Twitter_Mental_Disorder_Detection.ipynb

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    "The MIT License\n",
    "\n",
    "Copyright (c) 2019 Veronica Medrano\n",
    "\n",
    "Permission is hereby granted, free of charge, to any person obtaining a copy\n",
    "of this software and associated documentation files (the \"Software\"), to deal\n",
    "in the Software without restriction, including without limitation the rights\n",
    "to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
    "copies of the Software, and to permit persons to whom the Software is\n",
    "furnished to do so, subject to the following conditions:\n",
    "\n",
    "The above copyright notice and this permission notice shall be included in\n",
    "all copies or substantial portions of the Software.\n",
    "\n",
    "THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
    "IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
    "FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
    "AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
    "LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
    "OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n",
    "THE SOFTWARE.\n",
    "\n",
    "The following code is a derivative work of the code below that detects politcal sentiment, which is licensed under the MIT License. This code is also licensed under the terms of the MIT License, which can be found [here](https://github.com/vnoelifant/twitter_detect_depression/blob/master/LICENSE). Minor modifications were applied to focus on my problem, which is identify the words/phrases that indicate a mental disorder. Full citation of code is as follows:\n",
    "\n",
    "+ Source Code Title: FINAL____twitter_sentiment_twitter.ipynb\n",
    "+ Author: Ronald Wahome\n",
    "+ Availability: https://github.com/RonKG/Machine-Learning-Projects-2/tree/master/3.%20NLP_twitter_sentiment_analysis\n",
    "\n",
    "\n",
    "## Introduction\n",
    "While research has shown that throughout the decades, rates of diagnosing mental illness have improved, many cases remain undetected. Further, I have recently been interested in utilizing machine learning/deep learning tools to address this problem.Therefore in this project I demonstrate the key steps needed in a sentiment analysis problem which predicts whether a tweet is classified to imply someone does have a mental disorder, or someone does not have a mental disorder. For this project, it was decided to repeat an exisiting example of predictions made on sentiment in politics, tweaking some code to cater to my problem.\n",
    "\n",
    "An initial roadblock included finding a training data set with actual labels of whether someone is depressed or not. This is likely due to ethical concerns for others' privacy. It was time-consuming to find data, and if there was data, the approval process seemed long. Luckily through research in the open-source community, I was able to find publicly available data from Stanford which included pre-generated sentiment labels. While not as accurate, it was good to use for the problem. There was also a debate in how to pull future test data. I was initially concerned with authorization issues in accessing Twitter's API, so looked into Twint, a twitter scraping tool. It was, however difficult to find examples utilizing Twint that worked well at the time, and luckily I had no issues accessing Twitter's API, so went that route. It was also easy to query multiple search terms this way. It was found out later on, that Twint can also search for multiple terms. I think they are both good options for this kind of problem.\n",
    "\n",
    "Another road block was thinking I wasn't getting enough data from the API, but I figured out what to add in the code to increase the amount necessary for the project.  I also did more of a trial-error method for the query, deciding to include mostly negative terms, and one positive term, to see if the model is able to predict all moods, but in the future, I want to explore if there are better ways in pulling and organizing test data, to see if that may improve the model.  \n",
    "\n",
    "The research was very involved as I am new to the field of NLP. I utilized articles, read through similar code, and found that the resources below were the best resources to learn from, and build off of. \n",
    "\n",
    "Additional Resources: \n",
    "\n",
    "https://towardsdatascience.com/the-real-world-as-seen-on-twitter-sentiment-analysis-part-one-5ac2d06b63fb (article by the author of the code from above)\n",
    "\n",
    "https://towardsdatascience.com/the-real-world-as-seen-on-twitter-sentiment-analysis-part-two-3ed2670f927d (article by the author of the code from above)\n",
    "\n",
    "https://github.com/prateekjoshi565/twitter_sentiment_analysis \n",
    "\n",
    "https://www.analyticsvidhya.com/blog/2018/07/hands-on-sentiment-analysis-dataset-python/\\\\ (author of above code)\n",
    "\n",
    "http://aclweb.org/anthology/W18-0609\n",
    "\n",
    "https://pdfs.semanticscholar.org/ba53/c6d6acc62f3774874bf7d4cd889276593b88.pdf\n",
    "\n",
    "\n",
    "The major steps of a text sentiment analysis are as follows and detailed in the code:\n",
    "\n",
    "+ Tweet preprocessing/cleaning\n",
    "+ Story Generalization and Visualization from Tweets\n",
    "+ Extract features from cleaned tweets\n",
    "+ Model Building: Sentiment Analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import necessary libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import csv\n",
    "import nltk\n",
    "import string\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "import random\n",
    "\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import f1_score\n",
    "from sklearn.model_selection import KFold, cross_val_score\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn import svm\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.feature_extraction.text import TfidfTransformer\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.externals import joblib\n",
    "import nltk\n",
    "\n",
    "from nltk.corpus import stopwords\n",
    "#nltk.download()\n",
    "from nltk.tokenize import TweetTokenizer\n",
    "from nltk.stem.wordnet import WordNetLemmatizer\n",
    "from nltk.stem.porter import *\n",
    "stemmer = PorterStemmer()\n",
    "\n",
    "import pickle\n",
    "import re\n",
    "from collections import Counter\n",
    "from string import punctuation\n",
    "import tweepy\n",
    "#from tweepy import OAuthHandler\n",
    "import json\n",
    "from wordcloud import WordCloud\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "import gensim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "b'Skipping line 8836: expected 4 fields, saw 5\\n'\n",
      "b'Skipping line 535882: expected 4 fields, saw 7\\n'\n"
     ]
    },
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     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>label</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Sentiment140</td>\n",
       "      <td>is so sad for my APL frie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Sentiment140</td>\n",
       "      <td>I missed the New Moon trail...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sentiment140</td>\n",
       "      <td>omg its already 7:30 :O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Sentiment140</td>\n",
       "      <td>.. Omgaga. Im sooo  im gunna CRy. I'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Sentiment140</td>\n",
       "      <td>i think mi bf is cheating on me!!!   ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  label        source                                               text\n",
       "0   1      0  Sentiment140                       is so sad for my APL frie...\n",
       "1   2      0  Sentiment140                     I missed the New Moon trail...\n",
       "2   3      1  Sentiment140                            omg its already 7:30 :O\n",
       "3   4      0  Sentiment140            .. Omgaga. Im sooo  im gunna CRy. I'...\n",
       "4   5      0  Sentiment140           i think mi bf is cheating on me!!!   ..."
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load training data containing pre-generated labels ('Sentiment Analysis Dataset 2.csv')\n",
    "# load train data\n",
    "data = pd.read_csv('Sentiment Analysis Dataset 2.csv',\n",
    "                   error_bad_lines=False)\n",
    "data.columns = ['id','label','source','text']\n",
    "data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyze Training Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>is so sad for my APL frie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>I missed the New Moon trail...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>omg its already 7:30 :O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>.. Omgaga. Im sooo  im gunna CRy. I'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>i think mi bf is cheating on me!!!   ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>or i just worry too much?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>Juuuuuuuuuuuuuuuuussssst Chillin!!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>Sunny Again        Work Tomorrow  :-|  ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>handed in my uniform today . i miss you ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>hmmmm.... i wonder how she my number @-)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                               text\n",
       "0      0                       is so sad for my APL frie...\n",
       "1      0                     I missed the New Moon trail...\n",
       "2      1                            omg its already 7:30 :O\n",
       "3      0            .. Omgaga. Im sooo  im gunna CRy. I'...\n",
       "4      0           i think mi bf is cheating on me!!!   ...\n",
       "5      0                  or i just worry too much?        \n",
       "6      1                 Juuuuuuuuuuuuuuuuussssst Chillin!!\n",
       "7      0         Sunny Again        Work Tomorrow  :-|  ...\n",
       "8      1        handed in my uniform today . i miss you ...\n",
       "9      1           hmmmm.... i wonder how she my number @-)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# analyze the training data\n",
    "# get text and matching label columns\n",
    "data = data.drop(['id','source'],axis=1)\n",
    "data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of positve tagged sentences is:  788435\n",
      "number of negative tagged sentences is: 790177\n",
      "total length of the data is:            1578612\n"
     ]
    }
   ],
   "source": [
    "# check the number of positive vs. negative tagged sentences\n",
    "positives = data['label'][data.label == 0]\n",
    "negatives = data['label'][data.label == 1]\n",
    "\n",
    "print('number of positve tagged sentences is:  {}'.format(len(positives)))\n",
    "print('number of negative tagged sentences is: {}'.format(len(negatives)))\n",
    "print('total length of the data is:            {}'.format(data.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">text</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
       "      <th>top</th>\n",
       "      <th>freq</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>788435</td>\n",
       "      <td>788435</td>\n",
       "      <td>I don't know if anyone will read this! I can't...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>790177</td>\n",
       "      <td>790177</td>\n",
       "      <td>@BornRandy I wish the local kennels thought th...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         text                                                                \n",
       "        count  unique                                                top freq\n",
       "label                                                                        \n",
       "0      788435  788435  I don't know if anyone will read this! I can't...    1\n",
       "1      790177  790177  @BornRandy I wish the local kennels thought th...    1"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get unique label counts\n",
    "data.groupby('label').describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>text</th>\n",
       "      <th>word count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>is so sad for my APL frie...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>I missed the New Moon trail...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>omg its already 7:30 :O</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                               text  word count\n",
       "0      0                       is so sad for my APL frie...           7\n",
       "1      0                     I missed the New Moon trail...           6\n",
       "2      1                            omg its already 7:30 :O           5"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get a word count per sentence column\n",
    "def word_count(sentence):\n",
    "    return len(sentence.split())\n",
    "    \n",
    "data['word count'] = data['text'].apply(word_count)\n",
    "data.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visual Story: Training Data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f1cd5ede940>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot word count distribution for both positive and negative sentiments\n",
    "x = data['word count'][data.label == 1]\n",
    "y = data['word count'][data.label == 0]\n",
    "plt.figure(figsize=(12,6))\n",
    "plt.xlim(0,45)\n",
    "plt.xlabel('word count')\n",
    "plt.ylabel('frequency')\n",
    "g = plt.hist([x, y], color=['r','b'], alpha=0.5, label=['positive','negative'])\n",
    "plt.legend(loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Per above, we have a good training data set due to expected Twitter word cound and equal distribution of positive and negative sentiment. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('i', 741876),\n",
       " ('to', 556149),\n",
       " ('the', 516654),\n",
       " ('a', 374024),\n",
       " ('my', 309966),\n",
       " ('and', 294805),\n",
       " ('you', 236109),\n",
       " ('is', 229444),\n",
       " ('for', 212852),\n",
       " ('in', 209009)]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get most common words in training dataset\n",
    "all_words = []\n",
    "for line in list(data['text']):\n",
    "    words = line.split()\n",
    "    for word in words:\n",
    "        all_words.append(word.lower())\n",
    "    \n",
    "    \n",
    "Counter(all_words).most_common(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'log-log plot of words frequency')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot word frequency distribution of first few words\n",
    "plt.figure(figsize=(12,5))\n",
    "plt.title('Top 25 most common words')\n",
    "plt.xticks(fontsize=13, rotation=90)\n",
    "fd = nltk.FreqDist(all_words)\n",
    "fd.plot(25,cumulative=False)\n",
    "\n",
    "# log-log plot\n",
    "word_counts = sorted(Counter(all_words).values(), reverse=True)\n",
    "plt.figure(figsize=(12,5))\n",
    "plt.loglog(word_counts, linestyle='-', linewidth=1.5)\n",
    "plt.ylabel(\"Freq\")\n",
    "plt.xlabel(\"Word Rank\")\n",
    "plt.title('log-log plot of words frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Access Data from Twitter API\n",
    "Code commented out for ease in running code multiple times. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "# download Twitter API data (to be used as the unseen test data later)\n",
    "# twitter api credentials - you need these to gain access to API\n",
    "\n",
    "consumer_key = '*************************'\n",
    "consumer_secret = '*************************'\n",
    "access_token = '*************************'\n",
    "access_token_secret = '*************************'\n",
    "\n",
    "# instantiate the api\n",
    "auth = tweepy.OAuthHandler(consumer_key, consumer_secret)\n",
    "auth.set_access_token(access_token, access_token_secret)\n",
    "api = tweepy.API(auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n# string to search on twitter\\nquery = \\'depressed OR anxiety OR hopeless OR numb OR I am depressed OR I want to die\\'\\n\\n# open/create a csv file to append data\\ncsvFile = open(\\'tweet_mental_test_3.csv\\', \\'w\\',encoding=\\'utf-8\\')\\n# use csv Writer\\ncsvWriter = csv.writer(csvFile)\\n\\n# get data from twitter\\ntweet_num = 0\\nfor tweet in tweepy.Cursor(api.search,q=query,count=10000000,lang=\"en\").items(5000):\\n    #print(tweet)\\n\\n    if tweet.place is not None:\\n        try:\\n            # not entirely necessary but you can inspect what is being written to file\\n            print (\\'tweet number: {}\\'.format(tweet_num), tweet.text, tweet.place.full_name)\\n            # write data to csv\\n            csvWriter.writerow([tweet.created_at,\\n                                tweet.user.location,\\n                                tweet.user.followers_count,\\n                                tweet.user.friends_count,\\n                                tweet.text,\\n                                tweet.place.bounding_box.coordinates,\\n                                tweet.place.full_name,\\n                                tweet.place.country,\\n                                tweet.place.country_code,\\n                                tweet.place.place_type])\\n            tweet_num += 1\\n            \\n        except Exception:\\n            pass\\n'"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "# string to search on twitter\n",
    "query = 'depressed OR anxiety OR hopeless OR numb OR I am depressed OR I want to die'\n",
    "\n",
    "# open/create a csv file to append data\n",
    "csvFile = open('tweet_mental_test_3.csv', 'w',encoding='utf-8')\n",
    "# use csv Writer\n",
    "csvWriter = csv.writer(csvFile)\n",
    "\n",
    "# get data from twitter\n",
    "tweet_num = 0\n",
    "for tweet in tweepy.Cursor(api.search,q=query,count=10000000,lang=\"en\").items(5000):\n",
    "    #print(tweet)\n",
    "\n",
    "    if tweet.place is not None:\n",
    "        try:\n",
    "            # not entirely necessary but you can inspect what is being written to file\n",
    "            print ('tweet number: {}'.format(tweet_num), tweet.text, tweet.place.full_name)\n",
    "            # write data to csv\n",
    "            csvWriter.writerow([tweet.created_at,\n",
    "                                tweet.user.location,\n",
    "                                tweet.user.followers_count,\n",
    "                                tweet.user.friends_count,\n",
    "                                tweet.text,\n",
    "                                tweet.place.bounding_box.coordinates,\n",
    "                                tweet.place.full_name,\n",
    "                                tweet.place.country,\n",
    "                                tweet.place.country_code,\n",
    "                                tweet.place.place_type])\n",
    "            tweet_num += 1\n",
    "            \n",
    "        except Exception:\n",
    "            pass\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyze Test Data and Build a Working DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>date</th>\n",
       "      <th>user_loc</th>\n",
       "      <th>followers</th>\n",
       "      <th>friends</th>\n",
       "      <th>message</th>\n",
       "      <th>bbox_coords</th>\n",
       "      <th>full_name</th>\n",
       "      <th>country</th>\n",
       "      <th>country_code</th>\n",
       "      <th>place_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-12-25 01:17:13</td>\n",
       "      <td>The 1975 by The 1975</td>\n",
       "      <td>539</td>\n",
       "      <td>964</td>\n",
       "      <td>Yes tomorrow is Christmas and yes I am excited...</td>\n",
       "      <td>[[[-112.074758, 40.630579], [-111.920124, 40.6...</td>\n",
       "      <td>West Valley City, UT</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>city</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-12-24 16:56:32</td>\n",
       "      <td>Somewhere being a gud noodle⭐️</td>\n",
       "      <td>3653</td>\n",
       "      <td>4439</td>\n",
       "      <td>My cousin: “your not going hard enough🙄”\\nMe: ...</td>\n",
       "      <td>[[[-112.3239143, 33.29026], [-111.9254391, 33....</td>\n",
       "      <td>Phoenix, AZ</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>city</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-12-23 17:35:29</td>\n",
       "      <td>Massachusetts, USA</td>\n",
       "      <td>146</td>\n",
       "      <td>575</td>\n",
       "      <td>@altCourierSix No- not at all. Respectfully.\\n...</td>\n",
       "      <td>[[[-73.508143, 41.187054], [-69.858861, 41.187...</td>\n",
       "      <td>Massachusetts, USA</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>admin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-12-23 17:16:15</td>\n",
       "      <td>Plymouth, England</td>\n",
       "      <td>5782</td>\n",
       "      <td>1943</td>\n",
       "      <td>@LukePollard Yep but if you get into power?  S...</td>\n",
       "      <td>[[[-4.0964915, 50.3893936], [-4.030421, 50.389...</td>\n",
       "      <td>Marsh Mills, England</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>city</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-12-23 07:15:35</td>\n",
       "      <td>Marysville, WA</td>\n",
       "      <td>1347</td>\n",
       "      <td>427</td>\n",
       "      <td>as much as my life is completely falling apart...</td>\n",
       "      <td>[[[-122.220382, 48.0199614], [-122.108673, 48....</td>\n",
       "      <td>Marysville, WA</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>city</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  date                        user_loc  followers  friends  \\\n",
       "0  2018-12-25 01:17:13            The 1975 by The 1975        539      964   \n",
       "1  2018-12-24 16:56:32  Somewhere being a gud noodle⭐️       3653     4439   \n",
       "2  2018-12-23 17:35:29              Massachusetts, USA        146      575   \n",
       "3  2018-12-23 17:16:15               Plymouth, England       5782     1943   \n",
       "4  2018-12-23 07:15:35                  Marysville, WA       1347      427   \n",
       "\n",
       "                                             message  \\\n",
       "0  Yes tomorrow is Christmas and yes I am excited...   \n",
       "1  My cousin: “your not going hard enough🙄”\\nMe: ...   \n",
       "2  @altCourierSix No- not at all. Respectfully.\\n...   \n",
       "3  @LukePollard Yep but if you get into power?  S...   \n",
       "4  as much as my life is completely falling apart...   \n",
       "\n",
       "                                         bbox_coords             full_name  \\\n",
       "0  [[[-112.074758, 40.630579], [-111.920124, 40.6...  West Valley City, UT   \n",
       "1  [[[-112.3239143, 33.29026], [-111.9254391, 33....           Phoenix, AZ   \n",
       "2  [[[-73.508143, 41.187054], [-69.858861, 41.187...    Massachusetts, USA   \n",
       "3  [[[-4.0964915, 50.3893936], [-4.030421, 50.389...  Marsh Mills, England   \n",
       "4  [[[-122.220382, 48.0199614], [-122.108673, 48....        Marysville, WA   \n",
       "\n",
       "          country country_code place_type  \n",
       "0   United States           US       city  \n",
       "1   United States           US       city  \n",
       "2   United States           US      admin  \n",
       "3  United Kingdom           GB       city  \n",
       "4   United States           US       city  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create column names\n",
    "col_names=['date','user_loc','followers','friends','message','bbox_coords',\\\n",
    "           'full_name','country','country_code','place_type']\n",
    "\n",
    "# read csv\n",
    "df_test = pd.read_csv('tweet_mental_test_3.csv', names=col_names)\n",
    "\n",
    "# check head\n",
    "df_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>user_loc</th>\n",
       "      <th>followers</th>\n",
       "      <th>friends</th>\n",
       "      <th>message</th>\n",
       "      <th>bbox_coords</th>\n",
       "      <th>full_name</th>\n",
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       "      <th>country_code</th>\n",
       "      <th>place_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-12-15 12:34:28</td>\n",
       "      <td>Fantasyland</td>\n",
       "      <td>777</td>\n",
       "      <td>432</td>\n",
       "      <td>Oh how badly I want to put in for an er becaus...</td>\n",
       "      <td>[[[-87.634643, 24.396308], [-79.974307, 24.396...</td>\n",
       "      <td>Florida, USA</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>admin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-12-15 12:40:10</td>\n",
       "      <td>Makati City, National Capital</td>\n",
       "      <td>96</td>\n",
       "      <td>91</td>\n",
       "      <td>with this pain i am feeling right now i want t...</td>\n",
       "      <td>[[[120.7638121, 14.7575264], [120.8677259, 14....</td>\n",
       "      <td>Malolos City, Central Luzon</td>\n",
       "      <td>Republic of the Philippines</td>\n",
       "      <td>PH</td>\n",
       "      <td>city</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-12-15 12:52:01</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>329</td>\n",
       "      <td>345</td>\n",
       "      <td>I am certain this is not a hill I want to be o...</td>\n",
       "      <td>[[[-118.668404, 33.704538], [-118.155409, 33.7...</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>city</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-12-15 14:23:22</td>\n",
       "      <td>Dublin City, Ireland</td>\n",
       "      <td>1024</td>\n",
       "      <td>339</td>\n",
       "      <td>Sorry there’s videos from last night of me sin...</td>\n",
       "      <td>[[[-6.4757083, 53.3508617], [-5.9957316, 53.35...</td>\n",
       "      <td>Fingal, Ireland</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>IE</td>\n",
       "      <td>city</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-12-16 01:42:49</td>\n",
       "      <td>Stony Plain, AB</td>\n",
       "      <td>427</td>\n",
       "      <td>1234</td>\n",
       "      <td>@LoyalcompanyRV @Teresa_keeps @JayBallYeg You ...</td>\n",
       "      <td>[[[-113.71368, 53.395531], [-113.271555, 53.39...</td>\n",
       "      <td>Edmonton, Alberta</td>\n",
       "      <td>Canada</td>\n",
       "      <td>CA</td>\n",
       "      <td>city</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 date                        user_loc  followers  friends  \\\n",
       "0 2018-12-15 12:34:28                     Fantasyland        777      432   \n",
       "1 2018-12-15 12:40:10  Makati City, National Capital          96       91   \n",
       "2 2018-12-15 12:52:01                 Los Angeles, CA        329      345   \n",
       "3 2018-12-15 14:23:22            Dublin City, Ireland       1024      339   \n",
       "4 2018-12-16 01:42:49                 Stony Plain, AB        427     1234   \n",
       "\n",
       "                                             message  \\\n",
       "0  Oh how badly I want to put in for an er becaus...   \n",
       "1  with this pain i am feeling right now i want t...   \n",
       "2  I am certain this is not a hill I want to be o...   \n",
       "3  Sorry there’s videos from last night of me sin...   \n",
       "4  @LoyalcompanyRV @Teresa_keeps @JayBallYeg You ...   \n",
       "\n",
       "                                         bbox_coords  \\\n",
       "0  [[[-87.634643, 24.396308], [-79.974307, 24.396...   \n",
       "1  [[[120.7638121, 14.7575264], [120.8677259, 14....   \n",
       "2  [[[-118.668404, 33.704538], [-118.155409, 33.7...   \n",
       "3  [[[-6.4757083, 53.3508617], [-5.9957316, 53.35...   \n",
       "4  [[[-113.71368, 53.395531], [-113.271555, 53.39...   \n",
       "\n",
       "                     full_name                      country country_code  \\\n",
       "0                 Florida, USA                United States           US   \n",
       "1  Malolos City, Central Luzon  Republic of the Philippines           PH   \n",
       "2              Los Angeles, CA                United States           US   \n",
       "3              Fingal, Ireland                      Ireland           IE   \n",
       "4            Edmonton, Alberta                       Canada           CA   \n",
       "\n",
       "  place_type  \n",
       "0      admin  \n",
       "1       city  \n",
       "2       city  \n",
       "3       city  \n",
       "4       city  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sort dataframe by date column\n",
    "df_test['date'] = pd.to_datetime(df_test['date'])\n",
    "df_test = df_test.sort_values(by='date',ascending=True)\n",
    "df_test = df_test.reset_index().drop('index',axis=1)\n",
    "df_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>user_loc</th>\n",
       "      <th>message</th>\n",
       "      <th>full_name</th>\n",
       "      <th>country</th>\n",
       "      <th>country_code</th>\n",
       "      <th>geo_code</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>2018-12-15 12:34:28</td>\n",
       "      <td>Fantasyland</td>\n",
       "      <td>Oh how badly I want to put in for an er becaus...</td>\n",
       "      <td>Florida, USA</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>[-83.804475, 27.698682]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-12-15 12:40:10</td>\n",
       "      <td>Makati City, National Capital</td>\n",
       "      <td>with this pain i am feeling right now i want t...</td>\n",
       "      <td>Malolos City, Central Luzon</td>\n",
       "      <td>Republic of the Philippines</td>\n",
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       "      <td>[120.815769, 14.824525]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-12-15 12:52:01</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>I am certain this is not a hill I want to be o...</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>[-118.411906, 34.02079]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-12-15 14:23:22</td>\n",
       "      <td>Dublin City, Ireland</td>\n",
       "      <td>Sorry there’s videos from last night of me sin...</td>\n",
       "      <td>Fingal, Ireland</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>IE</td>\n",
       "      <td>[-6.23572, 53.494598]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-12-16 01:42:49</td>\n",
       "      <td>Stony Plain, AB</td>\n",
       "      <td>@LoyalcompanyRV @Teresa_keeps @JayBallYeg You ...</td>\n",
       "      <td>Edmonton, Alberta</td>\n",
       "      <td>Canada</td>\n",
       "      <td>CA</td>\n",
       "      <td>[-113.492618, 53.55582]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 date                        user_loc  \\\n",
       "0 2018-12-15 12:34:28                     Fantasyland   \n",
       "1 2018-12-15 12:40:10  Makati City, National Capital    \n",
       "2 2018-12-15 12:52:01                 Los Angeles, CA   \n",
       "3 2018-12-15 14:23:22            Dublin City, Ireland   \n",
       "4 2018-12-16 01:42:49                 Stony Plain, AB   \n",
       "\n",
       "                                             message  \\\n",
       "0  Oh how badly I want to put in for an er becaus...   \n",
       "1  with this pain i am feeling right now i want t...   \n",
       "2  I am certain this is not a hill I want to be o...   \n",
       "3  Sorry there’s videos from last night of me sin...   \n",
       "4  @LoyalcompanyRV @Teresa_keeps @JayBallYeg You ...   \n",
       "\n",
       "                     full_name                      country country_code  \\\n",
       "0                 Florida, USA                United States           US   \n",
       "1  Malolos City, Central Luzon  Republic of the Philippines           PH   \n",
       "2              Los Angeles, CA                United States           US   \n",
       "3              Fingal, Ireland                      Ireland           IE   \n",
       "4            Edmonton, Alberta                       Canada           CA   \n",
       "\n",
       "                  geo_code  \n",
       "0  [-83.804475, 27.698682]  \n",
       "1  [120.815769, 14.824525]  \n",
       "2  [-118.411906, 34.02079]  \n",
       "3    [-6.23572, 53.494598]  \n",
       "4  [-113.492618, 53.55582]  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get central geo location from the bounding box for later mapping\n",
    "\n",
    "# helper function to get mean of lats and longs\n",
    "def geo_mean(x):\n",
    "    y = json.loads(x)\n",
    "    y = np.asarray(y)\n",
    "    mean_geoloc = np.add(np.add((y[:][0][0]),(y[:][0][1]))/2,\\\n",
    "                         (np.add((y[:][0][2]),(y[:][0][3]))/2))/2    \n",
    "    return np.around(mean_geoloc,decimals=6)\n",
    "\n",
    "# ____________________________________________________________\n",
    "\n",
    "# append new column  and clean up df\n",
    "df_test['geo_code'] = df_test['bbox_coords'].apply(geo_mean)\n",
    "df_test = df_test.drop(['bbox_coords','place_type','followers','friends'],axis=1)\n",
    "df_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test.to_pickle('df_ment3.p') # save dframe to pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  date                        user_loc  \\\n",
      "0  2018-12-15 12:34:28                     Fantasyland   \n",
      "1  2018-12-15 12:40:10  Makati City, National Capital    \n",
      "2  2018-12-15 12:52:01                 Los Angeles, CA   \n",
      "3  2018-12-15 14:23:22            Dublin City, Ireland   \n",
      "4  2018-12-16 01:42:49                 Stony Plain, AB   \n",
      "5  2018-12-16 01:56:21                     Houston, TX   \n",
      "6  2018-12-16 04:21:24               Manilaaaaaaaaaaaa   \n",
      "7  2018-12-16 13:13:51              madison heights va   \n",
      "8  2018-12-16 21:10:38                             NaN   \n",
      "9  2018-12-17 06:56:20                           Yukon   \n",
      "10 2018-12-17 07:12:37                             NaN   \n",
      "11 2018-12-17 19:03:22         Buenos Aires, Argentina   \n",
      "12 2018-12-17 21:02:05                     Chicago, IL   \n",
      "13 2018-12-17 22:09:17                    Savannah, GA   \n",
      "14 2018-12-18 03:57:16            Leeds, Yorkshire, UK   \n",
      "15 2018-12-18 04:53:13                 Atlanta, GA USA   \n",
      "16 2018-12-18 05:17:49                       Ocala, FL   \n",
      "17 2018-12-18 11:38:11                          Fresno   \n",
      "18 2018-12-18 14:56:40                 Barrie, Ontario   \n",
      "19 2018-12-18 15:49:05                  Lagos, Nigeria   \n",
      "20 2018-12-19 06:42:18                        대한민국 강서구   \n",
      "21 2018-12-19 13:08:06              Point Pleasant, NJ   \n",
      "22 2018-12-19 13:54:23                     Los Angeles   \n",
      "23 2018-12-19 17:59:12                     Suffolk, VA   \n",
      "24 2018-12-19 19:16:32                       Islamabad   \n",
      "25 2018-12-19 22:14:39                             NYC   \n",
      "26 2018-12-20 00:37:04                             NaN   \n",
      "27 2018-12-20 03:03:57            Lagos island,Nigeria   \n",
      "28 2018-12-20 04:49:38               probably w/ shane   \n",
      "29 2018-12-20 06:10:40                             NaN   \n",
      "30 2018-12-20 12:14:15                             NaN   \n",
      "31 2018-12-21 00:05:52                      Harlan, KY   \n",
      "32 2018-12-21 01:49:06                             NaN   \n",
      "33 2018-12-21 03:16:08                   Stoughton, MA   \n",
      "34 2018-12-21 16:22:52                 Ontario, Canada   \n",
      "35 2018-12-21 16:36:30             Lethbridge, Alberta   \n",
      "36 2018-12-21 18:24:55             Bremen, Deutschland   \n",
      "37 2018-12-21 21:10:09                             USA   \n",
      "38 2018-12-21 23:40:59                     Chicago, IL   \n",
      "39 2018-12-21 23:56:32               Pennsylvania, USA   \n",
      "40 2018-12-22 07:26:38                 Willimantic Ct.   \n",
      "41 2018-12-22 12:31:09                   Oklahoma, USA   \n",
      "42 2018-12-22 14:44:27                             NaN   \n",
      "43 2018-12-23 01:17:00  Lake Charles, Houston, Orlando   \n",
      "44 2018-12-23 03:35:36               St Petersburg, FL   \n",
      "45 2018-12-23 07:15:35                  Marysville, WA   \n",
      "46 2018-12-23 17:16:15               Plymouth, England   \n",
      "47 2018-12-23 17:35:29              Massachusetts, USA   \n",
      "48 2018-12-24 16:56:32  Somewhere being a gud noodle⭐️   \n",
      "49 2018-12-25 01:17:13            The 1975 by The 1975   \n",
      "\n",
      "                                              message  \\\n",
      "0   Oh how badly I want to put in for an er becaus...   \n",
      "1   with this pain i am feeling right now i want t...   \n",
      "2   I am certain this is not a hill I want to be o...   \n",
      "3   Sorry there’s videos from last night of me sin...   \n",
      "4   @LoyalcompanyRV @Teresa_keeps @JayBallYeg You ...   \n",
      "5   O I’m at this wedding. And I am so fat. And ug...   \n",
      "6   But don't fret. I don't need to be rescued. I ...   \n",
      "7   @Redskins I will be a redskins fan until the d...   \n",
      "8   Hi it’s 4 am in the morning and i havent slept...   \n",
      "9   Monday @ 7:45 am - CBC North Radio 1 - I’m tal...   \n",
      "10  I'm listening to from here to eternity, and th...   \n",
      "11  @taylornation13 @netflix @netflix I AM GONNA D...   \n",
      "12  Back at the gym and let me tell you, I want to...   \n",
      "13  i am so tired and i don’t get off of work unti...   \n",
      "14  It is 4am and I am still awake and I want to d...   \n",
      "15  @trollarchjake @DwayneW67065573 @LaughingManPr...   \n",
      "16  Dead ass am dying. My stomach is TURNING I wan...   \n",
      "17  my Gucci baby @ like 5 am and I want to die (,...   \n",
      "18  Your not allowed to decide that you hurt me. I...   \n",
      "19  I just dey laugh give all of una. Real dictato...   \n",
      "20  @NorwayUN\\nhttps://t.co/n7VVkvqWkx\\nI don't wa...   \n",
      "21  I am SO hungover and I have two meetings today...   \n",
      "22  If I’m ordering a ride to work at 5:30 am I do...   \n",
      "23  If i was to die i want everyone to know that i...   \n",
      "24  People on twitter: i want to die, someone plzz...   \n",
      "25  @Lin_Manuel Dearest Lin--\\nIn this vein, I am ...   \n",
      "26  @AustinRBechtold @Pirates I just tweeted this ...   \n",
      "27  In 2019 when am extremely wealthy,oh good GOD ...   \n",
      "28  I’m really fucking scared to go into work tomo...   \n",
      "29  i am so afraid of how i will die, some days i ...   \n",
      "30  5-year old: I don't want my beautiful mommy TO...   \n",
      "31  I have to be at work at 5 am and I want to die...   \n",
      "32  @NevadaJack2 At times like this I’am glad age ...   \n",
      "33  I am absolutely appalled at the Tweets I’m rea...   \n",
      "34  If I want a 10mg edible, why am I forced to ea...   \n",
      "35  @BrainTumourFdn Thank you but I would rather s...   \n",
      "36  @miseryscript That‘s all fair. It‘s a part of ...   \n",
      "37  John 14:6 says \"I am the Way The Truth and the...   \n",
      "38  They got me starting at 5 AM Sunday and Monday...   \n",
      "39  I am so fed up with this day. forreal. I want ...   \n",
      "40  @TheSlyStallone I am 43yrs old &amp; grew up w...   \n",
      "41  @CNN About 70% of them are suicide I thought  ...   \n",
      "42  it’s literally almost 7 am and i want to die p...   \n",
      "43  I’ve thought about dying every single day this...   \n",
      "44           Do I actually want to die or am I PMSing   \n",
      "45  as much as my life is completely falling apart...   \n",
      "46  @LukePollard Yep but if you get into power?  S...   \n",
      "47  @altCourierSix No- not at all. Respectfully.\\n...   \n",
      "48  My cousin: “your not going hard enough🙄”\\nMe: ...   \n",
      "49  Yes tomorrow is Christmas and yes I am excited...   \n",
      "\n",
      "                                     full_name                      country  \\\n",
      "0                                 Florida, USA                United States   \n",
      "1                  Malolos City, Central Luzon  Republic of the Philippines   \n",
      "2                              Los Angeles, CA                United States   \n",
      "3                              Fingal, Ireland                      Ireland   \n",
      "4                            Edmonton, Alberta                       Canada   \n",
      "5                                  Houston, TX                United States   \n",
      "6       Caloocan City, National Capital Region  Republic of the Philippines   \n",
      "7                                Virginia, USA                United States   \n",
      "8                       Duren Sawit, Indonesia                    Indonesia   \n",
      "9                       Haines Junction, Yukon                       Canada   \n",
      "10                  Hamilton City, New Zealand                  New Zealand   \n",
      "11  Ciudad Autónoma de Buenos Aires, Argentina                    Argentina   \n",
      "12                                 Chicago, IL                United States   \n",
      "13                                Savannah, GA                United States   \n",
      "14                      East Midlands, England               United Kingdom   \n",
      "15                                 Atlanta, GA                United States   \n",
      "16                                   Ocala, FL                United States   \n",
      "17                                  Fresno, CA                United States   \n",
      "18                           Innisfil, Ontario                       Canada   \n",
      "19                              Ikeja, Nigeria                      Nigeria   \n",
      "20               Gangseo-gu, Republic of Korea            Republic of Korea   \n",
      "21                                Glenside, PA                United States   \n",
      "22                             Los Angeles, CA                United States   \n",
      "23                                Franklin, VA                United States   \n",
      "24                        Rawalpindi, Pakistan                     Pakistan   \n",
      "25                        Colorado Springs, CO                United States   \n",
      "26                         Downtown Pittsburgh                United States   \n",
      "27                              Ikeja, Nigeria                      Nigeria   \n",
      "28                               Henderson, NV                United States   \n",
      "29                          Black Mountain, NC                United States   \n",
      "30                               Westfield, MA                United States   \n",
      "31                                  Harlan, KY                United States   \n",
      "32                             California, USA                United States   \n",
      "33                        North Ridgeville, OH                United States   \n",
      "34               L'Isle-aux-Allumettes, Québec                       Canada   \n",
      "35                         Lethbridge, Alberta                       Canada   \n",
      "36                                 Raleigh, NC                United States   \n",
      "37                                 Oregon, USA                United States   \n",
      "38                                 Chicago, IL                United States   \n",
      "39                               Meadville, PA                United States   \n",
      "40                             Willimantic, CT                United States   \n",
      "41                               Oklahoma, USA                United States   \n",
      "42                                  Carson, CA                United States   \n",
      "43                            Lake Charles, LA                United States   \n",
      "44                              Boca Ciega, FL                United States   \n",
      "45                              Marysville, WA                United States   \n",
      "46                        Marsh Mills, England               United Kingdom   \n",
      "47                          Massachusetts, USA                United States   \n",
      "48                                 Phoenix, AZ                United States   \n",
      "49                        West Valley City, UT                United States   \n",
      "\n",
      "   country_code                  geo_code  \n",
      "0            US   [-83.804475, 27.698682]  \n",
      "1            PH   [120.815769, 14.824525]  \n",
      "2            US   [-118.411906, 34.02079]  \n",
      "3            IE     [-6.23572, 53.494598]  \n",
      "4            CA   [-113.492618, 53.55582]  \n",
      "5            US   [-95.446486, 29.838495]  \n",
      "6            PH   [121.031141, 14.710893]  \n",
      "7            US   [-79.420865, 38.003376]  \n",
      "8            ID   [106.932335, -6.239148]  \n",
      "9            CA  [-137.520686, 60.769976]  \n",
      "10           NZ  [175.264589, -37.772684]  \n",
      "11           AR  [-58.442643, -34.604315]  \n",
      "12           US   [-87.732013, 41.833584]  \n",
      "13           US   [-81.109616, 32.017285]  \n",
      "14           GB    [-0.838055, 52.796791]  \n",
      "15           US   [-84.433106, 33.767194]  \n",
      "16           US   [-82.160866, 29.120222]  \n",
      "17           US  [-119.782464, 36.786042]  \n",
      "18           CA    [-79.619824, 44.29355]  \n",
      "19           NG      [3.318066, 6.590611]  \n",
      "20           KR   [126.824416, 37.566201]  \n",
      "21           US   [-75.149658, 40.103131]  \n",
      "22           US   [-118.411906, 34.02079]  \n",
      "23           US   [-76.939634, 36.678101]  \n",
      "24           PK    [73.037945, 33.603096]  \n",
      "25           US  [-104.789327, 38.888518]  \n",
      "26           US   [-79.998921, 40.443259]  \n",
      "27           NG      [3.318066, 6.590611]  \n",
      "28           US  [-115.038337, 36.006256]  \n",
      "29           US   [-82.321127, 35.617675]  \n",
      "30           US   [-72.756704, 42.130942]  \n",
      "31           US   [-83.314596, 36.831298]  \n",
      "32           US  [-119.306608, 37.269176]  \n",
      "33           US   [-82.019612, 41.382464]  \n",
      "34           CA    [-77.069958, 45.85675]  \n",
      "35           CA   [-112.846358, 49.68838]  \n",
      "36           US   [-78.657837, 35.843981]  \n",
      "37           US  [-120.583402, 44.145436]  \n",
      "38           US   [-87.732013, 41.833584]  \n",
      "39           US   [-80.133226, 41.645636]  \n",
      "40           US   [-72.216786, 41.729384]  \n",
      "41           US   [-98.716992, 35.309046]  \n",
      "42           US  [-118.248062, 33.839612]  \n",
      "43           US   [-93.197723, 30.202771]  \n",
      "44           US    [-82.816561, 27.83836]  \n",
      "45           US  [-122.164527, 48.088757]  \n",
      "46           GB      [-4.063456, 50.3962]  \n",
      "47           US   [-71.683502, 42.036939]  \n",
      "48           US  [-112.124677, 33.552863]  \n",
      "49           US  [-111.997441, 40.678704]  \n"
     ]
    }
   ],
   "source": [
    "df_ment = pd.read_pickle('df_ment3.p')  # load from pickle\n",
    "print(df_ment)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tweets Preprocessing and Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    how badly want put for because hungover want d...\n",
       "1            with this pain feeling right now want die\n",
       "2    certain this not hill want much less die color...\n",
       "3    sorry there’ videos from last night singing lu...\n",
       "4    you may not believe but glad that you guys did...\n",
       "Name: message, dtype: object"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pre-process/clean tweets\n",
    "\n",
    "# remove unwanted characters, remove stop words\n",
    "# tokenize (split all the sentences in the dataset to get individual words (tokens) \n",
    "\n",
    "# Plan to update in the future\n",
    "\n",
    "# use nltk PorterStemmer() for stemming (for future, consider)\n",
    "\n",
    "# helper function to clean tweets\n",
    "def processTweet(tweet):\n",
    "    # Remove HTML special entities (e.g. &amp;)\n",
    "    tweet = re.sub(r'\\&\\w*;', '', tweet)\n",
    "    #Convert @username to AT_USER\n",
    "    tweet = re.sub('@[^\\s]+','',tweet)\n",
    "    # Remove tickers\n",
    "    tweet = re.sub(r'\\$\\w*', '', tweet)\n",
    "    # To lowercase\n",
    "    tweet = tweet.lower()\n",
    "    # Remove hyperlinks\n",
    "    tweet = re.sub(r'https?:\\/\\/.*\\/\\w*', '', tweet)\n",
    "    # Remove hashtags\n",
    "    tweet = re.sub(r'#\\w*', '', tweet)\n",
    "    # Remove Punctuation and split 's, 't, 've with a space for filter\n",
    "    tweet = re.sub(r'[' + punctuation.replace('@', '') + ']+', ' ', tweet)\n",
    "    # Remove words with 2 or fewer letters\n",
    "    tweet = re.sub(r'\\b\\w{1,2}\\b', '', tweet)\n",
    "    # Remove whitespace (including new line characters)\n",
    "    tweet = re.sub(r'\\s\\s+', ' ', tweet)\n",
    "    # Remove single space remaining at the front of the tweet.\n",
    "    tweet = tweet.lstrip(' ') \n",
    "    # Remove characters beyond Basic Multilingual Plane (BMP) of Unicode:\n",
    "    tweet = ''.join(c for c in tweet if c <= '\\uFFFF') \n",
    "    return tweet\n",
    "# ______________________________________________________________\n",
    "\n",
    "# clean dataframe's text column\n",
    "df_ment['message'] = df_ment['message'].apply(processTweet)\n",
    "# preview some cleaned tweets\n",
    "df_ment['message'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kfMGCBZGOsyetra3k5uamRE5vMtY0HeWL1S2U5KfzvVcXRZIRhoHy9RosOamSEVdOqmTElZMqGXHl6FgGXkZcOamSEVdOXMfSk4qKiqXuXnHaB7p7ZDcgE/gLcMtJ7p8CvHC6/ZSXl3sy1NbWpkxObzKOtbX77Nv/4pNvfcA3Nh6IJCMMA+XrNVhyUiUjrpxUyYgrJ1Uy4srRsQy8jLhyUiUjrpy4jqUnQK33os6NcnUOA34GrHH3/+6yvaTLw94IvBDVGKRvMtLTmFeqqxeKiIiInE6Uc6LnAu8Fru62nN1/mNlKM1sBVAGfinAM0kdVnZcAr1MRLSIiInIykS1x5+5PAtbDXQ9FlSn9N7+0CDN4emMLB4+0kZcd5SqIIiIiIoOTrlgorzAmP5sLJhRwtL2DxRuakz0cERERkQFJRbScoPPqhZrSISIiItIzFdFygquPrxfd0LmKioiIiIh0oSJaTnDuuBEU5meza+9h6l7an+zhiIiIiAw4KqLlBGlpdnyVjse11J2IiIjICVRES486LwFeo0uAi4iIiJxARbT06MqZhWSkGUu37mZv67FkD0dERERkQFERLT0akZNJxZRRtHc4i9apGy0iIiLSlYpoOamuq3SIiIiIyMtURMtJda4XXVPfSEeHlroTERER6aQiWk5qRnE+4wuG0XLwKMu370n2cEREREQGDBXRclJm9vKUjjrNixYRERHppCJaTqlqVrBetOZFi4iIiLxMRbSc0uXTCsnOSGPljr007D+c7OGIiIiIDAgqouWUhmWlc/n0MQAs1JQOEREREUBFtPTCy/OiNaVDREREBM6giDazUWY2O4rByMDUudTdE/VNHGvvSPJoRERERJKvV0W0mdWY2QgzGw0sB35hZv8d7dBkoJg4OpcZxfnsP9JG7ebdyR6OiIiISNL1thM90t33AW8CfuHu5cC10Q1LBpqqsmCVjhpN6RARERHpdRGdYWYlwNuAByIcjwxQnVM6HtdSdyIiIiK9LqK/AvwFWO/uz5rZNGBddMOSgaZiymjyszNY13CAbS2tyR6OiIiISFL1toje5e6z3f1jAO6+EdCc6CEkKyONK2cUAprSISIiItLbIvq7vdwmKUyXABcREREJZJzqTjO7HLgCKDKzW7rcNQJIj3JgMvBUJk4uXLyhicPH2snJ1I+AiIiIDE2n60RnAfkExfbwLrd9wFuiHZoMNMUjcjhv/AgOH+tgycbmZA9HREREJGlO2Yl294XAQjO70923xDQmGcCqyop5Ycc+atY2HF+xQ0RERGSo6e2c6Gwz+4mZPWxmj3feIh2ZDEhViXnRj9c14O5JHo2IiIhIcpyyE93FH4AfAf8DtEc3HBnoLphQwKjcTLa1HGJD40FmFOcne0giIiIisettJ7rN3X/o7s+4+9LO26k+wcwmmlm1ma0xs1Vm9g+J7aPN7BEzW5f4d1S/j0Jik55mzC8NTjCs1oVXREREZIjqbRG9wMw+ZmYliSJ4tJmNPs3ntAGfdvezgcuAj5vZOcDngMfcfSbwWOJjGUSqji91pyJaREREhqbeTue4KfHvZ7psc2DayT7B3XcBuxL/329ma4DxwOuBysTD7gJqgFt7PWJJuvmlRaQZPLOphf2HjzE8JzPZQxIRERGJlcVxcpiZTQEWAecBW929oMt9u939hCkdZnYzcDNASUlJ+YIFCyIfZ3etra3k5uamRE7YGV94vJm1zcf4zOUFXDYhJ5KMkxmMX69k5qRKRlw5qZIRV06qZMSVo2MZeBlx5aRKRlw5cR1LTyoqKpa6e8VpH+jup70B7+vp1svPzQeWAm9KfLyn2/27T7eP8vJyT4ba2tqUyQk743uPr/PJtz7gn/nDssgyTmYwfr2SmZMqGXHlpEpGXDmpkhFXjo5l4GXElZMqGXHlxHUsPQFqvRc1bm/nRF/c5XYVcDvwutN9kpllAv8H/Nrd70lsfsnMShL3lwCaWDsIda4RXV3XqKXuREREZMjp1Zxod/9k14/NbCTwq1N9jpkZ8DNgjbv/d5e77ieYY/2NxL9/7MuAZWA4u2Q4Z43I4cV9h1m1cx/njR+Z7CGJiIiIxKa3nejuWoGZp3nMXOC9wNVmtixxu4GgeL7OzNYB1yU+lkHGzKiapaXuREREZGjqVSfazBYQrMYBkA6cDfz+VJ/j7k8CdpK7r+ntAGXgqiwr5u5ntvF4XQOfvOZ0r6lEREREUkdvl7i7o8v/24At7r49gvHIIDJ3RiGZ6caybXtoOXg02cMRERERiU2vpnO4+0JgLTAcGAWoYhLyszO4dOoY3GFRfWOyhyMiIiISm14V0Wb2NuAZ4K3A24CnzewtUQ5MBofKsmBe9OOaFy0iIiJDSG9PLPwCcLG73+Tu7wMuAb4U3bBksLg6cQnwhfWNtGupOxERERkieltEp7l711Zjcx8+V1LY1MI8Jo/JZe+hY6xrPpbs4YiIiIjEoreF8J/N7C9m9n4zez/wIPBQdMOSwcLMjl94ZemuI0kejYiIiEg8TllEm9kMM5vr7p8BfgzMBi4AlgA/iWF8MghUJaZ0PKciWkRERIaI03WivwXsB3D3e9z9Fnf/FEEX+ltRD04Gh0unjmZYZjqb97bx4t7DyR6OiIiISOROV0RPcfcV3Te6ey0wJZIRyaCTk5nO3BljAHjPz57mG39ay9MbmznW3pHkkYmIiIhE43QXW8k5xX3DwhyIDG7vuWwyT65rZH3DAdY3HOBHCzcwPDuDq0oLqSwtZn5ZEWNHnOrHSURERGTwOF0R/ayZfcTdf9p1o5l9CFga3bBksKksK+bO1xXTNmoKNXUNVNc1sKHxIA+tfJGHVr4IwDklI6gsK6JqVjEXTiwgI10LvIiIiMjgdLoi+h+Be83s3bxcNFcAWcAboxyYDD6Z6cZlMwu5cmYhX7zxHLa1tFJT10BNXSOLNzSzetc+Vu/axw9qNjAiJ4OrZhZRWVbE/LIiioerSy0iIiKDxymLaHd/CbjCzKqA8xKbH3T3xyMfmQx6E0fn8t7Lp/Dey6dw+Fg7z2xqoaaukZr6BjY2HuTBlbt4cOUuAM4dN4KqsmIqy4qYoy61iIiIDHCn60QD4O7VQHXEY5EUlpOZzrzSIuaVFnEb57C1uZWa+s4udROrdu5j1c59fK96PSOHZXLVzEIqy4qZX1pE0fDsZA9fRERE5BV6VUSLhG3SmFzed/kU3pfoUj+9qeX41I9NTQd5YMUuHlgRdKnPHz+SyrIiKsuKmTOxIMkjFxEREVERLQNATmY680uLmF9axJdfC1uaD1JT10h1XQNLNjSzcsdeVu7Yy3cfX09BbiZzx2cybdZRRuVlJXvoIiIiMkSpiJYBZ/KYPG66Io+brgi61Es2NrMwUVRvaW7lwXXHePKOGv7x2pm857LJZGr+tIiIiMRM1YcMaDmZ6VSVFXP7685l4WeqePDvr2R2cRZ7Dx3jKwtW8+pvP0FNXUOyhykiIiJDjIpoGVTOHTeS2+aN4qfvq2DKmFzWNxzg/b94lvf/4hnWNxxI9vBERERkiFARLYOOmXHdOWP5y6fm8YUbzmZ4dgY1dY1c/61FfGXBKva2Hkv2EEVERCTFqYiWQSs7I52PzJtG9Wcqeeclk+hw5xdPbWb+HdX8cslm2to7kj1EERERSVEqomXQK8zP5t/edD4PfPIqLps2mj2tx7jtj6u44TtP8MS6xmQPT0RERFKQimhJGeeMG8HdH7mMH72nnEmjc6l/6QDv/dkzfPiuZ9nYqPnSIiIiEh4V0ZJSzIzrzzuLR26Zx63XzyIvK51H1zTwN99axL88sJq9hzRfWkRERPpPRbSkpOyMdD5aOZ3qz1Ty9oqJtHU4//PkJqruqOH//XWL5kuLiIhIv6iIlpRWPDyHf3/LbBZ84koumTKaloNH+eJ9L3Djd59k8fqmZA9PREREBikV0TIknDd+JL/728v4wbsvYsKoYax9cT/v+p+nufmXtWxuOpjs4YmIiMggE1kRbWY/N7MGM3uhy7bbzWyHmS1L3G6IKl+kOzPjhvNLePSW+Xzmb8rIzUrn4dUvcd03F/JvD61h32HNlxYREZHeibITfSdwfQ/bv+nucxK3hyLMF+lRTmY6H6+aQc0/VfKW8gkca3d+vGgjV99Rw93PbKW9w5M9RBERERngIiui3X0R0BLV/kX6q3hEDne89QLu/8RcKiaPounAUT5/z0pe+90nWdV4NNnDExERkQEsGXOiP2FmKxLTPUYlIV/kFWZPKOAPf3c5333nhYwvGMbqXfu4raaFH9ZswF1daRERETmRRVkkmNkU4AF3Py/x8VigCXDga0CJu3/wJJ97M3AzQElJSfmCBQsiG+fJtLa2kpubmxI5qZIRdc6RdueeNQf4vzUHceDaqcP4yEUjyEizSPJS5fuSCt/7VMuIKydVMuLK0bEMvIy4clIlI66cuI6lJxUVFUvdveK0D3T3yG7AFOCFvt7X/VZeXu7JUFtbmzI5qZIRV8737nvSy774kE++9QF/90//6nsPHY0kJ1W+L6n0vU+VjLhyUiUjrhwdy8DLiCsnVTLiyonrWHoC1Hov6tNYp3OYWUmXD98IvHCyx4ok02UTcvjtzZdTmJ/Fk+ubePMPFrOtpTXZwxIREZEBIsol7u4GlgBlZrbdzD4E/IeZrTSzFUAV8Kmo8kX6a87EAu792FxmFuezruEAb/zBYpZt25PsYYmIiMgAEOXqHO909xJ3z3T3Ce7+M3d/r7uf7+6z3f117r4rqnyRMEwcncv/fvQKrpxRSNOBI7zjJ0v48wv6sRURERnqdMVCkdMYOSyTX3zgYt5eMZHDxzr46K+f46eLNmrlDhERkSFMRbRIL2Smp/GNN5/PZ68vwx2+/tAavnjfC7S1dyR7aCIiIpIEKqJFesnM+FjlDL73rgvJykjj109v5UN31bJflwsXEREZclREi/TRjbPHcfdHLmN0XhYL6xt564+WsHPPoWQPS0RERGKkIlrkDJRPHsV9H5vL9KI81r64nzd8/ylWbt+b7GGJiIhITFREi5yhSWNyueejc7l82hga9h/hbT9ewiOrX0r2sERERCQGKqJF+mFkbiZ3ffAS3nzRBA4da+fmX9Xy8yc3aeUOERGRFKciWqSfsjLSuOOts/n0daW4w1cfWM3t96/Syh0iIiIpTEW0SAjMjE9eM5Nvv2MOWelp3LVkCx/5ZS0HjrQle2giIiISARXRIiF6/Zzx/PojlzIqN5Pqukbe9qMlvLj3cLKHJSIiIiFTES0SsounjOaej81lamEeq3ft4w3ff4pVO7Vyh4iISCpRES0SgamFedzz0Su4ZMpoXtx3mLf+aAmPr9XKHSIiIqlCRbRIREblZfGrD1/CG+aMo/VoOx++q5ZfLtmc7GGJiIhICFREi0QoOyOdb759Dv9wzUw6HG774yq+umA17R1aAk9ERGQwUxEtEjEz41PXlfJfb72AzHTj509t4m9/tZTWo1q5Q0REZLBSES0SkzeXT+BXH7qUkcMyeXTNS7ztx0tY3XhU60mLiIgMQiqiRWJ02bQx3POxK5g0OpcXduzjSzUtXPi1R/j4r5/j97XbaNin5fBEREQGg4xkD0BkqJlelM99H5/LD6rX89Dyrezc38aDK3fx4MpdAJw7bgSVZUVUlhVz4cQCMtL1WldERGSgUREtkgSj87L44o3n8OqSQxRNOZua+gaq1zawZGMzq3buY9XOfXy/egMjcjK4qrSIqrJi5pcWUTQ8O9lDFxEREVREiyTdpDG5vO/yKbzv8ikcPtbO05taqF7bwML6RjY1HeTBFbt4cEXQpT5v/AiqyoqpLCtizsRRpKdZkkcvIiIyNKmIFhlAcjLTmV9axPzSIgA2Nx2kpq6BmvpGlmxo5oUd+3hhxz6++/h6Rg7LZF5pEZWlRcwvK6IwX11qERGRuKiIFhnAphTm8f7Cqbx/7lQOH2tnycZmFtY1Ul3XwJbmVhYs38mC5TsBmD1hZKKgLmbOxAJ1qUVERCKkIlpkkMjJTKeqrJiqsmJu51w2JbrU1XWN/HVjMyu272XF9r185/H1FORmMm9mEZVlRRQc0RJ6IiIiYVMRLTJITS3MY2rhVD4wdyqHjrazZGPzCJqkAAAgAElEQVQTNYku9baWQ9y/fCf3L9+JAbOfe5LKxFzq2RPUpRYREekvFdEiKWBYVjpXzxrL1bPG4u5sbDpITV0jNXUNLNnQxPLte1m+fS/ffmwdo3IzmV8aLKE3r7SI0XlZyR6+iIjIoKMiWiTFmBnTi/KZXpTPh66cylNPP8vhEZOormugpq6R7bsPcd+yndy3bCdmcMGEguPrUs8eP5I0dalFREROS0W0SIrLyUhj7tljuebsoEu9oTGx4kddI89samHZtj0s27aHbz26jjF5WcGKH2VFzJtZxCh1qUVERHoUWRFtZj8HbgQa3P28xLbRwO+AKcBm4G3uvjuqMYjIK5kZM4rzmVGcz4evmsbBI20s2dB8vEu9Y88h7n1+B/c+v4M0gwsmFhxfl/q8cepSi4iIdIqyE30n8D3gl122fQ54zN2/YWafS3x8a4RjEJFTyMvO4NpzxnLtOUGXen3DgWAudX0Dz2xq4fmte3h+6x7++5F6CvM7u9TFzJtZSEGuutQiIjJ0RVZEu/siM5vSbfPrgcrE/+8CalARLTIgmBkzxw5n5tjhfGTeNA4caWPx+iZq6htZmOhS3/PcDu55LuhSXzhpFJWlRVTNKqbDPdnDFxERiVXcc6LHuvsuAHffZWbFMeeLSC/lZ2fwqnPP4lXnnoW7s67hQLAu9dpGare0sHTLbpZu2c1/PVJPToaR89DDkY4nzYyJ+fDa1o1UlhUzvSgPM00vERGR5DCPsIOU6EQ/0GVO9B53L+hy/253H3WSz70ZuBmgpKSkfMGCBZGN82RaW1vJzc1NiZxUyYgrR8dyaoeOdbCi4SjP7TrC8y8eoflQ/Bd0Kc5L56KzsrnwrCzOK84iJyMtlP0O1u9JsnJSJSOuHB3LwMuIKydVMuLKietYelJRUbHU3StO97i4i+g6oDLRhS4Baty97HT7qaio8Nra2sjGeTJLly6lvLw8JXJSJSOuHB1L77k7C/9aywWzL4gsA+BwWzu/fWwpW47msWhdEy0Hjx6/LysjjUunjj5+EuTUwjPvUqfC9yTOnFTJiCtHxzLwMuLKSZWMuHLiOpaemFmviui4p3PcD9wEfCPx7x9jzheRkJkZw7PSYlkOb97kYZSXX0h7h7Ni+57jF5RZsWMvT6xr4ol1TXz1AZg0OpeqxNrXl00bw7Cs9MjHJiIiQ0uUS9zdTXASYaGZbQe+TFA8/97MPgRsBd4aVb6IpK70NOPCSaO4cNIoPnVdKc0HjrBoXSPVaxtZtK6RrS2t3LVkC3ct2UJ2RhqXThtzvKieWpiX7OGLiEgKiHJ1jnee5K5rosoUkaFpTH42b7xwAm+8cALtHc7y7XuoWdtATX0jK7bvZVF9I4vqG/nKgtVMHpNLVVkx88uKuHzaGHIy1aUWEZG+0xULRSSlpKcZF00axUWTRnHLq8po3H+ERfWN1CQK6S3Nrdy5eDN3Lt5MdkYal08fQ2Vi/esp6lKLiEgvqYgWkZRWNDybN5dP4M3lE2hr7wi61HWN1NQ1snLH3uP/Z8FqphbmcXaBc2B4I5dOHa0utYiInJSKaBEZMjLS0yifPJryyaP59KvKaNh/mEX1TdTUNbCovpFNTQfZ1AQPrX+GnMw0Lp82hqpZxVSWFjNpTHKWWhIRkYFJRbSIDFnFw3N4S/kE3pLoUi/btoe7F65g7d50Vu3cR3VdI9V1jcAqphXlUVkaLKF3ibrUIiJDnopoERGCLnXFlNFY83DKy8tp2HeYhfXBVI9F6xrZ2HiQjY2b+PlTmxiWmc4V08dQmVjxY+JodalFRIYaFdEiIj0oHpHDWysm8taKibS1d/Dc1j3U1DVQU9fI6l37eGxtA4+tbQBWMb0oj8qyYqrKirl46iiyM9SlFhFJdSqiRUROIyM9jUumjuaSqaP57PWzeGnfYRbWNVJT38AT9U1saDzIhsZN/OzJTeRmpXPF9MJEl7qICaPUpRYRSUUqokVE+mjsiBzedvFE3nbxRI61d/Dclt3U1DdSvbaBtS/u59E1L/HompcAmFmcT2VZEVVlxVRMGU1WRlqSRy8iImFQES0i0g+Z6cEVES+dNoZbr5/Frr2Hgi51XSNPrm9iXcMB1jUc4KdPbCIvK50rZhQyLecQZ00/xPiCYckevoiInCEV0SIiISoZOYx3XDKJd1wyiaNtHSzdspua+gZq1jZS99J+HlkddKh//NzjlI7Np7IsWPGjYrK61CIig4mKaBGRiGQlroh4+fQxfP7VZ7NzzyEW1jdy71/rWdXURv1LB6h/6QA/WbSRvKx05s4oDNalLiuiZKS61CIiA5mKaBGRmIwrGMY7L5lEaXoj519wIbVbWhJXTGyg/qUDPLz6JR5OdKpnnTWc+WVFVJYWUzFlFJnp6lKLiAwkKqJFRJIgKyONK6YXcsX0Qv75hrPZsefQ8SX0nlrfxNoX97P2xf38eOFG8rMzuHJG4fF1qc8amZPs4YuIDHkqokVEBoDxBcN496WTefelkznS1k7t5t3Hi+p1DQf486oX+fOqF4GgS905l7p8srrUIiLJoCJaRGSAyc4I5kfPnVHIF14D23e3JqZ9vLJL/aOFGxiencGVM1/uUo8doS61iEgcVESLiAxwE0bl8p7LJvOey4Iu9bObgi51dV0DGxoP8qcXXuRPLwRd6rNLRgQFdWkR1uFJHrmISOpSES0iMohkZ6Rz5cxCrpxZyBdvPIdtLa3U1DdSs7aBxRuaWbNrH2t27eOHNRvIzTQq65cGUz9KiyhWl1pEJDQqokVEBrGJo3N572WTee9lkzl8rJ1nN7dQvTa4JPnGxoM8tPJFHloZdKnPHTfi+LSPCycWkKG51CIiZ0xFtIhIisjJTOeqmUVcNbOI2ziHBxc+TXPWWGrqGlm8oYlVO/exauc+vl+9gRE5GVxVGkz7mF9WRPFwdalFRPpCRbSISIo6Kz+D15RP4X2XT+HwsXae3tRCTV0DC+sa2dh0kAdX7OLBFbsAOG/8CCpLi6maVcSciaNIT7Mkj15EZGBTES0iMgTkZKYzv7SI+aVF8FrY0nyQmrpGqusaWLKhmRd27OOFHfv4XvV6Rg7LZF6XLnVhfnayhy8iMuCoiBYRGYImj8njpivyuOmKoEv9143Nx6+euLm5lQXLd7Jg+U4AZk8YSWVpEZWzirlgQoG61CIiqIgWERnycjLTExdvKQbOZVPTweMXevnrxmZWbN/Liu17+c7j6xmVm8lVM4uomlXEvJlFyR66iEjSqIgWEZFXmFqYx9TCqXxg7lQOHe3sUjdQXdfI1pZW7l++k/uX78QMphdk8pqWeirLipitLrWIDCEqokVE5KSGZaVTNauYqlnF3O6e6FIHc6mf3tTC+t3H+PZj6/j2Y+sYlZvJ/NJgCb15pUWMzstK9vBFRCKjIlpERHrFzJhWlM+0onw+eOVUWo+28f8efpptbSOpqW9gW8sh7lu2k/uWBV3qCyYUHF+Xevb4kaSpSy0iKURFtIiInJHcrAzKS3K4ufw83J2NTQepXtvAwvpGnt7YwrJte1i2bQ/fenQdY/KyghU/yoK51KPUpRaRQU5FtIiI9JuZMb0on+lF+Xz4qmm0Hm1j8fpmauobqF7byI49h7j3+R3c+/wO0gwumFhwfF3q88apSy0ig09Simgz2wzsB9qBNnevSMY4REQkGrlZGVx7zliuPWcs7s6GxgOJJfQaeXpTM89v3cPzW/fwzUfrKczPYt7MYAm9eTMLKchVl1pEBr5kdqKr3L0pifkiIhIDM2NG8XBmFA/nw1dN4+CRNhZvaD6+jN6OPYe45/kd3JPoUs+ZWEBVYsm9c8eNSPbwRUR6pOkcIiISq7zsDK47ZyzXJbrU6xsOHF/x49nNLTy3dQ/Pbd3Dfz1ST2F+NrNGGZO3rox8XI2NeymKOCeOjLhyrPUAw0r2cXbJcMw0HUeGHnP3+EPNNgG7AQd+7O4/6eExNwM3A5SUlJQvWLAg3kECra2t5ObmpkROqmTElaNjGXgZceWkSkZcOWFnHDrWwcqGozz34hGe33WEpkMdoe1bojE6J40LS7K58KxsZo/NIi8zLbR963dl4GXElRPXsfSkoqJiaW+mGieriB7n7jvNrBh4BPikuy862eMrKiq8trY2vgEmLF26lPLy8pTISZWMuHJ0LAMvI66cVMmIKyfKDHdnXcMB7lm0jPETJ0WS0dXWrVuZNCnanDgy4shxd2qWb+SF5g4a9h85vj0jzSifPIrKsuCk0bKx/etS63dl4GXElRPXsfTEzHpVRCdlOoe770z822Bm9wKXACctokVEZOgxM0rHDue6abmUl0+OPG9pZlPkOXFkxJVzblYzF110Eat37aOmrpGFdY0s3bqbpze18PSmFv79z2spGZlDZVkR80uLmTtjDMNzMiMdk0icYi+izSwPSHP3/Yn/vwr4atzjEBERkf4xM84dN5Jzx43k41Uz2HvoGE+uawpOGq1vZNfew9z9zDbufmYbGWnGxVNGH78AT+nYfM2llkEtGZ3oscC9iV+cDOA37v7nJIxDREREQjRyWCavmV3Ca2aX0NHhiS51sArLc1t3s2RjM0s2NvNvf1rLuJE5zC8rprKsiLkzCsnP1loHMrjE/hPr7huBC+LOFRERkfikpRnnjR/JeeNH8omrZ7Kn9ShPrGsKpn7UN7Jz72HufmYrdz+zlcz0oEtdlSiqZxSrSy0Dn172iYiISOQKcrN47QXjeO0F4+jocFbtDLrU1XUNLNu2h8Ubmlm8oZmvP7SG8QXDmF9WRDGHaMzeFfnYNmw/HHlOHBlbdx1hxqFjjBymuedxUBEtIiIisUpLM86fMJLzJ4zkk9fMZPfBozyxvomatQ0srA8uwPObp7cGD376uXgGtSSGnBgy/n3xI1w0qYDKRFf/nJIR6upHREW0iIiIJNWovCxed8E4XpfoUq/csZeaukYWr9lCQUFB5Pl79uyJPCeOjK0vtVDf0sazm3fz7Obd/Odf6igenn38ZM4rZxYyQiukhEZFtIiIiAwYaWnGBRMLuGBiAVeO2qd1j/uYMfPc2Ty1ronqxAmdDfuP8Pva7fy+djvpx9fxLqKqrJhZZ+lqk/2hIlpEREQkRYzIyeTV55fw6vNLcHfW7NpPdV3D8XW8n9nUwjObWviPP9dx1ogc5pcWUTUrWCFF63j3jYpoERERkRRkZpwzbgTnjBvR4zreL+47zO9qt/G72m3HrzZZNSuYS93fq00OBSqiRURERIaArut4uwcrpCysb6SmroGlW16+2uQ3/vTKq01eOVPrePdEXxERERGRIcbs5XW8P141g72tx3hifSM1dcGt69UmM9ONiskvX22y9VgH+w8fi3R8rcc66Ohw0tIGbjdcRbSIiIjIEDcyN5MbZ4/jxtnjXnG1yeq6Rp7vdrVJAO57OPIxLZ51mHEFwyLPOVMqokVERETkuJNdbbK6roHF65vZ23qE9PT0SMfQ3t7OQJ+SrSJaRERERE6q69UmIb7l+kpGDtwuNEBasgcgIiIiIjLYqIgWEREREekjFdEiIiIiIn2kIlpEREREpI9URIuIiIiI9JGKaBERERGRPlIRLSIiIiLSRyqiRURERET6SEW0iIiIiEgfqYgWEREREekjc/dkj+G0zKwR2JKE6EKgKUVyUiUjrhwdy8DLiCsnVTLiykmVjLhydCwDLyOunFTJiCsnrmPpyWR3LzrdgwZFEZ0sZlbr7hWpkJMqGXHl6FgGXkZcOamSEVdOqmTElaNjGXgZceWkSkZcOXEdS39oOoeIiIiISB+piBYRERER6SMV0af2kxTKSZWMuHJ0LAMvI66cVMmIKydVMuLK0bEMvIy4clIlI66cuI7ljGlOtIiIiIhIH6kTLSIiIiLSRyqiRURERET6SEW0iIiIiEgfqYgWkT4zs3kn2X5V3GORgJn1eBKOmf0w7rFI/OL4nTSzYSfZPiGsDJHBRCcWdmFmP3H3m3vY/kN3/2g/993jH7ju3H1Rf3K6ZaYDlwIT3f13ZpYbRPihEDPeA9wEjHX32YnjLHT3e8LKkL4zsynuvrmH7ZPdvd9X/zSzfe4+ooftLe4+ur/777bPicAcYHjX7e7+mxAz3uvuv+ph+7vd/ddh5XTZbyXQ5u5PhrjPk31Pmt19TAj7/xLwR3df0d999TKv3N2XRpyRBrwNuJgTf75OeC4YyOL4nTSzBcDrvEvhYGbFwEJ3P7uf+x7Xm8e5+87+5IiESUV0F1E+CZnZsW6b0gDr8rED7e6e1Z+cLnnTgQeAEiDD3fPN7A3AW9z9PSFl3AJ8HPg+cJu7F5jZ2cAv3P2yMDJOk/8Dd/9YP/fRAdwDfN7d14UzspNmrSP4Pp/A3UtDzor0CdXM9rv78G7bhgOb3L2wv/vvss+bge8Be4CDXe5yd58WYk7UX6+Hga+7+0Iz+wfg34B2gt+bb/Zz31ck/vswcB2v/LsyE/iau0/qT0YiZzMwFviZu3+iv/vrRd5e4BhQDTwKPOruG0LO+CnwOqAGaO16n7t/IOSsSJsacfxOmtl9wPbO77+ZFRB8fx5390/3c98dnOTvY+dDCL5e6f3J6SF3HDDJ3f8a5n67ZVwJvA8ocffXmlk5kNefppmZbeLUXy8AQv47GfpxnCQnh+BvV/cXtovDzAlDRrIHMBB0eRJKM7PLOfFJ6OCJn9U37p7ZJe99wOuBW4FNwDTgX4H7+5vTxXeB3wJfA5oT22qAb4eY8VHg1e5en+hSAdQDM0LMOJUpIezjg0Ap8HWCjlSU/qXbx+OBDwP/E0GWnbDBLJNe/NE95U5ffiEwzMzqu91dDDzSn/334EvA29393pD3211PX68pQFtI+58DdD4BfAR4FcELg/uAfhXRQGc324Gnumx3YBfwhX7uP9iZ+xQzywMuDGN/vTAauAy4Bng38G0z2wU8EmKX+C3AbHffFtL+etS9qQH8juBn4C1Av5oaMf9OvguoMbN/An4A/Al4tr8FdMLUEPbRa4kO+m+AqwleQOWb2duB+f1tznTLeRfB8/Gvgc53pB34KlDZj11/scv/pwEfA37GyzXFBwi+R6GI8Di657wOuAsY2e0uB0J9ARUGdaI5/goYgm9S9+7wLuAL7n5XiHmbCP5w7++ybQSw3N1D+UNiZk3AWe7e1rWbZmZ73b37D+eZZhzv0HdmmFkGsMvdi8LISHVmdj5wh7v/TUj7e4Tg57aS4EVTV5OAbe5+XT/2fxPB78gPgb/rclcH8CJBR6r9TPffQ95udx8V1v562P8xXv7j3H3c6cAP3P2TIeTsSbxTMxZY6e7Fie09dsDPMGOZu88JY18DjZldALwR+EdgmLtnh7TfdcD57n44jP2dIuch4GkSTQ13H5Xo4i5398n93Hfcv5NjCV4QHiT4WX53WPuOk5n9FtgPfA5Yn/ieFAFL3D20RpCZrQJucvfazr9nZpYF7AjredLMFgG3uHttl20XAd9y915NJe1FRuTHkchZR/Du9k/cvfV0j082daIBd0+DWJ+ERgA5BL/AnXI48ZVXf+wDCoCmzg2Jt61eCjFjtZnd6O4PdNl2PbA8xIxUtwq4PMT9dXYl5/PKrmTnE+of+rPzzheTZrY2yrc/u/iDmb3G3R+MaP/XEhQgDwGv7rK9A3gxxCk+GxPFznTgcQAzGwOEVrx1/9uVeEu0w92PhpXRZd9xzFO/iWB6yjUEf8ceA97LiS8O++NLwLfM7J/dvSXE/XZ3CcFc4g4zcwB335MopPsl6t/JRAeyu98SdDr/0nl/f7/3J8k5QYg/Y1XAZHc/3OV70pgopMM0rktx29m1bCPcruocYFm3bSsS28MSx3FAcH7Vt0LeZ2RURHcRYxfnAeBeM/sisIVgWsJXgAUhZtwD/NzMPgbHn7C/RfDHLyz/DDxoZr8Hss3su8A7gBtDzDgpM5vr7k+d/pEDQw8nzuQRTCfZGlaGu38lkbXG3X8f1n57yPlrYo7nTKCILu/ghDw/Lgf4vZk9TvCuUNcx9PstfXdfCMHb7e6+63SP74fPErxFeYRgKhfAa4Bnwwows38B7nf3Z8zsOuCPQIeZvcndHw4x56Tz1AneHg/LL4B1wN8D94TZTe1iFcE0q4+Y2Sv2H9b5KQlxNDXSukxNfIV+ziX9+km2HyF43oJwvvcny+kqzJ+xI3SrgcxsNBD2i6kNZnZFt+/BFUBdiBl1wKeA/+yy7R8JpleGJY7jAHjYzC6LqUnTb5rO0YWZGUERWEGEZ2qbWT7B3OR3AdnAUYI/DP/QdYpHPzOGEcyPekdiU+cfn4+E+dalmZ1L8BbiVIIXBD9w91Vh7f802SecSDOQ9XDijAGbCd4ieyKCvHyCQm0iQaH+kLsfCGnfFxG8UJvEy9OgQj05NpHzi5PdF+aJX6fqgoXZXe2WmZnYf/eTjs90f9uAc919X+Lt3T8QFG+fcPeLw8jokvP3Uc9TN7NrCLrQ1xK8WHuCYH7vI+6+NqSM5QQdu99w4omFC8PISOTcQXDuxccSeTMJpl+sdffbQsro6GFzZ4d1wM0lTTYz+x+CKVyfAF5KTEf8DpAW5omzFpzQ/1OC5/xbgdsJCtyb3f1PIWVcQvBu2gGC5+HJQD7wGnd/OqSMyI7DzP65y4ejCU5e/B0nNk7+tT85UVAR3YWZ/Qh4K8Hbhq84mTDMJ+wueUbQxWv0iL4RZlZI0One4u6NUWQki5lNjPqEoDCZWfe5jwfcvbnHB/c/61yCgqOdoFCfQvC226vc/YUQ9r8IWArcRlCgTwT+A3gyqqIzSonzFLoqJuhS7Qjz7PYodZ7vkDj5bycwJnFORKjzyqOep36SzAKCYuefgOFhFYVmth8oiKjL3TUnlqZGt8xxBF32BzyEJUcT57s0E7zdHvUcciM46foaTnyn6+qQMkYTnNh7EcE7XgcIpkS8wd33hJHRJes6gndUOptN33L3UE/CTpxX9VqCE9Z3EHzf94acEclxmFl1Lx7mYX3vw6QiugszawYu8ZCXUUplccyNlL5LnGD4JPBVd/fEk9IXgUp3vyaE/e8mOHH1SJeT5vKBZWGelJPIiqyjforMDIK3lze7+xldrMReeUJv5wmMJwirc29mG4EbgPMIukOvShRvO0Muon9CsF50VPPUO3POIuhCX0tQTBUCSwg60f8WUsbjwN+5e5hve58qbwyJAiSOpoYFS9w95+4zQ9rfBmBOWO+YniLnXwmmuv2KoHv/A4L58L9x91tCzqog0WgCaqNqaElqUhHdReJtymlhvb16ipxSgqViepo2csZPqGb2R3d/feL/nas0nMDdX3WmGd3yYlnDN1UkCtlbCDosE4FtBMvbfdPde3ortj9ZTQRreR7rsi2T4GS5MC680UCw3u0RM9tCcLGKvQQrD+T3d/9dciLtqJ8mO4vgrP0zWmPZzK70xMVUzGz+yR4X1rQBM/t7gvWnAd7t7veZ2d8AX3b3HufKnmHOL4E3E5wgGfo89S45bQQnKT9GsE70orA7oGb2BYK3jn/CiccS5kmSN7j7Qz1s/6y7/0dYOT3svxDY4OGtyPQegpPHb3X3HWHs8yQ5m4HXu/tye3kliMuAz7r7m0LKOP77GbYezn/pkffjwjHdpkCcKiOUKRBmNpdgjfAtiZMv/5PgxMLPuXvTqT+7TzlXEDxPbeyybRpB02bArROtIroLM/skwdu4t0X5atTMFgPbgTs5cdrIGT+hmtnnOzs0Zvblkz3OEyef9VdccyNPkb/S3c9PRvaZSDxhfxD4d2ADwUoNnwXudPfua0j3N2sDcL13WV3CzGYCD3sIyyia2Z+A77v7A2Z2F3AWwZzSsSEXbJF21E+TPYWgixfqFRijlPget7n7psTHpUBWmC84YpynPiaq6U5dMrpP4+kUaiPAzHYCN7j7si7bPgr8s7tPDCmje1GVR3AS61p3f0tIGccIXsQ6wQo2x58nw3pHJZFzfOnHRENgrLu3hzmVKDGVZxfwc+CX/Sloe9h35BeOiXsKhJmtAN7k7usTfwMmEKwu1Orubw8jI5GzkmBKzYYu26YD9w3E53sV0V1YsD7hZIJioKHrfR7iFeXMbB/BfMVQO95m1quOmbuHshpEMuZGdss//qJhMDCz9cCN3uWkKDMrA/4UdufezG4juIjDNwgW359KULDfHcaLKDMbT3ACzrbEW9TfIHhX5cvuHtrZ2lF31Lvs8yfdNuURTCG4P6zuqqY+9V23qTzbgAejnsoTBTO7HvgxMNfdtyc6uncQvBgM6yTJ7kXVAaCW4J2ufSFlRP6OSiJnDfA37r7VzJ4huKBHE8HvY3FIGXkEF9h6P8Eyo48SFNR/7O9zs514/kuP3H1Lf3J6yB1L4nfF3cNc+eX4832ikdEAnEtQK20M63uSyDnZ1WNDW1M/TCqiu7BgXdIeebgXW3kGeGPYb4f14tUvEN6Z2nHNjUwVZtZC0FHpXhC+FHa304Ll5z5L8ATRWYDcCfynu4d1Fb7IRd1R77LP7t3VzgLk12F8veKY+mTxXlY+8nnqcU7l6VJ8bHX3htM9/gwz/pbg5Mg7ErdXufvzUWQNdompSdvc/V4zeyfB3GgjeJEe6rt2ibzpwE0EU3tywywK42DBibe/IjgnotNDBCs/hbJkX6KhMRE4G7jL3c83szRgr4e4Slbib35V12Zf4kXJQnefElZOWFREJ0HibbybCFYzeLHrff2Z85PoDna6nqCA+govXwb0iwQ//D/vR0bXjl0OMcyNTBVm9hjwWNc5amb2eeC6sN5y6yFzOMHFfbq+7RrK25ZxdFaj7qh3y8onWON8AsF0qwc9vCUnI5/61EMT4Phl5cOaF5nIiaW4jWMqj5mN4pXFhxNy8dEt7xvAxwm+Vksi2L8RXNil88XNs2FPTTSzN9PtvA53/78wM3rInADkh9W172H/hQQnLn6Q4LyovJD3/3aCi9N0/lBwz/oAABEKSURBVG25091Du2aDmd1JcOLtLbw8VfAOoMXd3x9Sxu+BYcAYguexL5nZLGCBh3TiaiLnDoJzbP6WYJ34mQQnli7zkE8qDYOK6G4Sb01fzInL6vwyxIyTnUTWrzlS3TLWAvO6dlUS3ZaF7j6rH/vt2rHrfpn049vd/YNnmpGqzGw28DDBIv+bCaYO5RA8oa4IOetygs5z15Uy+j0Pr8v+YzmpNK6OugVn6D8IHEpkTCJ4wrjBu1xKtx/7T8rUJwv5svKJfcYyTz2OqTxRFh8neWcgjeC8m+PNk7DeJUi8qF1A0ClsSOSs+f/t3XmUnXV9x/H3B4iGPSwWwbLIIloWbRChat0AFRFPi6UHPB5BZavGU5QKPQWpFqnSgoBUlphjBSkpslQjAgKWHASKgDaAgJXFQDAUSSUYJEaBb//4/oZ5cjMzMDO/5y6Tz+scDneembnfJ5PJc3/393wXclJirRS+I8ji1fMY/nkdAZwQEefWiNEt5dqyH7lwfjfZsvPrwL/XevNc4hxH/n7NZvhN5+Fkms0plWIsBl4TjZZ25Q3iPRGxeaUYM4BPk3Mt/ikilkt6L7BdRJxZI0aJsy6ZVnMgw/9+LgU+EhG/GfUbe8SL6AZJewOXkb8kM8gFwgzg57Vvh7ZN0lLgD5u3WMuu5KKImPSo2fJ890bEa0Y4PlAFf91SXuSeZNUczyr5ih2x7iRz/OawavHqpPPw2txZHSO3f2igC1Avt7/EvBW4rPmiJulY4MCoMKikV6lP5Xbr0pq5hF3MU289lafNxcdY6YFNtVIFJV1O9nE+OiJ+U+6snEamkP1ZpRj3AB+OxgAP5aCP80d6Lehnkh4Dfg9cCPxrVKzl6IjzMFko9+PGsT8m87trFZUuBl7dfC2RtCFZVFplEd1tkv6A3GhaGH0848KL6AZJt5O3iU9rJNGfSA7F+FLFOKM1ko+KtynnkReIY8jbeluT6SPTI2L/SjFGKwB4vj+uDVNWtl9DLmznRYsDHpSV5xvUvpXbeP7Wdla7ndtfYi4DNmrubit7RT8x0Xy/bqc+afSx8vtHxM41YpQ43cpTbz2VZyotPpRtJ7eOiOWNY+uQi5BaxXhLgY2j0ZKz7Ogu6cWdlsmQtB9Z1F21vegIcZaQ7dk6ry3/GxGbVopxAbAhOfp7IbnbfRqwLCI+VCnGqC31aqaLDZq1XvhLVis7AGeUx0ML21PIvJxqi2hyiMNQI/n9aTSSrxjj8PJ8DzK8IJlPjhqflMY/pmkj/MPanpyWZKt6NfBRskf42eVW8pxoZ7jPD4EdgVZyCIFLJO3X0s5qc3dm1Nz+yjEXkENKFjSO7dLx8XhNazx+BvjmCMdrvsl5hFVTrB4i6y9qOh/4bsnvbS5uv145zsnkRsBxdKTyVIxxHfANSZ2LjxpT2PYY2rFV9r4dUdTrfftbciG1vHFsQ/LOai0/Jd/YNNMbDwa6Mqympi7eFbqAXNw2f2+Ppu417Gjy9f5+hq8p15CbdbXs0/HxFuS//RuBmjUXXSuQrsE70Q2SHiXze54eqhAFniAnftWsPl1Iy43kG7G2IIsZfhGVuoFouJXSnwI/aHzqOTLX7/QaeaRTVbnFPpSLty95EfoqmU5QJc+3FCx+GDiXVYtXJ/Rmrds7qyVmK7n95Xmabyi3IwtZ5pALz23Iv5/ZEXHSZOKUWK2nPqlLY+W7lafeiNdmcezG5OLjnay8+PjgZH92kpYNvW50qQ7mTLKo8HiG39ycRE7h++tKMd4KXEXmDz9YYuxG1g5Ua3HXDaWY8EyG7wg/r/JdruuAtwCLyWvL1sDm5Gvn878XUWEImqTNGW5x9+gLfX2FeLOAl0XEqHMpJvCcXSmQrsWL6AZJl5ELmYsknUUuEleQLVyqTPkrcVpvJN8Nks6KiE/0+jwGkaTpZI/SY8gXoiXkDuVhEfG9Cs9ffYiEelBU2mZu/xg/o6YJ/7w6YrWS+iTpbyLi1PJ4rAlmvyN3qeZN5PZ1j/LUWy2O7YjV1cVHG5Qj3s8g72pOJ1+7LiBzpJeP9b3jiLEGWXR7MMNvoOZGxMIaz99NkuaSi9l/BuaSf6a/Bb4ZEWdVjPOiFpi1UpS6qbyhXhwRm7Ucp3qBdC1eRDeUQoznyk70dHKBsz7wpajYO1RdaCRv/UnSbuS76oPI6vavkr2In1IOYDglIl4x1nP0g24VlXYjt79NjYXtZ8hdwabtgd0n8/OSdGVEvKc8HmuC2Zol3vyIGHdKV4/y1Nsujl2LLMTbLCqPEy/P/2LGMkdUHhhVam5eBjxeuyaivKm9nvx7ua6tYrxuKIWFu0TELyUtjYgZ5c3ipRHxhl6f3yCQNBO4uu11i1ookK7FOdErewS4vtx+uTYiTm4pzjnkLbCHgdOBb5E7LNVuiVj/kbSAzOm9mOwNvVLKS0RcKKlm7n2bRlvo134D0Fpuf5cM5RFOY+WcwqHUp0mNyR5aQJfHbx/ra4d28CcYqhd56q8EjmmrODYinil3AqeR+cS1deaQjngaZMu4KsoCeg8yhW+RpFsr//zeRaY/vB84tfz8hl4vB23y5jRgqOvDcknrlo2tSaWJjUTZmekDDO/eXxQRE/232BPK1pbN36V1gZlkDUHNOKMVSFe7y1WTd6IbJO1BXiD2JseAduUCoZYbyVt/kHQUuetcrQdpt7W9szpG3Oq5/d3UL6lPkl4XEZMplmw1T70jznXArDavi+Xuz7uB4wbx96pJOXVvHpnf/zi5G/0AWX9zfwvx1iUL2j4NrF87xaZtkm4BPh4RP5J0NZnn/SRweNQdHvJm4GrgTvLvY1vgtcC+EfGDsb63n4yQlvIUmW9fNRe+cddrlQLpiLihZqwavIgexaBfIMza4KJSazlPvXmHYWsqF8eOEO/3ZKpLkL/Dzfzul9SI0S3Kiaj3kAXqy5Xt7b5IpiyMeZdiHDG2ITeZ9iEL7xcD3ydTO66qEaNbJL0DWBERN5U0u7lkAevhEfGdinFuJovivtY4dihwVETsWSvOVNGtAulavIhumEoXCLM29cvOqnVfm3nq3Sj2lHRblAE6kuYzShrdAHab+DXZKWFF49h04LGI2LBSjOfIlq8nkz2W+3YIxotV3gCu1H2rVveX8vxPAJvE1OitvSbZCrhzonO1HeKS//yX5OTozr+Xap2fanFO9MoeZPgCMWsqXCDM2uAF9GqttTz1qDisZQw7SFLJFZ45aIvlMTxA9u5tvhHp/HiyTiZTHs8Cbi55stdGxF0VY3SFsq3s+azc/WVIzTvPj5G5w807dDPJ0ewDoxQRXk52ZxlKtwjgWaDmXZvzgPeR15SnKz5vK7wT3SDpJPICsRNwM9lwfyAvEGZmbRrUPHVJ3wPWAe4lB9GMWBDZj7tenbTyEJfdyTc4pzLc6/yTZCrBlyvHXZ+8W7sPOXxleUR0FoT1tba7vzTi/BVZhHsew721jwQ+FxFn14rTNkk3kHnjJ5J3oLYk70DdWLNmrOzc7zoohZdeRI9gKlwgzMxsVZI2Ao4iC7wOAf5tpK+LiEl1TukGjT7EpalqX+1SCL93+W8vMo/4xn7s4TsWScuADdrq/tIR62A6hhNFxNy249ZUFrcvj4gVjZaA6wELImKk3fyJxrmPzONvo2NOdV5Ed5gqFwgzMxubpHkR8b5en8egKJ1ZtgP+m9Irmnx9rDlavCu60f1lKpH0S2DLsoh+iLzz8STwfxGxXsU4BwFvA/4uIn5V63nb4kV0w1S6QJiZ2eqj9Ig+jOEx1kOFXxERe1WKcQDwnxGxtMbzdVu3u7804m5LDtjaIiJmSXoVMC0i7q4Zp02SrgK+EhFXSDofeDmZs7xZRLxx7O8eV5xdgP8g016ebX6uHzvmeBHdMOgXCDMzWz1J+kdyKMU3gI8BZ5MjwC+KiE/18tz6RTe6v4wQcx+yIO964G0RsYGkNwEnRMS+teK0TdIrgDUiYpGkTcghQRsAf19zcqWkO8ie2hfRUVjYj0XAXkSbmZkNOEkLycEqd0h6IiI2Kh0ojo2IA3p8eqstST8Cjo+Iqxt/L2sDCyNis16fX78pueozIuLZF/ziPrBGr0/AzMzMJm3jiLijPH5W0poRcQtZJG+9s11EXF0eB0BELCfHjg8MSSd1dINB0hslfa5yqNvItNqB4D7RZmZmg+8XkraKiIfJVmr7SlpCDsax3lkkaeeI+MnQAUmvBRb27pQm5KPAKR3H7gIuYZSBRRP0feA7kmYDjzY/UTtXvQYvos3MzAbfOcBuZA/f04FvkcWFNRc4Nn5fBi6X9A/AmpLeD3yW7LE8SNZh1eEnTwPVOnMUh5X/z+o4HmSedF9xTrSZmdkUU9q1rucWbr0n6QjgE2THiYXAGRExp6cnNU6SbgNOjIirGsfeBXwhImb27sx6yzvRZmZmU0xEPNLrc7DnXQQsIyd8LgK+29vTmZAvABdLOgf4GbADObTosDG/a4rzTrSZmZlZCyS9HriSTH1YBGwFrA28JyJu7+W5jZekfck0i23IHfWvRMSVvTynXvMi2szMzKwFkm4FLouIUxrHjgUOjIjde3dmVoMX0WZmZmYtKH2PN4qIZxrH1gKeiIj1e3dm4zfC5MUdgbUGafJibe4TbWZmZtaOBcDOHcd2KccHRpm8eAewJ/ChcnhT4NSenVQf8E60mZmZWQskfQY4EpgDPETmE38EmA08MPR1/dgDucmTF0fmRbSZmZlZCyT9/EV8WUTEtq2fzCRIWhoRM8rjX0XExp2PV0ducWdmZmbWgoh4Za/PoZKpMnmxKudEm5mZmdlYhiYvfpDhyYsXktMxV1tO5zAzMzOzMU2FyYu1OZ3DzMzMzF7IVJi8WJV3os3MzMxsVFNp8mJNXkSbmZmZ2ag8eXFkXkSbmZmZ2aim0uTFmtydw8zMzMzGMiUmL9bmwkIzMzMzW4mkDzQ+vAa4QtJIkxdXW07nMDMzM7OVTJVpi23yItrMzMzMbJycE21mZmZmNk5eRJuZmZmZjZMX0WZmfULS8ZLulnSnpAWS9mgx1vwyQMHMzCbA3TnMzPqApD8B3gvMjIgVkjYFXtLj0zIzs1F4J9rMrD9sDiyJiBUAEbEkIhZLOlHSbZJ+Imm2JMHzO8mnS7pB0r2Sdpd0uaT7JH2+fM02kn4q6fyyu32ppHU6A0t6p6T/kvRjSZdIWq8c/6Kke8r3ntrFn4WZWd/zItrMrD9cA2wp6WeSzpb01nL8XyJi94jYGVib3K0e8ruIeAtwLvBt4OPkQIRDJW1SvmZHYHZE7Ar8GvhYM2jZ8T4B2DsiZgK3A5+StDHw58BO5Xs/38Kf2cxsYHkRbWbWByLiKWA34AjgceBiSYcCb5f0Q0l3Ae8Admp827zy/7uAuyPi0bKT/SCwZfncooi4qTy+EHhzR+g9gT8CbpK0ADgE2JpccP8WmCPpAODpan9YM7MpwDnRZmZ9IiKeBeYD88ui+UhgV+D1EbFI0meB6Y1vWVH+/1zj8dDHQ9f3zmEAnR8LuDYiDu48H0lvAPYCDgJmkYt4MzPDO9FmZn1B0o6Sdmgceh3wP+XxkpKn/BcTeOqtStEiwMHAjR2fvwV4k6Tty3msI+lVJd6GEXElcHQ5HzMzK7wTbWbWH9YDzpI0A3gGuJ9M7VhKpmssBG6bwPPeCxwi6TzgPuCc5icj4vGSNjJX0kvL4ROAZcC3JU0nd6s/OYHYZmZTlsd+m5lNUZK2Aa4oRYlmZlaR0znMzMzMzMbJO9FmZmZmZuPknWgzMzMzs3HyItrMzMzMbJy8iDYzMzMzGycvos3MzMzMxsmLaDMzMzOzcfIi2szMzMxsnP4flFYoi0XBsosAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Word Rank')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# most common words in twitter dataset\n",
    "all_words = []\n",
    "for line in list(df_ment['message']):\n",
    "    words = line.split()\n",
    "    for word in words:\n",
    "        all_words.append(word.lower())\n",
    "\n",
    "# plot word frequency distribution of first few words\n",
    "plt.figure(figsize=(12,5))\n",
    "plt.xticks(fontsize=13, rotation=90)\n",
    "fd = nltk.FreqDist(all_words)\n",
    "fd.plot(25,cumulative=False)\n",
    "\n",
    "# log-log of all words \n",
    "word_counts = sorted(Counter(all_words).values(), reverse=True)\n",
    "\n",
    "plt.figure(figsize=(12,5))\n",
    "plt.loglog(word_counts, linestyle='-', linewidth=1.5)\n",
    "plt.ylabel(\"Freq\")\n",
    "plt.xlabel(\"Word Rank\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50, 7)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drop duplicates\n",
    "df_ment = df_ment.drop_duplicates('message')\n",
    "df_ment.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### An important update to the code is including first person singular pronouns in stop-word list because it was researched that these terms are commonly used by those diagnosed with mental disorders. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /home/vnoelifant/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "<class 'list'>\n",
      "['we', 'our', 'ours', 'ourselves', 'you', \"you're\", \"you've\", \"you'll\", \"you'd\", 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', \"she's\", 'her', 'hers', 'herself', 'it', \"it's\", 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', \"that'll\", 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', \"don't\", 'should', \"should've\", 'now', 'd', 'll', 'm', 'o', 're', 've', 'y', 'ain', 'aren', \"aren't\", 'couldn', \"couldn't\", 'didn', \"didn't\", 'doesn', \"doesn't\", 'hadn', \"hadn't\", 'hasn', \"hasn't\", 'haven', \"haven't\", 'isn', \"isn't\", 'ma', 'mightn', \"mightn't\", 'mustn', \"mustn't\", 'needn', \"needn't\", 'shan', \"shan't\", 'shouldn', \"shouldn't\", 'wasn', \"wasn't\", 'weren', \"weren't\", 'won', \"won't\", 'wouldn', \"wouldn't\"]\n"
     ]
    }
   ],
   "source": [
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "nltk.download('stopwords')\n",
    "# show stop words examples\n",
    "stop_words = stopwords.words('english') # Show some stop words\n",
    "' , '.join(stop_words)[:200], len(stop_words)\n",
    "print(type(stop_words))\n",
    "#print(stop_words)\n",
    "#remove common first person sinfular pronouns from stop word list (they are important for detecting mental disorders)\n",
    "firstPronouns = ['i','my','me','myself']\n",
    "for pro in firstPronouns:\n",
    "    stop_words.remove(pro)\n",
    "print(stop_words)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### A common step in text-processing is tokenizing, to convert text into words stored in a list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "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>date</th>\n",
       "      <th>user_loc</th>\n",
       "      <th>message</th>\n",
       "      <th>full_name</th>\n",
       "      <th>country</th>\n",
       "      <th>country_code</th>\n",
       "      <th>geo_code</th>\n",
       "      <th>tokens</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-12-15 12:34:28</td>\n",
       "      <td>Fantasyland</td>\n",
       "      <td>how badly want put for because hungover want d...</td>\n",
       "      <td>Florida, USA</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>[-83.804475, 27.698682]</td>\n",
       "      <td>[badly, want, put, hungover, want, die, financ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-12-15 12:40:10</td>\n",
       "      <td>Makati City, National Capital</td>\n",
       "      <td>with this pain feeling right now want die</td>\n",
       "      <td>Malolos City, Central Luzon</td>\n",
       "      <td>Republic of the Philippines</td>\n",
       "      <td>PH</td>\n",
       "      <td>[120.815769, 14.824525]</td>\n",
       "      <td>[pain, feeling, right, want, die]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-12-15 12:52:01</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>certain this not hill want much less die color...</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>[-118.411906, 34.02079]</td>\n",
       "      <td>[certain, hill, want, much, less, die, coloriz...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-12-15 14:23:22</td>\n",
       "      <td>Dublin City, Ireland</td>\n",
       "      <td>sorry there’ videos from last night singing lu...</td>\n",
       "      <td>Fingal, Ireland</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>IE</td>\n",
       "      <td>[-6.23572, 53.494598]</td>\n",
       "      <td>[sorry, there’, videos, last, night, singing, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-12-16 01:42:49</td>\n",
       "      <td>Stony Plain, AB</td>\n",
       "      <td>you may not believe but glad that you guys did...</td>\n",
       "      <td>Edmonton, Alberta</td>\n",
       "      <td>Canada</td>\n",
       "      <td>CA</td>\n",
       "      <td>[-113.492618, 53.55582]</td>\n",
       "      <td>[may, believe, glad, guys, ton, stu…]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 date                        user_loc  \\\n",
       "0 2018-12-15 12:34:28                     Fantasyland   \n",
       "1 2018-12-15 12:40:10  Makati City, National Capital    \n",
       "2 2018-12-15 12:52:01                 Los Angeles, CA   \n",
       "3 2018-12-15 14:23:22            Dublin City, Ireland   \n",
       "4 2018-12-16 01:42:49                 Stony Plain, AB   \n",
       "\n",
       "                                             message  \\\n",
       "0  how badly want put for because hungover want d...   \n",
       "1          with this pain feeling right now want die   \n",
       "2  certain this not hill want much less die color...   \n",
       "3  sorry there’ videos from last night singing lu...   \n",
       "4  you may not believe but glad that you guys did...   \n",
       "\n",
       "                     full_name                      country country_code  \\\n",
       "0                 Florida, USA                United States           US   \n",
       "1  Malolos City, Central Luzon  Republic of the Philippines           PH   \n",
       "2              Los Angeles, CA                United States           US   \n",
       "3              Fingal, Ireland                      Ireland           IE   \n",
       "4            Edmonton, Alberta                       Canada           CA   \n",
       "\n",
       "                  geo_code                                             tokens  \n",
       "0  [-83.804475, 27.698682]  [badly, want, put, hungover, want, die, financ...  \n",
       "1  [120.815769, 14.824525]                  [pain, feeling, right, want, die]  \n",
       "2  [-118.411906, 34.02079]  [certain, hill, want, much, less, die, coloriz...  \n",
       "3    [-6.23572, 53.494598]  [sorry, there’, videos, last, night, singing, ...  \n",
       "4  [-113.492618, 53.55582]              [may, believe, glad, guys, ton, stu…]  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tokenize helper function\n",
    "def text_process(raw_text):\n",
    "    \"\"\"\n",
    "    Takes in a string of text, then performs the following:\n",
    "    1. Remove all punctuation\n",
    "    2. Remove all stopwords\n",
    "    3. Returns a list of the cleaned text\n",
    "    \"\"\"\n",
    "    # Check characters to see if they are in punctuation\n",
    "    nopunc = [char for char in list(raw_text) if char not in string.punctuation]\n",
    "\n",
    "    # Join the characters again to form the string.\n",
    "    nopunc = ''.join(nopunc)\n",
    "    \n",
    "    # Now just remove any stopwords except for those in first person\n",
    "    return [word for word in nopunc.lower().split() if word.lower() not in stopwords.words('english')]\n",
    "\n",
    "\n",
    "#def remove_words(word_list):\n",
    "    #remove = ['depressed','anxiety','excited','hopeless','numb','...','“','”','’','…']\n",
    "    #return [w for w in word_list if w not in remove]\n",
    "\n",
    "# -------------------------------------------\n",
    "\n",
    "# tokenize message column and create a column for tokens\n",
    "df_ment = df_ment.copy()\n",
    "df_ment['tokens'] = df_ment['message'].apply(text_process) # tokenize style 1\n",
    "#df_test['no_pauls'] = df_test['tokens'].apply(remove_words) #tokenize style 2\n",
    "df_ment.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Word Rank')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# most common words in twitter dataset after tokenizing\n",
    "all_words = []\n",
    "for ls in df_ment['tokens']:\n",
    "    words = [w for w in ls]\n",
    "    for word in words:\n",
    "        all_words.append(word.lower())\n",
    "    \n",
    "# plot word frequency distribution of first few words\n",
    "plt.figure(figsize=(12,5))\n",
    "plt.xticks(fontsize=13, rotation=90)\n",
    "fd = nltk.FreqDist(all_words)\n",
    "fd.plot(25,cumulative=False)\n",
    "\n",
    "# log-log  of all words \n",
    "word_counts = sorted(Counter(all_words).values(), reverse=True)\n",
    "plt.figure(figsize=(12,5))\n",
    "plt.loglog(word_counts, linestyle='-', linewidth=1.5)\n",
    "plt.ylabel(\"Freq\")\n",
    "plt.xlabel(\"Word Rank\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visual Story: Test Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x1008 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize cleaned tweets/story-telling of data\n",
    "# graphs, wordclouds\n",
    "# split sentences to get individual words\n",
    "all_words = []\n",
    "for line in df_ment['tokens']: # try 'tokens'\n",
    "    all_words.extend(line)\n",
    "    \n",
    "# create a word frequency dictionary\n",
    "wordfreq = Counter(all_words)\n",
    "\n",
    "# draw a Word Cloud with word frequencies\n",
    "wordcloud = WordCloud(width=900,\n",
    "                      height=500,\n",
    "                      max_words=500,\n",
    "                      max_font_size=100,\n",
    "                      relative_scaling=0.5,\n",
    "                      colormap='Blues',\n",
    "                      normalize_plurals=True).generate_from_frequencies(wordfreq)\n",
    "\n",
    "plt.figure(figsize=(17,14))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extract Features from Cleaned Tweets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Bag-of-Words\n",
    "The raw frequencies of occurrence of a token in a given document: very common in text processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "315\n",
      "Shape of Sparse Matrix:  (50, 315)\n",
      "Amount of Non-Zero occurences:  461\n"
     ]
    }
   ],
   "source": [
    "# extract features from cleaned tweets\n",
    "\n",
    "# convert each message which is represented by a list\n",
    "# of tokens into a vector that a machine learning model can understand\n",
    "\n",
    "# use Bag of Words, TF-IDF, word2vec\n",
    "\n",
    "# Bag of Words (count of words per document)\n",
    "# vetorize\n",
    "bow_transformer = CountVectorizer(analyzer=text_process).fit(df_ment['message'])\n",
    "# print total number of vocab words\n",
    "print(len(bow_transformer.vocabulary_))\n",
    "\n",
    "# transform the entire DataFrame of messages\n",
    "messages_bow = bow_transformer.transform(df_ment['message'])\n",
    "\n",
    "# check out the bag-of-words counts for the entire corpus as a large sparse matrix\n",
    "print('Shape of Sparse Matrix: ', messages_bow.shape)\n",
    "print('Amount of Non-Zero occurences: ', messages_bow.nnz)\n",
    "\n",
    "#bow_vectorizer = CountVectorizer(max_df=0.90, min_df=2, max_features=1000)\n",
    "#bow = bow_vectorizer.fit_transform(df_test['tokens'])\n",
    "#bow.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sorry there’ videos from last night singing luftballon like just want die who think \n",
      "\n",
      "\n",
      "  (0, 62)\t1\n",
      "  (0, 150)\t1\n",
      "  (0, 155)\t1\n",
      "  (0, 166)\t1\n",
      "  (0, 187)\t1\n",
      "  (0, 235)\t1\n",
      "  (0, 241)\t1\n",
      "  (0, 261)\t1\n",
      "  (0, 263)\t1\n",
      "  (0, 287)\t1\n",
      "  (0, 289)\t1\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# example of vectorized text\n",
    "sample_tweet = df_ment['message'][3]\n",
    "print(sample_tweet)\n",
    "print('\\n')\n",
    "# vector representation\n",
    "bow_sample = bow_transformer.transform([sample_tweet])\n",
    "print(bow_sample)\n",
    "print('\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### TF-IDF \n",
    "The goal of using tf-idf is to scale down the impact of tokens that occur very frequently in a given corpus and that are thus less informative than features that occur in a small fraction of the training corpus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  (0, 289)\t0.11666974321755323\n",
      "  (0, 287)\t0.3445407234108153\n",
      "  (0, 263)\t0.3445407234108153\n",
      "  (0, 261)\t0.3445407234108153\n",
      "  (0, 241)\t0.31158251645031865\n",
      "  (0, 235)\t0.3445407234108153\n",
      "  (0, 187)\t0.3445407234108153\n",
      "  (0, 166)\t0.3445407234108153\n",
      "  (0, 155)\t0.25524008950865146\n",
      "  (0, 150)\t0.31158251645031865\n",
      "  (0, 62)\t0.12175170667983283\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1, 315)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TF-IDF (less emphasis on commonly used words across corpus of data)\n",
    "# from sklearn.feature_extraction.text import TfidfTransformer\n",
    "tfidf_transformer = TfidfTransformer().fit(messages_bow)\n",
    "tfidf_sample = tfidf_transformer.transform(bow_sample)\n",
    "print(tfidf_sample)\n",
    "tfidf_sample.shape\n",
    "\n",
    "# another way\n",
    "#tfidf_vectorizer = TfidfVectorizer(max_df=0.90, min_df=2, max_features=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "# some IDF (inverse document frequency) example\n",
    "#print(tfidf_transformer.idf_[bow_transformer.vocabulary_['anxiety']])\n",
    "#print(tfidf_transformer.idf_[bow_transformer.vocabulary_['depressed']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50, 315)\n"
     ]
    }
   ],
   "source": [
    "# to transform the entire bag-of-words corpus\n",
    "messages_tfidf = tfidf_transformer.transform(messages_bow)\n",
    "print(messages_tfidf.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Updated code to explore word2Vec which is a more advanced feature extraction method to look at the surrounding words in text to generalize what words mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1160, 9640)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# word2vec\n",
    "model_w2v = gensim.models.Word2Vec(\n",
    "            df_ment['tokens'],\n",
    "            size=200, # desired no. of features/independent variables \n",
    "            window=5, # context window size\n",
    "            min_count=2,\n",
    "            sg = 1, # 1 for skip-gram model\n",
    "            hs = 0,\n",
    "            negative = 10, # for negative sampling\n",
    "            workers= 2, # no.of cores\n",
    "            seed = 34)\n",
    "\n",
    "model_w2v.train(df_ment['tokens'], total_examples= len(df_ment['tokens']), epochs=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's play around with word2vec to check word similarity\n",
    "#model_w2v.wv.most_similar(positive=\"depressed\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Building\n",
    "\n",
    "The following are the major steps for model building:\n",
    "\n",
    "+ Do a train/test split on the training dataset 'Sentiment Analysis Dataset 2.csv'\n",
    "+ Run features and models/classifiers through SciKit Learn Pipeline\n",
    "\n",
    "  + Models to try are as follows:Logistic Regression, Naive Bayes, Support Vector Machine, RandomForest, XGBoost\n",
    "\n",
    "+ optimize models using Grid Search and pipeline \n",
    "+ get performance metrics\n",
    "+ make predictions using data downloaded from Twitter API\n",
    "+ analyze results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Testing the NB classifier, which assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. While not as accurate as other models, it is simple to understand and fast, and a good starter candidate for this project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 10 folds for each of 8 candidates, totalling 80 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Best Model: 0.769000 using {'bow__ngram_range': (1, 2), 'classifier__alpha': 0.01, 'tfidf__use_idf': False}\n",
      "\n",
      "\n",
      "Mean: 0.756000 Stdev:(0.017679) with: {'bow__ngram_range': (1, 1), 'classifier__alpha': 0.01, 'tfidf__use_idf': True}\n",
      "Mean: 0.765250 Stdev:(0.016473) with: {'bow__ngram_range': (1, 1), 'classifier__alpha': 0.01, 'tfidf__use_idf': False}\n",
      "Mean: 0.751750 Stdev:(0.018729) with: {'bow__ngram_range': (1, 1), 'classifier__alpha': 0.001, 'tfidf__use_idf': True}\n",
      "Mean: 0.757000 Stdev:(0.016466) with: {'bow__ngram_range': (1, 1), 'classifier__alpha': 0.001, 'tfidf__use_idf': False}\n",
      "Mean: 0.762750 Stdev:(0.012958) with: {'bow__ngram_range': (1, 2), 'classifier__alpha': 0.01, 'tfidf__use_idf': True}\n",
      "Mean: 0.769000 Stdev:(0.015825) with: {'bow__ngram_range': (1, 2), 'classifier__alpha': 0.01, 'tfidf__use_idf': False}\n",
      "Mean: 0.757500 Stdev:(0.014100) with: {'bow__ngram_range': (1, 2), 'classifier__alpha': 0.001, 'tfidf__use_idf': True}\n",
      "Mean: 0.763500 Stdev:(0.014463) with: {'bow__ngram_range': (1, 2), 'classifier__alpha': 0.001, 'tfidf__use_idf': False}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done  80 out of  80 | elapsed:    9.8s finished\n"
     ]
    }
   ],
   "source": [
    "# Run Train Data Through Pipeline analyzer=text_process\n",
    "X_train, X_test, y_train, y_test = train_test_split(data['text'][:5000], data['label'][:5000], test_size=0.2)\n",
    "\n",
    "\n",
    "# create pipeline (using model Naive Bayes for this problem, explore others in future)\n",
    "pipeline = Pipeline([\n",
    "    ('bow', CountVectorizer(strip_accents='ascii',\n",
    "                            stop_words='english',\n",
    "                            lowercase=True)),  # strings to token integer counts\n",
    "    ('tfidf', TfidfTransformer()),  # integer counts to weighted TF-IDF scores\n",
    "    ('classifier', MultinomialNB()),  # train on TF-IDF vectors w/ Naive Bayes classifier\n",
    "])\n",
    "\n",
    "# this is where we define the values for GridSearchCV to iterate over\n",
    "parameters = {'bow__ngram_range': [(1, 1), (1, 2)],\n",
    "              'tfidf__use_idf': (True, False),\n",
    "              'classifier__alpha': (1e-2, 1e-3),\n",
    "             }\n",
    "\n",
    "# do 10-fold cross validation for each of the 6 possible combinations of the above params\n",
    "grid = GridSearchCV(pipeline, cv=10, param_grid=parameters, verbose=1)\n",
    "grid.fit(X_train,y_train)\n",
    "\n",
    "# summarize results\n",
    "print(\"\\nBest Model: %f using %s\" % (grid.best_score_, grid.best_params_))\n",
    "print('\\n')\n",
    "means = grid.cv_results_['mean_test_score']\n",
    "stds = grid.cv_results_['std_test_score']\n",
    "params = grid.cv_results_['params']\n",
    "for mean, stdev, param in zip(means, stds, params):\n",
    "    print(\"Mean: %f Stdev:(%f) with: %r\" % (mean, stdev, param))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['twitter_sentiment.pkl']"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# save best model to current working directory\n",
    "joblib.dump(grid, \"twitter_sentiment.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy score:  0.741\n",
      "\n",
      "\n",
      "confusion matrix: \n",
      " [[642  74]\n",
      " [185  99]]\n",
      "\n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.78      0.90      0.83       716\n",
      "           1       0.57      0.35      0.43       284\n",
      "\n",
      "   micro avg       0.74      0.74      0.74      1000\n",
      "   macro avg       0.67      0.62      0.63      1000\n",
      "weighted avg       0.72      0.74      0.72      1000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# load from file and predict using the best configs found in the CV step\n",
    "model_NB = joblib.load(\"twitter_sentiment.pkl\" )\n",
    "\n",
    "# get predictions from best model above\n",
    "y_preds = model_NB.predict(X_test)\n",
    "\n",
    "print('accuracy score: ',accuracy_score(y_test, y_preds))\n",
    "print('\\n')\n",
    "print('confusion matrix: \\n',confusion_matrix(y_test,y_preds))\n",
    "print('\\n')\n",
    "print(classification_report(y_test, y_preds))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50, 8)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# run predictions on twitter API data\n",
    "tweet_preds = model_NB.predict(df_test['message'])\n",
    "\n",
    "# append predictions to dataframe\n",
    "df_tweet_preds = df_test.copy()\n",
    "df_tweet_preds['predictions'] = tweet_preds\n",
    "df_tweet_preds.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 -- I'm listening to from here to eternity, and thinking about my last stay in hospital. I am fine as of now, and I do… https://t.co/G35rKnAV4N \n",
      "\n",
      "0 -- My cousin: “your not going hard enough🙄”\n",
      "Me: “bitch I am driving on the freeway do you want to die?!”\n",
      "Her: “suree… https://t.co/uPKkKwvwRj \n",
      "\n",
      "0 -- my Gucci baby @ like 5 am and I want to die (,: https://t.co/LrRrGqjdZi \n",
      "\n",
      "0 -- @trollarchjake @DwayneW67065573 @LaughingManPro @want2brd @drakeb871 @davidhogg111 It won't be *me* doing it.\n",
      "\n",
      "I am… https://t.co/4ZL5TVwKSD \n",
      "\n",
      "0 -- But don't fret. I don't need to be rescued. I am completely safe. I don't want to die. I just don't want to exist. \n",
      "\n",
      "0 -- People on twitter: i want to die, someone plzz kill me, i am ded inside. \n",
      "In real life: i want a long and healthy l… https://t.co/dSNNaf6eAi \n",
      "\n",
      "0 -- Back at the gym and let me tell you, I want to die from how out of shape I am 🙃 \n",
      "\n",
      "0 -- Oh how badly I want to put in for an er because I am so hungover I want to die but I financially cannot do that to myself \n",
      "\n",
      "0 -- They got me starting at 5 AM Sunday and Monday I’ve officially made it to the big time 😂 I’m honored but also want to die \n",
      "\n",
      "0 -- I am absolutely appalled at the Tweets I’m reading in reference to Afghanistan and Syria... Too many fucking people… https://t.co/8W6q6GnjmX \n",
      "\n",
      "0 -- Your not allowed to decide that you hurt me. I no I’m not easy. The pain I feel is so excruciating; I don’t know ho… https://t.co/P5vL6SF37F \n",
      "\n",
      "1 -- @AustinRBechtold @Pirates I just tweeted this AM.When some1 tweeted who wants to give him a fresh start.I said, \"ye… https://t.co/02KMfNbjTs \n",
      "\n",
      "0 -- i am so afraid of how i will die, some days i just want to stay locked up in the house because i am so scared.. not knowing it so scary. \n",
      "\n",
      "0 -- I have to be at work at 5 am and I want to die 🙂🙂🙂 \n",
      "\n",
      "0 -- I am certain this is not a hill I want to be on, much less die on.  Colorized Three Stooges is a bad thing?  Highwa… https://t.co/FA0J96Jk2t \n",
      "\n",
      "0 -- I am SO hungover and I have two meetings today and a huge final project due at an unknown time today and I want to… https://t.co/JrPOmIWBL9 \n",
      "\n",
      "0 -- John 14:6 says \"I am the Way The Truth and the Life. NO MAN comes unto the Father but through ME.\" You can call me… https://t.co/6od1BW2Cst \n",
      "\n",
      "0 -- I’ve thought about dying every single day this week. (Don’t be worried. I’m fine.) I’ve just thought a lot about ac… https://t.co/CcTSJEpsbr \n",
      "\n",
      "0 -- as much as my life is completely falling apart and i want to die i can’t even complain because erin is going to be… https://t.co/wiCdd4cZum \n",
      "\n",
      "0 -- If i was to die i want everyone to know that i am not full of hate i love people and the earth and i love everythin… https://t.co/uipuIcx6r0 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# print text and sentiment\n",
    "\n",
    "index = random.sample(range(tweet_preds.shape[0]), 20)\n",
    "for text, sentiment in zip(df_tweet_preds.message[index],\n",
    "                           df_tweet_preds.predictions[index]):\n",
    "    print (sentiment, '--', text, '\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusions\n",
    "We can see that we have while not a very high accuracy score, the score is not bad, and it's convincing to say we have a good, working algorithm for detecting whether tweets are prone to having a mental disorder. The prediction results are a bit mixed, but at least we do see expected results.  However improvements should be explored in the future to enhance the predictions. With the researched machine learning tools, and available models, I believe this project is a great example to build upon further. \n",
    "\n",
    "\n",
    "### Next steps: \n",
    "Use more models, such as LSTM CNN to see if the prediction is more accurate, find improved datasets, such as finding those with true labels of mental disorders,figure out alternate ways in pulling test data that may improve the detection (I likely need much more data), predict the actual mental disorder, enhance text/feature exraction, use more labels, such as neutral sentiment labels, explore emojis, research how supportive chat bots can be integrated during real time detection, perhaps with Twitter's Streaming API. \n",
    "    "
   ]
  }
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