch', 'touched', 'touches', 'touching', 'touchy', 'tough', 'tougher', 'toujours', 'tour', 'tourist', 'touristcentric', 'touristy', 'tournament', 'tours', 'tous', 'tout', 'toutes', 'tow', 'toward', 'towards', 'towed', 'towel', 'towels', 'tower', 'towing', 'town', 'townComplimentary', 'towner', 'towners', 'townhouse', 'townskip', 'toxic', 'toys', 'toysrus', 'track', 'tracked', 'tracks', 'tractor', 'trade', 'tradein', 'trademarked', 'trader', 'trading', 'tradition', 'traditional', 'traditionalist', 'traffic', 'tragen', 'tragic', 'tragically', 'trail', 'trailers', 'trails', 'train', 'trained', 'trainee', 'trainer', 'trainers', 'training', 'trainings', 'trains', 'trainsiw', 'trait', 'tranquil', 'tranquility', 'transaction', 'transactions', 'transcript', 'transfer', 'transferred', 'transform', 'transforms', 'transit', 'transition', 'translates', 'translating', 'translation', 'translator', 'transmission', 'transport', 'transportation', 'transported', 'trap', 'trapped', 'trash', 'trattoria', 'traumatized', 'travel', 'traveled', 'traveler', 'travelers', 'traveling', 'travelling', 'travelocity', 'travels', 'traverse', 'tray', 'trays', 'treacherous', 'treadmill', 'treadmills', 'treasure', 'treasures', 'treat', 'treated', 'treating', 'treatment', 'treatments', 'treats', 'tree', 'trees', 'trek', 'trellis', 'tremendous', 'tremendously', 'trend', 'trendier', 'trendy', 'trepidation', 'tres', 'treu', 'trey', 'tri', 'triage', 'trial', 'tribute', 'trick', 'tricks', 'tricky', 'tricycles', 'tried', 'tries', 'trigger', 'trim', 'trimmed', 'trimmedstyled', 'trimming', 'trinkets', 'trio', 'trip', 'tripa', 'tripe', 'triple', 'tripled', 'tripping', 'trips', 'triscooter', 'trivia', 'trolley', 'trolling', 'trolls', 'tromper', 'trooper', 'trop', 'trophy', 'tropical', 'trouble', 'trousers', 'trouve', 'trouver', 'truck', 'trucks', 'true', 'trueas', 'truffle', 'truffled', 'truffles', 'truly', 'trump', 'trumps', 'trunk', 'trust', 'trusted', 'trusts', 'trustworthy', 'truth', 'try', 'trying', 'trywe', 'très', 'tsaziki', 'tshirts', 'tsp', 'tss', 'ttakeout', 'tub', 'tube', 'tubjacuzzi', 'tubs', 'tucked', 'tuition', 'tulip', 'tummy', 'tummywood', 'tun', 'tuna', 'tune', 'tuner', 'tunes', 'tunnel', 'turbo', 'turf', 'turkey', 'turkish', 'turkishstyle', 'turn', 'turnaround', 'turned', 'turning', 'turnover', 'turns', 'turtle', 'turtles', 'tuxedo', 'tv', 'tvs', 'tweet', 'twenty', 'twice', 'twicebaked', 'twicelowest', 'twilight', 'twins', 'twist', 'twists', 'two', 'twoThis', 'twobedroom', 'twofer', 'twostory', 'tx', 'tyke', 'type', 'types', 'typical', 'typically', 'tyrants', 'tzaiki', 'tzatziki', 'tzu', 'tôt', 'u', 'ube', 'uber', 'ubiquitous', 'ud', 'udon', 'ueber', 'ugh', 'ugly', 'uh', 'uhhhh', 'uhual', 'ultimate', 'ultimately', 'ultranutritious', 'um', 'umbrellalike', 'umm', 'ummm', 'umreundete', 'un', 'una', 'unable', 'unacceptable', 'unappreciated', 'unapproved', 'unassisted', 'unassuming', 'unattainable', 'unattentive', 'unattractive', 'unavailable', 'unaware', 'unbearable', 'unbeatable', 'unbelievable', 'unbelievably', 'unbequeme', 'uncalled', 'uncertain', 'uncle', 'unclean', 'unclear', 'uncles', 'uncomfortable', 'uncomfortably', 'uncomfortalbe', 'uncommon', 'unconcerned', 'und', 'undecorated', 'undercook', 'undercooked', 'undercut', 'underdone', 'undereducated', 'underestimate', 'underlying', 'underneath', 'underratedPlease', 'underside', 'understaffed', 'understand', 'understandable', 'understanding', 'understands', 'understated', 'understatement', 'understood', 'undertones', 'underutilized', 'underwater', 'underwhelmed', 'underwhelming', 'undiagnosed', 'undone', 'undoubtedly', 'une', 'uneaten', 'uneducated', 'unemployment', 'unenrolled', 'unenthusiastic', 'unethical', 'uneven', 'unevenly', 'unexpected', 'unexpectedly', 'unexpectedness', 'unfavorable', 'unfit', 'unforeseen', 'unforgettable', 'unfortunate', 'unfortunately', 'unfreundlich', 'unfriendly', 'unhappy', 'unhealthy', 'unhelpful', 'unhygienic', 'uni', 'unidentified', 'uniform', 'uniformly', 'uniforms', 'unimaginative', 'unimportant', 'unimpressed', 'unimpressive', 'uninterrupted', 'union', 'unique', 'uniquely', 'unisex', 'unit', 'units', 'universally', 'universe', 'unkept', 'unkind', 'unknowledgeable', 'unknown', 'unless', 'unlike', 'unlikely', 'unlimited', 'unload', 'unlock', 'unlucky', 'unnaceptable', 'unnecessarily', 'unnecessary', 'unorganized', 'unpacked', 'unpacking', 'unparalleled', 'unparallelled', 'unpleasant', 'unprofessional', 'unprofessionalism', 'unproffessional', 'unreal', 'unrealistic', 'unreasonable', 'unreasonably', 'unrecommended', 'unresponsive', 'unreturned', 'unrolling', 'uns', 'unsafe', 'unsatisfactory', 'unsatisfied', 'unsatisfying', 'unseasoned', 'unseren', 'unskilled', 'unsolicited', 'unsupervised', 'unsure', 'unsweetened', 'untapped', 'unthreaded', 'untitled', 'untouched', 'unused', 'unusual', 'unusually', 'unverständlich', 'unwind', 'unwrapped', 'upALWAYS', 'upbeat', 'upcharge', 'upcoming', 'upcurled', 'update', 'updated', 'updates', 'updating', 'upfront', 'upgrade', 'upgraded', 'upgrades', 'upgrading', 'upholstery', 'upkeep', 'uplifting', 'uploaded', 'upno', 'upon', 'upped', 'upper', 'uppity', 'upright', 'uproar', 'ups', 'upscale', 'upsell', 'upset', 'upside', 'upsidedown', 'upsold', 'upstairs', 'uptight', 'uptime', 'uptodate', 'uptown', 'ur', 'urban', 'urbana', 'urge', 'urgency', 'urgent', 'urges', 'urging', 'urine', 'urn', 'us', 'usTHERES', 'usVery', 'usable', 'use', 'used', 'useful', 'usefulness', 'useless', 'user', 'uses', 'ushers', 'using', 'usoffered', 'usual', 'usually', 'usualy', 'utensil', 'utensils', 'utiles', 'utilize', 'utilizing', 'utmost', 'utter', 'uttered', 'utterly', 'vacant', 'vacation', 'vacations', 'vaccines', 'vacinity', 'vacuum', 'vacuumed', 'vacuuming', 'vacuums', 'vague', 'vain', 'vairety', 'valet', 'valid', 'validate', 'validated', 'valley', 'valli', 'valuable', 'valuables', 'value', 'valued', 'values', 'valve', 'van', 'vandalize', 'vanilla', 'vanille', 'vape', 'vapes', 'vapeshops', 'vaping', 'vareniki', 'variations', 'varied', 'varies', 'varieties', 'variety', 'varietys', 'various', 'varié', 'vary', 'varying', 'vases', 'vast', 'vault', 'vaulted', 'vaut', 'veal', 'veg', 'vegan', 'veganfriendly', 'vegangf', 'vegans', 'vegas', 'vege', 'vegetable', 'vegetables', 'vegetarian', 'vegetarians', 'veggie', 'veggies', 'vehemently', 'vehicle', 'vehicles', 'velvet', 'velvety', 'venait', 'vendors', 'venimos', 'venom', 'venomous', 'vente', 'ventilation', 'vents', 'venture', 'ventured', 'venue', 'venuefinal', 'venues', 'vepudu', 'verbal', 'verbally', 'verde', 'verified', 'verify', 'verities', 'vermicelli', 'verre', 'versatile', 'versed', 'version', 'versions', 'versus', 'verzeihbar', 'verzierten', 'vest', 'vests', 'vet', 'veteran', 'veterans', 'veterinarian', 'veterinarians', 'veterinary', 'vethaving', 'vets', 'vez', 'via', 'viable', 'vials', 'viandes', 'vibe', 'vibes', 'vibrant', 'vibrations', 'vicious', 'victim', 'victime', 'video', 'videos', 'vie', 'viel', 'vient', 'viet', 'vietnamese', 'view', 'viewed', 'viewing', 'viewpoint', 'views', 'vigorous', 'vile', 'village', 'villains', 'villas', 'vinaigrette', 'vindaloo', 'vinegar', 'vinegarthe', 'vingeratte', 'vins', 'vintage', 'vinyl', 'violate', 'violated', 'violates', 'violation', 'violations', 'violent', 'violently', 'virtual', 'virtue', 'visa', 'visible', 'visibly', 'vision', 'visit', 'visitcheckup', 'visitdisgusting', 'visited', 'visiting', 'visitor', 'visitors', 'visits', 'visually', 'vital', 'vivre', 'vm', 'vodka', 'vodkacran', 'vodkay', 'voice', 'voiced', 'voicemail', 'voicemails', 'voices', 'voici', 'voicing', 'void', 'voila', 'voir', 'volcano', 'volleyball', 'volume', 'volumes', 'voluminous', 'volunteer', 'volunteered', 'volunteers', 'vom', 'von', 'voodoo', 'vor', 'vorderen', 'vorhanden', 'vos', 'vote', 'voting', 'votre', 'vouch', 'voucher', 'vouchers', 'vous', 'vow', 'voyage', 'vrai', 'vraiment', 'vs', 'vuala', 'vulnerable', 'vélo', 'vélos', 'völligst', 'w', 'w2', 'waaaay', 'waaaayyyyyyy', 'waaay', 'wad', 'waddling', 'wafer', 'waffle', 'waffles', 'wafting', 'wage', 'wagon', 'wagyu', 'wainscoting', 'waist', 'waistline', 'wait', 'waitFOR', 'waitdining', 'waited', 'waiter', 'waiterkitchen', 'waiters', 'waiterson', 'waiterstaffs', 'waiting', 'waitress', 'waitresses', 'waitresseswaiters', 'waits', 'waitstaff', 'waittime', 'waitvery', 'waived', 'waiver', 'wake', 'waking', 'walk', 'walkable', 'walked', 'walkfriendly', 'walkin', 'walking', 'walks', 'walkway', 'wall', 'wallet', 'wallow', 'walls', 'walltowall', 'walnut', 'walnuts', 'wan', 'wander', 'wandered', 'wanders', 'wanna', 'want', 'wanted', 'wanting', 'wantno', 'wantons', 'wants', 'war', 'ware', 'warehouse', 'waren', 'warf', 'warm', 'warmed', 'warmer', 'warming', 'warmly', 'warmth', 'warmup', 'warn', 'warned', 'warnedyou', 'warning', 'warrant', 'warranties', 'warranty', 'wars', 'warum', 'wary', 'wasA', 'wasabi', 'wash', 'washed', 'washer', 'washes', 'washi', 'washing', 'washroom', 'washrooms', 'wasnt', 'wasntthe', 'wast', 'waste', 'wasted', 'wasteland', 'wasting', 'watch', 'watched', 'watches', 'watching', 'water', 'watered', 'waterfall', 'watering', 'waterlike', 'waters', 'watery', 'wave', 'waved', 'waves', 'waving', 'wax', 'waxed', 'waxes', 'waxesseriously', 'waxing', 'way', 'ways', 'waythe', 'wazoo', 'wchicken', 'wchk', 'weak', 'weakest', 'weakness', 'weaknesses', 'wealth', 'wear', 'wearher', 'wearing', 'weather', 'weave', 'weaving', 'web', 'website', 'websites', 'wed', 'wedding', 'weddings', 'wedge', 'wedges', 'wee', 'week', 'weekAMAZING', 'weekThey', 'weekand', 'weekday', 'weekdays', 'weekend', 'weekendI', 'weekends', 'weeklong', 'weekly', 'weeknight', 'weeks', 'weeksmonths', 'weeksnow', 'weigh', 'weighed', 'weight', 'weightlifter', 'weights', 'weilt', 'weingrow', 'weird', 'weirdest', 'weirdness', 'weiterempfehlen', 'weiterhin', 'welcome', 'welcomed', 'welcoming', 'well', 'wellDevine', 'wellbehaved', 'wellbeing', 'wellclerks', 'welldeserved', 'welldone', 'welldressed', 'welledited', 'wellequipped', 'wellgreased', 'wellkept', 'wellknown', 'wellmaintained', 'wellmanaged', 'wellmeaning', 'wellness', 'welloff', 'welloiled', 'wellpackaged', 'wellrounded', 'wellseasoned', 'wellthought', 'wendys', 'wenn', 'went', 'wept', 'werde', 'wereare', 'werent', 'werw', 'werwnt', 'west', 'western', 'wet', 'wether', 'wetness', 'wetter', 'weve', 'whack', 'whatIt', 'whatever', 'whats', 'whatsoever', 'wheat', 'wheel', 'wheelchair', 'wheels', 'whenever', 'whenthe', 'whenver', 'whereas', 'wherein', 'wheres', 'whether', 'whew', 'whiff', 'whilst', 'whim', 'whimsical', 'whine', 'whip', 'whipped', 'whirlpool', 'whisked', 'whiskey', 'whisks', 'whisky', 'white', 'whittles', 'whiz', 'whn', 'whoever', 'whole', 'wholeheartedly', 'wholesale', 'wholesome', 'whomever', 'whoops', 'whopping', 'whore', 'whorenot', 'whos', 'whose', 'whove', 'whow', 'wicker', 'wide', 'wider', 'wie', 'wieder', 'wields', 'wife', 'wifes', 'wifey', 'wifeys', 'wifi', 'wih', 'wild', 'wildflowers', 'wildlife', 'wildly', 'willing', 'willingly', 'willkommen', 'willoughby', 'willow', 'wilted', 'win', 'wind', 'winder', 'windex', 'winding', 'window', 'windows', 'winds', 'windscreen', 'windshield', 'windy', 'wine', 'wines', 'wing', 'wings', 'wink', 'winner', 'winners', 'winning', 'wins', 'winter', 'wintery', 'winwin', 'wipe', 'wiped', 'wiper', 'wiping', 'wir', 'wird', 'wire', 'wireless', 'wirklich', 'wisdom', 'wise', 'wisely', 'wish', 'wished', 'wishes', 'wit', 'with3', 'withdrew', 'withheld', 'within', 'without', 'withstood', 'witness', 'witnessed', 'witnessing', 'witty', 'wives', 'wizard', 'wizzes', 'wmashed', 'wmy', 'wo', 'wobble', 'wobbling', 'wohl', 'wohlschmeckend', 'wohltuend', 'wohnen', 'wohnt', 'wok', 'woke', 'wolf', 'wolfed', 'wollen', 'woman', 'womanlooked', 'women', 'womens', 'wonder', 'wondered', 'wonderful', 'wonderfullol', 'wonderfully', 'wondering', 'wonderland', 'wonders', 'wont', 'wonton', 'wontons', 'wood', 'wooded', 'wooden', 'woodfired', 'woodland', 'woods', 'woodsy', 'woodtile', 'woohoo', 'word', 'wordAMAZING', 'wordAmazing', 'worded', 'words', 'wordsfood', 'wore', 'work', 'workable', 'worked', 'worker', 'workers', 'working', 'workingepically', 'workings', 'workman', 'workmanlike', 'workmanship', 'workout', 'workouts', 'works', 'workshop', 'workspace', 'world', 'worldclass', 'worldly', 'worlds', 'worldscreamy', 'worldthe', 'worm', 'worms', 'worn', 'worried', 'worries', 'worry', 'worrying', 'worse', 'worst', 'worth', 'worthless', 'worthwhile', 'worthy', 'wou', 'would', 'woulda', 'wouldnt', 'wouldve', 'wound', 'wout', 'wow', 'wowed', 'wrap', 'wrapped', 'wrappers', 'wraps', 'wreck', 'wrestling', 'wrinkled', 'wrist', 'write', 'writerI', 'writing', 'written', 'wrong', 'wrongabsolutely', 'wrongeven', 'wrote', 'wtf', 'wuerde', 'wunderbar', 'wunderbares', 'wurde', 'wurden', 'wwwcardboardchallengecom', 'während', 'wärmstens', 'x', 'xray', 'xrays', 'ya', 'yadda', 'yahoos', 'yak', 'yaki', 'yakisoba', 'yall', 'yapping', 'yard', 'yds', 'yea', 'yeah', 'yeahRocky', 'yeahtheres', 'year', 'yearly', 'yearning', 'years', 'yearsthe', 'yeast', 'yell', 'yellI', 'yelled', 'yelling', 'yellow', 'yellowtail', 'yelp', 'yelpapproved', 'yelpbut', 'yelped', 'yelpers', 'yelping', 'yelps', 'yep', 'yes', 'yesrs', 'yesterday', 'yesyou', 'yet', 'yield', 'yo', 'yoga', 'yogi', 'yogurt', 'yoi', 'yolk', 'yolks', 'yorkie', 'youd', 'youll', 'young', 'younger', 'youre', 'yourscottsdalecoach', 'youth', 'youthful', 'youthis', 'youve', 'yr', 'yuck', 'yucky', 'yum', 'yumm', 'yummlicious', 'yummm', 'yummmmm', 'yummy', 'yummybutafter', 'yuummmmm', 'zen', 'zentral', 'zeppoles', 'zero', 'zest', 'zesty', 'ziemlich', 'zinger', 'ziplock', 'zipping', 'zombie', 'zone', 'zoo', 'zu', 'zucchini', 'zuerst', 'zufriedenstellend', 'zum', '£1099Excellent', '£250', '£30', '£4', '£475', '£599', '£750', 'Épices', '××€×¥', 'Übrigens', 'à', 'ça', 'çaque', 'également', 'épaisse', 'éphémères', 'étaient', 'état', 'été', 'être', 'öfters', 'überfordert', 'überteuerten', '\\u200d', '千萬別去這個飯店。', '垃圾飯店', '服務非常差！！！']\n"
     ]
    }
   ],
   "source": [
    "print(vectorizer.get_feature_names())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]]\n"
     ]
    }
   ],
   "source": [
    "print(yelp_countvectorizer.toarray())  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3048, 20180)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelp_countvectorizer.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP#5: TRAINING THE MODEL WITH ALL DATASET"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Naive Bayes is the most straightforward and fast classification algorithm, which is suitable for a large chunk of data. \n",
    "#The multinomial Naive Bayes classifier is suitable for classification with discrete features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.naive_bayes import MultinomialNB\n",
    "\n",
    "NB_classifier = MultinomialNB()\n",
    "label = yelpDB1_5['stars'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 1, ..., 5, 5, 5], dtype=int64)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultinomialNB(alpha=1.0, class_prior=None, fit_prior=True)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NB_classifier.fit(yelp_countvectorizer, label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([5], dtype=int64)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testing_sample = ['amazing food! highly recommmended']\n",
    "testing_sample_countvectorizer = vectorizer.transform(testing_sample)\n",
    "test_predict = NB_classifier.predict(testing_sample_countvectorizer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1], dtype=int64)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testing_sample = ['shit food, made me sick']\n",
    "testing_sample_countvectorizer = vectorizer.transform(testing_sample)\n",
    "test_predict = NB_classifier.predict(testing_sample_countvectorizer)\n",
    "test_predict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP#6: DIVIDE THE DATA INTO TRAINING AND TESTING PRIOR TO TRAINING"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = yelp_countvectorizer\n",
    "y = label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3048, 20180)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3048,)"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#We split arrayas or matrices into random train and test subsets\n",
    "#train_size is of 0.2 which means 80% is training data and 20% is testing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultinomialNB(alpha=1.0, class_prior=None, fit_prior=True)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.naive_bayes import MultinomialNB\n",
    "\n",
    "NB_classifier = MultinomialNB()\n",
    "NB_classifier.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP#7: EVALUATING THE MODEL "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [],
   "source": [
    "#The sklearn.metrics module implements several loss, score, and utility functions to measure classification performance.\n",
    "#classification_report- Build a text report showing the main classification metrics\n",
    "#confusion_matrix- Compute confusion matrix to evaluate the accuracy of a classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report, confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Predicting the Train set results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  55,  468],\n",
       "       [   0, 1610]], dtype=int64)"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_predict_train = NB_classifier.predict(X_train)\n",
    "y_predict_train\n",
    "cm = confusion_matrix(y_train, y_predict_train)\n",
    "cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Predicting the Test set results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  4, 224],\n",
       "       [  0, 687]], dtype=int64)"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_predict_test = NB_classifier.predict(X_test)\n",
    "cm = confusion_matrix(y_test, y_predict_test)\n",
    "cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Predicting the classification report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       0.86      0.81      0.84       162\n",
      "           5       0.93      0.95      0.94       448\n",
      "\n",
      "    accuracy                           0.92       610\n",
      "   macro avg       0.90      0.88      0.89       610\n",
      "weighted avg       0.92      0.92      0.92       610\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_predict_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP #8: LET'S ADD WORD CLOUD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3048"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yelp_df_cleantry1.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Combining all the data we get after performing the clean_message process"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "textcombine = \"\"\n",
    "for i in range(yelp_df_cleantry1.shape[0]):\n",
    "    textjoin = \" \".join(yelp_df_cleantry1[i])\n",
    "    textcombine += \" \" + textjoin\n",
    "    \n",
    "finaltext = textcombine.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Word Cloud is a data visualization technique used for representing text data in which the size of each word indicates its frequency or importance\n",
    "#Image module providesa number of factory functions, including functions to load images from files, and to create new images.\n",
    "#The OS module in Python provides a way of using operating system dependent functionality.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "from PIL import Image\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Returns a normalized absolutized version of the pathname path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\japma\\\\Documents\\\\Algo Project'"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "currdir = os.path.abspath('')\n",
    "currdir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Take an image frame from the current directory\n",
    "#From the WordCloud function use the max_words, background_color and mask the image frame from previous step\n",
    "#Generate the word cloud\n",
    "#Store he word cloud in new image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_wc(text):\n",
    "    mask = np.array(Image.open(os.path.join(currdir, \"cloud.png\")))\n",
    "    wc = WordCloud(background_color='white',max_words=500,mask=mask)\n",
    "    wc.generate(text)\n",
    "    wc.to_file(os.path.join(currdir,\"wc.png\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create the wordcloud with the assigned data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "create_wc(finaltext)"
   ]
  },
  {
   "attachments": {
    "wc.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![wc.png](attachment:wc.png)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
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  "widgets": {
   "state": {},
   "version": "1.1.2"
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 },
 "nbformat": 4,
 "nbformat_minor": 1
}