news_data_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "accessible-benchmark",
   "metadata": {},
   "source": [
    "Todo: Need to find common negative/positive words in headlines (based on price changes) and update vader sentiment lexicons.\n",
    "train RF on headline_clean to predict price changes: binary classification (0 if price change is -ve, 1 if price change is +ve)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "supposed-wichita",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pystock.helper_functions import load_news_df, mergeFiles2df\n",
    "from pystock import constants\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import pickle\n",
    "import requests\n",
    "from tqdm import tqdm\n",
    "import glob"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "printable-looking",
   "metadata": {},
   "source": [
    "# Get historical news data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "guided-necklace",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_historical_news(ticker, date_from, date_to, outdir, website='finnhub'):\n",
    "    data = {\"symbol\": ticker,\n",
    "            \"from\": date_from,\n",
    "            \"to\": date_to,\n",
    "            \"token\": constants.FINNHUB_KEY} \n",
    "    \n",
    "    if website == 'finnhub':\n",
    "        response = requests.get('https://finnhub.io/api/v1/company-news', data)\n",
    "    df = pd.DataFrame.from_dict(response.json()).drop(['category', 'id', 'image', 'url'], axis=1)\n",
    "    df['datetime'] = pd.to_datetime(df['datetime'],unit='s')\n",
    "    df = df.set_index('datetime')\n",
    "    \n",
    "    # actual date_from (rate limited by 500 responses/ API call)\n",
    "    date_from = str(df.index.min().date())\n",
    "    \n",
    "    file = open(f'{outdir}/{ticker}_{date_from}_{date_to}_{website}.pkl', 'wb')\n",
    "    pickle.dump(df, file)\n",
    "    file.close()\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "hourly-soundtrack",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_historical_news_recursive(ticker, dates, outdir):\n",
    "    # start with 1 year span, then adjust date_to to earliest date in df\n",
    "    # stop after 60 API calls (rate limited)\n",
    "    # Adjust the end parameter in dates variable to last_date\n",
    "    last_date = None\n",
    "    for i in tqdm(range(60)):\n",
    "        if i == 0:\n",
    "            df = get_historical_news(ticker, date_from=dates[0], date_to=dates[-1], outdir=outdir)\n",
    "        else:\n",
    "            last_date = str(df.index.min().date())\n",
    "            df = get_historical_news(ticker, date_from=dates[0], date_to=last_date, outdir=outdir)\n",
    "\n",
    "        if last_date == dates[0] or str(df.index.min().date()) == last_date:\n",
    "            break\n",
    "    print(str(df.index.min().date()))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "greater-recruitment",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 18%|███████████████                                                                   | 11/60 [00:15<01:07,  1.39s/it]\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-8-0d63879749df>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0mdates\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdate_range\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstart\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'2020-03-20'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'2021-03-17'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0moutdir\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'data/parsed_data/'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mget_historical_news_recursive\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mticker\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdates\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moutdir\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-5-66c738384f0b>\u001b[0m in \u001b[0;36mget_historical_news_recursive\u001b[1;34m(ticker, dates, outdir)\u001b[0m\n\u001b[0;32m      9\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m             \u001b[0mlast_date\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 11\u001b[1;33m             \u001b[0mdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_historical_news\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mticker\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdate_from\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdates\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdate_to\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlast_date\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moutdir\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0moutdir\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     12\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     13\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mlast_date\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mdates\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mlast_date\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-2-2dcd21471da8>\u001b[0m in \u001b[0;36mget_historical_news\u001b[1;34m(ticker, date_from, date_to, outdir, website)\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mwebsite\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'finnhub'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m         \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'https://finnhub.io/api/v1/company-news'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      9\u001b[0m     \u001b[0mdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfrom_dict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjson\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'category'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'id'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'image'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'url'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m     \u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'datetime'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_datetime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'datetime'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0munit\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m's'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mget\u001b[1;34m(url, params, **kwargs)\u001b[0m\n\u001b[0;32m     74\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     75\u001b[0m     \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'allow_redirects'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 76\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'get'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     77\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     78\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(method, url, **kwargs)\u001b[0m\n\u001b[0;32m     59\u001b[0m     \u001b[1;31m# cases, and look like a memory leak in others.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     60\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0msessions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 61\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     62\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     63\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[0;32m    540\u001b[0m         }\n\u001b[0;32m    541\u001b[0m         \u001b[0msend_kwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 542\u001b[1;33m         \u001b[0mresp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprep\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0msend_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    543\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    544\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, **kwargs)\u001b[0m\n\u001b[0;32m    653\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    654\u001b[0m         \u001b[1;31m# Send the request\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 655\u001b[1;33m         \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    656\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    657\u001b[0m         \u001b[1;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m    447\u001b[0m                     \u001b[0mdecode_content\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    448\u001b[0m                     \u001b[0mretries\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax_retries\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 449\u001b[1;33m                     \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    450\u001b[0m                 )\n\u001b[0;32m    451\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m    704\u001b[0m                 \u001b[0mbody\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    705\u001b[0m                 \u001b[0mheaders\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mheaders\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 706\u001b[1;33m                 \u001b[0mchunked\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mchunked\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    707\u001b[0m             )\n\u001b[0;32m    708\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[1;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[0;32m    443\u001b[0m                     \u001b[1;31m# Python 3 (including for exceptions like SystemExit).\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    444\u001b[0m                     \u001b[1;31m# Otherwise it looks like a bug in the code.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 445\u001b[1;33m                     \u001b[0msix\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    446\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mSocketTimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mBaseSSLError\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mSocketError\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    447\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_raise_timeout\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0merr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout_value\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mread_timeout\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\site-packages\\urllib3\\packages\\six.py\u001b[0m in \u001b[0;36mraise_from\u001b[1;34m(value, from_value)\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[1;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[0;32m    438\u001b[0m                 \u001b[1;31m# Python 3\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    439\u001b[0m                 \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 440\u001b[1;33m                     \u001b[0mhttplib_response\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetresponse\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    441\u001b[0m                 \u001b[1;32mexcept\u001b[0m \u001b[0mBaseException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    442\u001b[0m                     \u001b[1;31m# Remove the TypeError from the exception chain in\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\http\\client.py\u001b[0m in \u001b[0;36mgetresponse\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1342\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1343\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1344\u001b[1;33m                 \u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbegin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1345\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mConnectionError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1346\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\http\\client.py\u001b[0m in \u001b[0;36mbegin\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    304\u001b[0m         \u001b[1;31m# read until we get a non-100 response\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    305\u001b[0m         \u001b[1;32mwhile\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 306\u001b[1;33m             \u001b[0mversion\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstatus\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreason\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_read_status\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    307\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mstatus\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mCONTINUE\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    308\u001b[0m                 \u001b[1;32mbreak\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\http\\client.py\u001b[0m in \u001b[0;36m_read_status\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    265\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    266\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_read_status\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 267\u001b[1;33m         \u001b[0mline\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreadline\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_MAXLINE\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"iso-8859-1\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    268\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mline\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>\u001b[0m \u001b[0m_MAXLINE\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    269\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mLineTooLong\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"status line\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\socket.py\u001b[0m in \u001b[0;36mreadinto\u001b[1;34m(self, b)\u001b[0m\n\u001b[0;32m    587\u001b[0m         \u001b[1;32mwhile\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    588\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 589\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_sock\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    590\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    591\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_timeout_occurred\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\ssl.py\u001b[0m in \u001b[0;36mrecv_into\u001b[1;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[0;32m   1069\u001b[0m                   \u001b[1;34m\"non-zero flags not allowed in calls to recv_into() on %s\"\u001b[0m \u001b[1;33m%\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1070\u001b[0m                   self.__class__)\n\u001b[1;32m-> 1071\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnbytes\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbuffer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1072\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1073\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbuffer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnbytes\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\lib\\ssl.py\u001b[0m in \u001b[0;36mread\u001b[1;34m(self, len, buffer)\u001b[0m\n\u001b[0;32m    927\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    928\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mbuffer\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 929\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_sslobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbuffer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    930\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    931\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_sslobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "ticker = 'CCIV'\n",
    "dates = pd.date_range(start='2020-03-20', end='2021-03-17').astype(str).tolist()\n",
    "outdir = 'data/parsed_data/'\n",
    "get_historical_news_recursive(ticker, dates, outdir)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "billion-animal",
   "metadata": {},
   "source": [
    "# Merge news data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "awful-accused",
   "metadata": {},
   "outputs": [],
   "source": [
    "ticker = 'CCIV'\n",
    "indir = f'data/parsed_data/{ticker}*'\n",
    "files = glob.glob(indir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "unauthorized-fifth",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating dataset:\n",
      "\n",
      "1/2\n",
      "data/parsed_data\\CCIV_2020-09-24_2020-09-24_finnhub.pkl\n",
      "_____________\n",
      "2/2\n",
      "data/parsed_data\\CCIV_2020-09-24_2021-03-17_finnhub.pkl\n",
      "_____________\n",
      "Dataset created!\n"
     ]
    }
   ],
   "source": [
    "df_merge = mergeFiles2df(files, load_news_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "broad-wisdom",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_merge.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "afraid-refund",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>headline</th>\n",
       "      <th>ticker</th>\n",
       "      <th>source</th>\n",
       "      <th>summary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-09-24 14:38:00</th>\n",
       "      <td>Churchill Capital Launches Fifth SPAC</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>Benzinga</td>\n",
       "      <td>Michael Klein, one of the prominent names in t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-30 00:00:00</th>\n",
       "      <td>Kevin O'Leary Shares SPAC Picks, Impressions</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>benzinga</td>\n",
       "      <td>Entrepreneur and \"Shark Tank\" judge Kevin O’Le...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-02 16:29:48</th>\n",
       "      <td>After Hours Most Active for Oct 2, 2020 :  SBH...</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>Nasdaq</td>\n",
       "      <td>The NASDAQ 100 After Hours Indicator is up 12....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-02 19:59:59</th>\n",
       "      <td>After Hours Most Active for Oct 2, 2020 :  SBH...</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>Nasdaq</td>\n",
       "      <td>The NASDAQ 100 After Hours Indicator is down -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-12 00:00:00</th>\n",
       "      <td>Q3 The Busiest Since 2014 For IPOs, Led By Uni...</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>benzinga</td>\n",
       "      <td>The third quarter saw 86 companies go public v...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-11 11:59:28</th>\n",
       "      <td>Jaws Spitfire Acquisition Corporation: SpaceX ...</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>seekingalpha.com</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-11 12:06:42</th>\n",
       "      <td>Buckle In for a Wild Ride With Churchill Capit...</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>Nasdaq</td>\n",
       "      <td>InvestorPlace - Stock Market News, Stock Advic...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-12 01:00:49</th>\n",
       "      <td>While You Slept, Tesla Ushered In The Golden A...</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>seekingalpha.com</td>\n",
       "      <td>Tesla's rapid ascent has helped usher in a new...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-15 07:04:14</th>\n",
       "      <td>Wall Street Breakfast: Most Valuable Startup</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>seekingalpha.com</td>\n",
       "      <td>Listen on the go! A daily podcast of Wall Stre...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-15 15:25:00</th>\n",
       "      <td>Opinion: The Tesla bubble: Bets on electric ca...</td>\n",
       "      <td>CCIV</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>Investors take on the role of venture capitali...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>194 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                              headline ticker  \\\n",
       "datetime                                                                        \n",
       "2020-09-24 14:38:00              Churchill Capital Launches Fifth SPAC   CCIV   \n",
       "2020-09-30 00:00:00       Kevin O'Leary Shares SPAC Picks, Impressions   CCIV   \n",
       "2020-10-02 16:29:48  After Hours Most Active for Oct 2, 2020 :  SBH...   CCIV   \n",
       "2020-10-02 19:59:59  After Hours Most Active for Oct 2, 2020 :  SBH...   CCIV   \n",
       "2020-10-12 00:00:00  Q3 The Busiest Since 2014 For IPOs, Led By Uni...   CCIV   \n",
       "...                                                                ...    ...   \n",
       "2021-03-11 11:59:28  Jaws Spitfire Acquisition Corporation: SpaceX ...   CCIV   \n",
       "2021-03-11 12:06:42  Buckle In for a Wild Ride With Churchill Capit...   CCIV   \n",
       "2021-03-12 01:00:49  While You Slept, Tesla Ushered In The Golden A...   CCIV   \n",
       "2021-03-15 07:04:14       Wall Street Breakfast: Most Valuable Startup   CCIV   \n",
       "2021-03-15 15:25:00  Opinion: The Tesla bubble: Bets on electric ca...   CCIV   \n",
       "\n",
       "                               source  \\\n",
       "datetime                                \n",
       "2020-09-24 14:38:00          Benzinga   \n",
       "2020-09-30 00:00:00          benzinga   \n",
       "2020-10-02 16:29:48            Nasdaq   \n",
       "2020-10-02 19:59:59            Nasdaq   \n",
       "2020-10-12 00:00:00          benzinga   \n",
       "...                               ...   \n",
       "2021-03-11 11:59:28  seekingalpha.com   \n",
       "2021-03-11 12:06:42            Nasdaq   \n",
       "2021-03-12 01:00:49  seekingalpha.com   \n",
       "2021-03-15 07:04:14  seekingalpha.com   \n",
       "2021-03-15 15:25:00       MarketWatch   \n",
       "\n",
       "                                                               summary  \n",
       "datetime                                                                \n",
       "2020-09-24 14:38:00  Michael Klein, one of the prominent names in t...  \n",
       "2020-09-30 00:00:00  Entrepreneur and \"Shark Tank\" judge Kevin O’Le...  \n",
       "2020-10-02 16:29:48  The NASDAQ 100 After Hours Indicator is up 12....  \n",
       "2020-10-02 19:59:59  The NASDAQ 100 After Hours Indicator is down -...  \n",
       "2020-10-12 00:00:00  The third quarter saw 86 companies go public v...  \n",
       "...                                                                ...  \n",
       "2021-03-11 11:59:28                                                     \n",
       "2021-03-11 12:06:42  InvestorPlace - Stock Market News, Stock Advic...  \n",
       "2021-03-12 01:00:49  Tesla's rapid ascent has helped usher in a new...  \n",
       "2021-03-15 07:04:14  Listen on the go! A daily podcast of Wall Stre...  \n",
       "2021-03-15 15:25:00  Investors take on the role of venture capitali...  \n",
       "\n",
       "[194 rows x 4 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "approved-gateway",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_merge.to_csv(f'data/parsed_data/{ticker}_{df_merge.index.min().date()}_{df_merge.index.max().date()}_finnhub.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "collaborative-diving",
   "metadata": {},
   "source": [
    "# News and price analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "recovered-drill",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "def load_var(filename):\n",
    "    with open(filename, 'rb') as f:\n",
    "        var = pickle.load(f)\n",
    "    return var\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "addressed-narrative",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = load_var('data/data_2020-04-01_2021-03-26.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "moved-birthday",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-17 16:43:00</th>\n",
       "      <td>Carnival Corp. stock outperforms market on str...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>Shares of Carnival Corp. rallied 2.41% to $28....</td>\n",
       "      <td>0.001385</td>\n",
       "      <td>0.022507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 10:43:31</th>\n",
       "      <td>Reasons To Avoid Carnival Stock At Current Levels</td>\n",
       "      <td>CCL</td>\n",
       "      <td>seekingalpha.com</td>\n",
       "      <td>Cruise industry recovery to pre-COVID levels i...</td>\n",
       "      <td>0.018648</td>\n",
       "      <td>0.029586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 09:22:00</th>\n",
       "      <td>Amid vaccine hurdles, EU battles to save summe...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>A \"digital green certificate” will be a proof ...</td>\n",
       "      <td>0.011445</td>\n",
       "      <td>0.007092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 05:30:00</th>\n",
       "      <td>American Airlines Joins Debt-Market Behemoths</td>\n",
       "      <td>CCL</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Recent $10 billion financing transfers much of...</td>\n",
       "      <td>-0.009890</td>\n",
       "      <td>-0.009890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-16 16:44:00</th>\n",
       "      <td>Carnival Corp. stock falls Tuesday, underperfo...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>Shares of Carnival Corp. slipped 5.17% to $28....</td>\n",
       "      <td>-0.000353</td>\n",
       "      <td>-0.009890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 06:33:00</th>\n",
       "      <td>Snowflake Will Have to Run Extra Hot</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Data warehousing provider’s soaring IPO puts i...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 05:04:00</th>\n",
       "      <td>62 Biggest Movers From Yesterday</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>Benzinga</td>\n",
       "      <td>Gainers\\n\\nSnowflake Inc. (NYSE: SNOW) shares ...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 02:32:00</th>\n",
       "      <td>Sumo Logic Prices IPO Above Indicated Range, I...</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>Benzinga</td>\n",
       "      <td>Sumo Logic Inc (NASDAQ: SUMO) priced its initi...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 18:00:00</th>\n",
       "      <td>Snowflake’s Stock Price Soars in IPO</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Snowflake’s shares made their debut at $245 a ...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 19:34:00</th>\n",
       "      <td>Snowflake Stock: What You Need to Know About T...</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>wsj</td>\n",
       "      <td>The data-management company’s strong revenue g...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>28209 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                              headline  \\\n",
       "time                                                                     \n",
       "2021-03-17 16:43:00  Carnival Corp. stock outperforms market on str...   \n",
       "2021-03-17 10:43:31  Reasons To Avoid Carnival Stock At Current Levels   \n",
       "2021-03-17 09:22:00  Amid vaccine hurdles, EU battles to save summe...   \n",
       "2021-03-17 05:30:00     American Airlines Joins Debt-Market Behemoths    \n",
       "2021-03-16 16:44:00  Carnival Corp. stock falls Tuesday, underperfo...   \n",
       "...                                                                ...   \n",
       "2020-09-17 06:33:00              Snowflake Will Have to Run Extra Hot    \n",
       "2020-09-17 05:04:00                   62 Biggest Movers From Yesterday   \n",
       "2020-09-17 02:32:00  Sumo Logic Prices IPO Above Indicated Range, I...   \n",
       "2020-09-16 18:00:00               Snowflake’s Stock Price Soars in IPO   \n",
       "2020-09-16 19:34:00  Snowflake Stock: What You Need to Know About T...   \n",
       "\n",
       "                    related            source  \\\n",
       "time                                            \n",
       "2021-03-17 16:43:00     CCL       MarketWatch   \n",
       "2021-03-17 10:43:31     CCL  seekingalpha.com   \n",
       "2021-03-17 09:22:00     CCL       MarketWatch   \n",
       "2021-03-17 05:30:00     CCL          DowJones   \n",
       "2021-03-16 16:44:00     CCL       MarketWatch   \n",
       "...                     ...               ...   \n",
       "2020-09-17 06:33:00    SNOW          DowJones   \n",
       "2020-09-17 05:04:00    SNOW          Benzinga   \n",
       "2020-09-17 02:32:00    SNOW          Benzinga   \n",
       "2020-09-16 18:00:00    SNOW          DowJones   \n",
       "2020-09-16 19:34:00    SNOW               wsj   \n",
       "\n",
       "                                                               summary  \\\n",
       "time                                                                     \n",
       "2021-03-17 16:43:00  Shares of Carnival Corp. rallied 2.41% to $28....   \n",
       "2021-03-17 10:43:31  Cruise industry recovery to pre-COVID levels i...   \n",
       "2021-03-17 09:22:00  A \"digital green certificate” will be a proof ...   \n",
       "2021-03-17 05:30:00  Recent $10 billion financing transfers much of...   \n",
       "2021-03-16 16:44:00  Shares of Carnival Corp. slipped 5.17% to $28....   \n",
       "...                                                                ...   \n",
       "2020-09-17 06:33:00  Data warehousing provider’s soaring IPO puts i...   \n",
       "2020-09-17 05:04:00  Gainers\\n\\nSnowflake Inc. (NYSE: SNOW) shares ...   \n",
       "2020-09-17 02:32:00  Sumo Logic Inc (NASDAQ: SUMO) priced its initi...   \n",
       "2020-09-16 18:00:00  Snowflake’s shares made their debut at $245 a ...   \n",
       "2020-09-16 19:34:00  The data-management company’s strong revenue g...   \n",
       "\n",
       "                     change_1h  change_4h  \n",
       "time                                       \n",
       "2021-03-17 16:43:00   0.001385   0.022507  \n",
       "2021-03-17 10:43:31   0.018648   0.029586  \n",
       "2021-03-17 09:22:00   0.011445   0.007092  \n",
       "2021-03-17 05:30:00  -0.009890  -0.009890  \n",
       "2021-03-16 16:44:00  -0.000353  -0.009890  \n",
       "...                        ...        ...  \n",
       "2020-09-17 06:33:00  -0.053278  -0.053278  \n",
       "2020-09-17 05:04:00  -0.053278  -0.053278  \n",
       "2020-09-17 02:32:00  -0.053278  -0.053278  \n",
       "2020-09-16 18:00:00  -0.053278  -0.053278  \n",
       "2020-09-16 19:34:00  -0.053278  -0.053278  \n",
       "\n",
       "[28209 rows x 6 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "intellectual-female",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\matth\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\matth\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd             # handle data\n",
    "import matplotlib.pyplot as plt # plotting\n",
    "import gc                       # free up ram\n",
    "import re                       # text preprocessing\n",
    "import nltk                     # NLP\n",
    "from nltk.corpus import stopwords \n",
    "nltk.download('stopwords')\n",
    "nltk.download('punkt')\n",
    "from nltk.sentiment.vader import SentimentIntensityAnalyzer # sentiment analysis\n",
    "from pprint import pprint       # pretty print\n",
    "import numpy as np              # numbers \n",
    "from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator # Word cloud\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fancy-scott",
   "metadata": {},
   "source": [
    "## Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "clear-capacity",
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_process_text(df, col):\n",
    "    \"\"\"Drop duplicates and clean tweets\"\"\"\n",
    "    df = df.drop_duplicates()  # Drop duplicates\n",
    "    df[col] = df[col].apply(process_text)   # Process text\n",
    "    return df\n",
    "    \n",
    "def process_text(text):\n",
    "    \"\"\" Clean input tweets \"\"\"\n",
    "    hashtags = re.compile(r\"^#\\S+|\\s#\\S+\")\n",
    "    mentions = re.compile(r\"^@\\S+|\\s@\\S+\")\n",
    "    andSymbol = re.compile(r\"^&\\S+|\\s&\\S+\")\n",
    "    urls = re.compile(r\"https?://\\S+\")\n",
    "    control_char = re.compile(r\"[\\n\\r\\t]\")\n",
    "    text = hashtags.sub(' hashtag', text)\n",
    "    text = andSymbol.sub('', text)\n",
    "    text = mentions.sub(' entity', text)\n",
    "    text = urls.sub(' website ', text)\n",
    "    text = control_char.sub('', text)\n",
    "    text = text.encode('ascii', 'ignore').decode('ascii') # remove emoji\n",
    "    return text.strip().lower() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "beautiful-governor",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = run_process_text(df, 'headline')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "eleven-alias",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>headline</th>\n",
       "      <th>related</th>\n",
       "      <th>source</th>\n",
       "      <th>summary</th>\n",
       "      <th>change_1h</th>\n",
       "      <th>change_4h</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-17 16:43:00</th>\n",
       "      <td>carnival corp. stock outperforms market on str...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>Shares of Carnival Corp. rallied 2.41% to $28....</td>\n",
       "      <td>0.001385</td>\n",
       "      <td>0.022507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 10:43:31</th>\n",
       "      <td>reasons to avoid carnival stock at current levels</td>\n",
       "      <td>CCL</td>\n",
       "      <td>seekingalpha.com</td>\n",
       "      <td>Cruise industry recovery to pre-COVID levels i...</td>\n",
       "      <td>0.018648</td>\n",
       "      <td>0.029586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 09:22:00</th>\n",
       "      <td>amid vaccine hurdles, eu battles to save summe...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>A \"digital green certificate” will be a proof ...</td>\n",
       "      <td>0.011445</td>\n",
       "      <td>0.007092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 05:30:00</th>\n",
       "      <td>american airlines joins debt-market behemoths</td>\n",
       "      <td>CCL</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Recent $10 billion financing transfers much of...</td>\n",
       "      <td>-0.009890</td>\n",
       "      <td>-0.009890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-16 16:44:00</th>\n",
       "      <td>carnival corp. stock falls tuesday, underperfo...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>Shares of Carnival Corp. slipped 5.17% to $28....</td>\n",
       "      <td>-0.000353</td>\n",
       "      <td>-0.009890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 06:33:00</th>\n",
       "      <td>snowflake will have to run extra hot</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Data warehousing provider’s soaring IPO puts i...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 05:04:00</th>\n",
       "      <td>62 biggest movers from yesterday</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>Benzinga</td>\n",
       "      <td>Gainers\\n\\nSnowflake Inc. (NYSE: SNOW) shares ...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 02:32:00</th>\n",
       "      <td>sumo logic prices ipo above indicated range, i...</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>Benzinga</td>\n",
       "      <td>Sumo Logic Inc (NASDAQ: SUMO) priced its initi...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 18:00:00</th>\n",
       "      <td>snowflakes stock price soars in ipo</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Snowflake’s shares made their debut at $245 a ...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 19:34:00</th>\n",
       "      <td>snowflake stock: what you need to know about t...</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>wsj</td>\n",
       "      <td>The data-management company’s strong revenue g...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>28209 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                              headline  \\\n",
       "time                                                                     \n",
       "2021-03-17 16:43:00  carnival corp. stock outperforms market on str...   \n",
       "2021-03-17 10:43:31  reasons to avoid carnival stock at current levels   \n",
       "2021-03-17 09:22:00  amid vaccine hurdles, eu battles to save summe...   \n",
       "2021-03-17 05:30:00      american airlines joins debt-market behemoths   \n",
       "2021-03-16 16:44:00  carnival corp. stock falls tuesday, underperfo...   \n",
       "...                                                                ...   \n",
       "2020-09-17 06:33:00               snowflake will have to run extra hot   \n",
       "2020-09-17 05:04:00                   62 biggest movers from yesterday   \n",
       "2020-09-17 02:32:00  sumo logic prices ipo above indicated range, i...   \n",
       "2020-09-16 18:00:00                snowflakes stock price soars in ipo   \n",
       "2020-09-16 19:34:00  snowflake stock: what you need to know about t...   \n",
       "\n",
       "                    related            source  \\\n",
       "time                                            \n",
       "2021-03-17 16:43:00     CCL       MarketWatch   \n",
       "2021-03-17 10:43:31     CCL  seekingalpha.com   \n",
       "2021-03-17 09:22:00     CCL       MarketWatch   \n",
       "2021-03-17 05:30:00     CCL          DowJones   \n",
       "2021-03-16 16:44:00     CCL       MarketWatch   \n",
       "...                     ...               ...   \n",
       "2020-09-17 06:33:00    SNOW          DowJones   \n",
       "2020-09-17 05:04:00    SNOW          Benzinga   \n",
       "2020-09-17 02:32:00    SNOW          Benzinga   \n",
       "2020-09-16 18:00:00    SNOW          DowJones   \n",
       "2020-09-16 19:34:00    SNOW               wsj   \n",
       "\n",
       "                                                               summary  \\\n",
       "time                                                                     \n",
       "2021-03-17 16:43:00  Shares of Carnival Corp. rallied 2.41% to $28....   \n",
       "2021-03-17 10:43:31  Cruise industry recovery to pre-COVID levels i...   \n",
       "2021-03-17 09:22:00  A \"digital green certificate” will be a proof ...   \n",
       "2021-03-17 05:30:00  Recent $10 billion financing transfers much of...   \n",
       "2021-03-16 16:44:00  Shares of Carnival Corp. slipped 5.17% to $28....   \n",
       "...                                                                ...   \n",
       "2020-09-17 06:33:00  Data warehousing provider’s soaring IPO puts i...   \n",
       "2020-09-17 05:04:00  Gainers\\n\\nSnowflake Inc. (NYSE: SNOW) shares ...   \n",
       "2020-09-17 02:32:00  Sumo Logic Inc (NASDAQ: SUMO) priced its initi...   \n",
       "2020-09-16 18:00:00  Snowflake’s shares made their debut at $245 a ...   \n",
       "2020-09-16 19:34:00  The data-management company’s strong revenue g...   \n",
       "\n",
       "                     change_1h  change_4h  \n",
       "time                                       \n",
       "2021-03-17 16:43:00   0.001385   0.022507  \n",
       "2021-03-17 10:43:31   0.018648   0.029586  \n",
       "2021-03-17 09:22:00   0.011445   0.007092  \n",
       "2021-03-17 05:30:00  -0.009890  -0.009890  \n",
       "2021-03-16 16:44:00  -0.000353  -0.009890  \n",
       "...                        ...        ...  \n",
       "2020-09-17 06:33:00  -0.053278  -0.053278  \n",
       "2020-09-17 05:04:00  -0.053278  -0.053278  \n",
       "2020-09-17 02:32:00  -0.053278  -0.053278  \n",
       "2020-09-16 18:00:00  -0.053278  -0.053278  \n",
       "2020-09-16 19:34:00  -0.053278  -0.053278  \n",
       "\n",
       "[28209 rows x 6 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "brief-league",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import FunctionTransformer\n",
    "import spacy\n",
    "nlp = spacy.load(\"en_core_web_sm\")\n",
    "\n",
    "def pipelinize(function, active=True):\n",
    "    # Adapted from https://ryan-cranfill.github.io/sentiment-pipeline-sklearn-3/\n",
    "    def list_comprehend_a_function(list_or_series, active=True):\n",
    "        if active:\n",
    "            return [function(i) for i in list_or_series]\n",
    "        else: # if it's not active, just pass it right back\n",
    "            return list_or_series\n",
    "    return FunctionTransformer(list_comprehend_a_function, validate=False, kw_args={'active':active})\n",
    "\n",
    "def spacy_tokenizer_lemmatizer(text):\n",
    "    doc = nlp(text)\n",
    "    lemma_list = []\n",
    "    for token in doc:\n",
    "        if token.is_stop is False:\n",
    "            lemma_list.append(token.lemma_)\n",
    "    \n",
    "    out = \" \".join(lemma_list)\n",
    "    return(preprocessor_final(out))\n",
    "\n",
    "\n",
    "def preprocessor_final(text):\n",
    "    if isinstance((text), (str)):\n",
    "        text = re.sub('<[^>]*>', ' ', text)\n",
    "        text = re.sub('[\\W]+', ' ', text.lower())\n",
    "        return text\n",
    "    \n",
    "    if isinstance((text), (list)):\n",
    "        return_list = []\n",
    "\n",
    "        for i in range(len(text)):\n",
    "            temp_text = re.sub('<[^>]*>', '', text[i])\n",
    "            temp_text = re.sub('[\\W]+', '', temp_text.lower())\n",
    "            \n",
    "            if len(temp_text) != 0:\n",
    "                return_list.append(temp_text)\n",
    "                \n",
    "        return(return_list)\n",
    "    else:\n",
    "        pass\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "eleven-liberia",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cruise stocks get upgraded by macquarie, because covids worst is in the past\n",
      "Wall time: 3min 24s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "sample_text = df_sample['headline'].iloc[4]\n",
    "print(sample_text)\n",
    "df['headline_clean'] = df.headline.apply(spacy_tokenizer_lemmatizer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "electronic-glossary",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-17 16:43:00</th>\n",
       "      <td>carnival corp. stock outperforms market on str...</td>\n",
       "      <td>carnival corp stock outperform market strong t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 10:43:31</th>\n",
       "      <td>reasons to avoid carnival stock at current levels</td>\n",
       "      <td>reason avoid carnival stock current level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 09:22:00</th>\n",
       "      <td>amid vaccine hurdles, eu battles to save summe...</td>\n",
       "      <td>amid vaccine hurdle eu battle save summer vaca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 05:30:00</th>\n",
       "      <td>american airlines joins debt-market behemoths</td>\n",
       "      <td>american airline join debt market behemoth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-16 16:44:00</th>\n",
       "      <td>carnival corp. stock falls tuesday, underperfo...</td>\n",
       "      <td>carnival corp stock fall tuesday underperform ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 06:33:00</th>\n",
       "      <td>snowflake will have to run extra hot</td>\n",
       "      <td>snowflake run extra hot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 05:04:00</th>\n",
       "      <td>62 biggest movers from yesterday</td>\n",
       "      <td>62 big mover yesterday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 02:32:00</th>\n",
       "      <td>sumo logic prices ipo above indicated range, i...</td>\n",
       "      <td>sumo logic price ipo indicate range software s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 18:00:00</th>\n",
       "      <td>snowflakes stock price soars in ipo</td>\n",
       "      <td>snowflake stock price soar ipo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 19:34:00</th>\n",
       "      <td>snowflake stock: what you need to know about t...</td>\n",
       "      <td>snowflake stock need know tech hot ipo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>28209 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                              headline  \\\n",
       "time                                                                     \n",
       "2021-03-17 16:43:00  carnival corp. stock outperforms market on str...   \n",
       "2021-03-17 10:43:31  reasons to avoid carnival stock at current levels   \n",
       "2021-03-17 09:22:00  amid vaccine hurdles, eu battles to save summe...   \n",
       "2021-03-17 05:30:00      american airlines joins debt-market behemoths   \n",
       "2021-03-16 16:44:00  carnival corp. stock falls tuesday, underperfo...   \n",
       "...                                                                ...   \n",
       "2020-09-17 06:33:00               snowflake will have to run extra hot   \n",
       "2020-09-17 05:04:00                   62 biggest movers from yesterday   \n",
       "2020-09-17 02:32:00  sumo logic prices ipo above indicated range, i...   \n",
       "2020-09-16 18:00:00                snowflakes stock price soars in ipo   \n",
       "2020-09-16 19:34:00  snowflake stock: what you need to know about t...   \n",
       "\n",
       "                                                        headline_clean  \n",
       "time                                                                    \n",
       "2021-03-17 16:43:00  carnival corp stock outperform market strong t...  \n",
       "2021-03-17 10:43:31          reason avoid carnival stock current level  \n",
       "2021-03-17 09:22:00  amid vaccine hurdle eu battle save summer vaca...  \n",
       "2021-03-17 05:30:00         american airline join debt market behemoth  \n",
       "2021-03-16 16:44:00  carnival corp stock fall tuesday underperform ...  \n",
       "...                                                                ...  \n",
       "2020-09-17 06:33:00                            snowflake run extra hot  \n",
       "2020-09-17 05:04:00                             62 big mover yesterday  \n",
       "2020-09-17 02:32:00  sumo logic price ipo indicate range software s...  \n",
       "2020-09-16 18:00:00                     snowflake stock price soar ipo  \n",
       "2020-09-16 19:34:00             snowflake stock need know tech hot ipo  \n",
       "\n",
       "[28209 rows x 2 columns]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['headline','headline_clean']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ordered-custody",
   "metadata": {},
   "source": [
    "## Sentiment analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "negative-course",
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_sentimentLabel(df, col):\n",
    "    \"\"\" \n",
    "    Add sentiment label and scores to columns in dataframe.\n",
    "    Ref: https://stackoverflow.com/questions/16236684/apply-pandas-function-to-column-to-create-multiple-new-columns#\n",
    "    \"\"\"\n",
    "\n",
    "    columns = ['sentiment', 'sentiment_scores']\n",
    "    temp = list(zip(*df[col].map(sentimentLabel))); \n",
    "    for i, c in enumerate(columns): \n",
    "        df[c] = temp[i]\n",
    "    print('Sentiment analysis complete.')\n",
    "    return df\n",
    "        \n",
    "def sentimentLabel(text, new_words={}):\n",
    "    \"\"\" \n",
    "    Determine sentiment of a tweet: -1 negative, 0 neutral, 1 positive.\n",
    "        In docs: https://github.com/cjhutto/vaderSentiment#about-the-scoring\n",
    "        positive sentiment: compound score >= 0.05\n",
    "        neutral sentiment: (compound score > -0.05) and (compound score < 0.05)\n",
    "        negative sentiment: compound score <= -0.05\n",
    "        If you want to be more selective, increase threshold.\n",
    "    \"\"\"\n",
    "    sia = SentimentIntensityAnalyzer() \n",
    "    \n",
    "    if new_words:\n",
    "        sia.lexicon.update(new_words)\n",
    "        \n",
    "    sentimentScores = sia.polarity_scores(text) \n",
    "    score = sentimentScores['compound']\n",
    "\n",
    "    if score<=-SENTIMENT_THRESHOLD:       # negative\n",
    "        return -1, sentimentScores\n",
    "    elif score>=SENTIMENT_THRESHOLD:      # positive-words\n",
    "        return 1, sentimentScores\n",
    "    else:                                 # neutral\n",
    "        return 0, sentimentScores     \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "tough-participation",
   "metadata": {},
   "outputs": [],
   "source": [
    "SENTIMENT_THRESHOLD = 0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "champion-fusion",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sentiment analysis complete.\n",
      "Wall time: 4min 45s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "df_sentiment = df.copy()\n",
    "df_sentiment = run_sentimentLabel(df_sentiment, 'headline_clean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "lightweight-rachel",
   "metadata": {},
   "outputs": [],
   "source": [
    "def exampleBySentiment(df, n, col):\n",
    "    \"\"\"Return n examples from each sentiment label.\"\"\"\n",
    "    print(f'{n} example tweets from each topic: ')\n",
    "    samples = {}\n",
    "    for i, s in enumerate(df['sentiment'].unique()):\n",
    "        samples[s] = df.query(\"sentiment==@s\").sample(n)[col].to_list()\n",
    "    pprint(samples)\n",
    "    return samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "commercial-modification",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 example tweets from each topic: \n",
      "{-1: [\"dow jones futures: after worst week since march, don't feed the bears! \"\n",
      "      \"here's what to do now\",\n",
      "      'why apple might lose the us governments war on google'],\n",
      " 0: ['82 biggest movers from yesterday',\n",
      "     'dow slips friday, nasdaq logs back-to-back declines amid rising '\n",
      "     'china-u.s. tensions and languishing fiscal stimulus'],\n",
      " 1: ['miller value partners opportunity equity 2q 2020 letter',\n",
      "     '6 easy ways to clean & protect suede shoes']}\n"
     ]
    }
   ],
   "source": [
    "examples = exampleBySentiment(df_sentiment, 2, 'headline')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "judicial-cutting",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>headline</th>\n",
       "      <th>related</th>\n",
       "      <th>source</th>\n",
       "      <th>summary</th>\n",
       "      <th>change_1h</th>\n",
       "      <th>change_4h</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>sentiment_scores</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-17 16:43:00</th>\n",
       "      <td>carnival corp. stock outperforms market on str...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>Shares of Carnival Corp. rallied 2.41% to $28....</td>\n",
       "      <td>0.001385</td>\n",
       "      <td>0.022507</td>\n",
       "      <td>1</td>\n",
       "      <td>{'neg': 0.0, 'neu': 0.708, 'pos': 0.292, 'comp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 10:43:31</th>\n",
       "      <td>reasons to avoid carnival stock at current levels</td>\n",
       "      <td>CCL</td>\n",
       "      <td>seekingalpha.com</td>\n",
       "      <td>Cruise industry recovery to pre-COVID levels i...</td>\n",
       "      <td>0.018648</td>\n",
       "      <td>0.029586</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.239, 'neu': 0.761, 'pos': 0.0, 'comp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 09:22:00</th>\n",
       "      <td>amid vaccine hurdles, eu battles to save summe...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>A \"digital green certificate” will be a proof ...</td>\n",
       "      <td>0.011445</td>\n",
       "      <td>0.007092</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.155, 'neu': 0.655, 'pos': 0.19, 'com...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 05:30:00</th>\n",
       "      <td>american airlines joins debt-market behemoths</td>\n",
       "      <td>CCL</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Recent $10 billion financing transfers much of...</td>\n",
       "      <td>-0.009890</td>\n",
       "      <td>-0.009890</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-16 16:44:00</th>\n",
       "      <td>carnival corp. stock falls tuesday, underperfo...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>Shares of Carnival Corp. slipped 5.17% to $28....</td>\n",
       "      <td>-0.000353</td>\n",
       "      <td>-0.009890</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 06:33:00</th>\n",
       "      <td>snowflake will have to run extra hot</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Data warehousing provider’s soaring IPO puts i...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 05:04:00</th>\n",
       "      <td>62 biggest movers from yesterday</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>Benzinga</td>\n",
       "      <td>Gainers\\n\\nSnowflake Inc. (NYSE: SNOW) shares ...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 02:32:00</th>\n",
       "      <td>sumo logic prices ipo above indicated range, i...</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>Benzinga</td>\n",
       "      <td>Sumo Logic Inc (NASDAQ: SUMO) priced its initi...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 18:00:00</th>\n",
       "      <td>snowflakes stock price soars in ipo</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Snowflake’s shares made their debut at $245 a ...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 19:34:00</th>\n",
       "      <td>snowflake stock: what you need to know about t...</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>wsj</td>\n",
       "      <td>The data-management company’s strong revenue g...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>28209 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                              headline  \\\n",
       "time                                                                     \n",
       "2021-03-17 16:43:00  carnival corp. stock outperforms market on str...   \n",
       "2021-03-17 10:43:31  reasons to avoid carnival stock at current levels   \n",
       "2021-03-17 09:22:00  amid vaccine hurdles, eu battles to save summe...   \n",
       "2021-03-17 05:30:00      american airlines joins debt-market behemoths   \n",
       "2021-03-16 16:44:00  carnival corp. stock falls tuesday, underperfo...   \n",
       "...                                                                ...   \n",
       "2020-09-17 06:33:00               snowflake will have to run extra hot   \n",
       "2020-09-17 05:04:00                   62 biggest movers from yesterday   \n",
       "2020-09-17 02:32:00  sumo logic prices ipo above indicated range, i...   \n",
       "2020-09-16 18:00:00                snowflakes stock price soars in ipo   \n",
       "2020-09-16 19:34:00  snowflake stock: what you need to know about t...   \n",
       "\n",
       "                    related            source  \\\n",
       "time                                            \n",
       "2021-03-17 16:43:00     CCL       MarketWatch   \n",
       "2021-03-17 10:43:31     CCL  seekingalpha.com   \n",
       "2021-03-17 09:22:00     CCL       MarketWatch   \n",
       "2021-03-17 05:30:00     CCL          DowJones   \n",
       "2021-03-16 16:44:00     CCL       MarketWatch   \n",
       "...                     ...               ...   \n",
       "2020-09-17 06:33:00    SNOW          DowJones   \n",
       "2020-09-17 05:04:00    SNOW          Benzinga   \n",
       "2020-09-17 02:32:00    SNOW          Benzinga   \n",
       "2020-09-16 18:00:00    SNOW          DowJones   \n",
       "2020-09-16 19:34:00    SNOW               wsj   \n",
       "\n",
       "                                                               summary  \\\n",
       "time                                                                     \n",
       "2021-03-17 16:43:00  Shares of Carnival Corp. rallied 2.41% to $28....   \n",
       "2021-03-17 10:43:31  Cruise industry recovery to pre-COVID levels i...   \n",
       "2021-03-17 09:22:00  A \"digital green certificate” will be a proof ...   \n",
       "2021-03-17 05:30:00  Recent $10 billion financing transfers much of...   \n",
       "2021-03-16 16:44:00  Shares of Carnival Corp. slipped 5.17% to $28....   \n",
       "...                                                                ...   \n",
       "2020-09-17 06:33:00  Data warehousing provider’s soaring IPO puts i...   \n",
       "2020-09-17 05:04:00  Gainers\\n\\nSnowflake Inc. (NYSE: SNOW) shares ...   \n",
       "2020-09-17 02:32:00  Sumo Logic Inc (NASDAQ: SUMO) priced its initi...   \n",
       "2020-09-16 18:00:00  Snowflake’s shares made their debut at $245 a ...   \n",
       "2020-09-16 19:34:00  The data-management company’s strong revenue g...   \n",
       "\n",
       "                     change_1h  change_4h  sentiment  \\\n",
       "time                                                   \n",
       "2021-03-17 16:43:00   0.001385   0.022507          1   \n",
       "2021-03-17 10:43:31   0.018648   0.029586          0   \n",
       "2021-03-17 09:22:00   0.011445   0.007092          0   \n",
       "2021-03-17 05:30:00  -0.009890  -0.009890          0   \n",
       "2021-03-16 16:44:00  -0.000353  -0.009890          0   \n",
       "...                        ...        ...        ...   \n",
       "2020-09-17 06:33:00  -0.053278  -0.053278          0   \n",
       "2020-09-17 05:04:00  -0.053278  -0.053278          0   \n",
       "2020-09-17 02:32:00  -0.053278  -0.053278          0   \n",
       "2020-09-16 18:00:00  -0.053278  -0.053278          0   \n",
       "2020-09-16 19:34:00  -0.053278  -0.053278          0   \n",
       "\n",
       "                                                      sentiment_scores  \n",
       "time                                                                    \n",
       "2021-03-17 16:43:00  {'neg': 0.0, 'neu': 0.708, 'pos': 0.292, 'comp...  \n",
       "2021-03-17 10:43:31  {'neg': 0.239, 'neu': 0.761, 'pos': 0.0, 'comp...  \n",
       "2021-03-17 09:22:00  {'neg': 0.155, 'neu': 0.655, 'pos': 0.19, 'com...  \n",
       "2021-03-17 05:30:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2021-03-16 16:44:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "...                                                                ...  \n",
       "2020-09-17 06:33:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2020-09-17 05:04:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2020-09-17 02:32:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2020-09-16 18:00:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2020-09-16 19:34:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "\n",
       "[28209 rows x 8 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sentiment\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "floating-butterfly",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('carnival corp stock fall tuesday underperform market',\n",
       " (0, {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}))"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[4].headline_clean, sentimentLabel(df.iloc[4].headline_clean)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "extraordinary-evans",
   "metadata": {},
   "source": [
    "Vocabulary is limited for Vader and does not register words like 'fall' and 'underperforms' as negative words. Just get all neutral --> useless.\n",
    "\n",
    "Need to add new vocabulary to vader sentiment analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "defensive-column",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_words = {\n",
    "    'fall': -1.0,\n",
    "    'underperform': -1.4,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "threatened-surrey",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 11.1 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('carnival corp stock fall tuesday underperform market',\n",
       " (-1, {'neg': 0.468, 'neu': 0.532, 'pos': 0.0, 'compound': -0.5267}))"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "df.iloc[4].headline_clean, sentimentLabel(df.iloc[4].headline_clean, new_words)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "double-context",
   "metadata": {},
   "source": [
    "## Changing compound score threshold for sentiment classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "public-owner",
   "metadata": {},
   "outputs": [],
   "source": [
    "def change_sentiment(compound_score, threshold):\n",
    "    if compound_score >= threshold:\n",
    "        return 1\n",
    "    elif compound_score <= -threshold:\n",
    "        return -1\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "def test_threshold(df, threshold):\n",
    "    sentiment_score_threshold = threshold\n",
    "    df.sentiment = df.sentiment_scores.apply(lambda x: change_sentiment(x['compound'], sentiment_score_threshold))\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "biological-remove",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sentiment = test_threshold(df_sentiment, 0.1);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "greek-strain",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>headline</th>\n",
       "      <th>related</th>\n",
       "      <th>source</th>\n",
       "      <th>summary</th>\n",
       "      <th>change_1h</th>\n",
       "      <th>change_4h</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>sentiment_scores</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-17 16:43:00</th>\n",
       "      <td>carnival corp. stock outperforms market on str...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>Shares of Carnival Corp. rallied 2.41% to $28....</td>\n",
       "      <td>0.001385</td>\n",
       "      <td>0.022507</td>\n",
       "      <td>1</td>\n",
       "      <td>{'neg': 0.0, 'neu': 0.708, 'pos': 0.292, 'comp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 10:43:31</th>\n",
       "      <td>reasons to avoid carnival stock at current levels</td>\n",
       "      <td>CCL</td>\n",
       "      <td>seekingalpha.com</td>\n",
       "      <td>Cruise industry recovery to pre-COVID levels i...</td>\n",
       "      <td>0.018648</td>\n",
       "      <td>0.029586</td>\n",
       "      <td>-1</td>\n",
       "      <td>{'neg': 0.239, 'neu': 0.761, 'pos': 0.0, 'comp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 09:22:00</th>\n",
       "      <td>amid vaccine hurdles, eu battles to save summe...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>A \"digital green certificate” will be a proof ...</td>\n",
       "      <td>0.011445</td>\n",
       "      <td>0.007092</td>\n",
       "      <td>1</td>\n",
       "      <td>{'neg': 0.155, 'neu': 0.655, 'pos': 0.19, 'com...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-17 05:30:00</th>\n",
       "      <td>american airlines joins debt-market behemoths</td>\n",
       "      <td>CCL</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Recent $10 billion financing transfers much of...</td>\n",
       "      <td>-0.009890</td>\n",
       "      <td>-0.009890</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-16 16:44:00</th>\n",
       "      <td>carnival corp. stock falls tuesday, underperfo...</td>\n",
       "      <td>CCL</td>\n",
       "      <td>MarketWatch</td>\n",
       "      <td>Shares of Carnival Corp. slipped 5.17% to $28....</td>\n",
       "      <td>-0.000353</td>\n",
       "      <td>-0.009890</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 06:33:00</th>\n",
       "      <td>snowflake will have to run extra hot</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Data warehousing provider’s soaring IPO puts i...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 05:04:00</th>\n",
       "      <td>62 biggest movers from yesterday</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>Benzinga</td>\n",
       "      <td>Gainers\\n\\nSnowflake Inc. (NYSE: SNOW) shares ...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-17 02:32:00</th>\n",
       "      <td>sumo logic prices ipo above indicated range, i...</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>Benzinga</td>\n",
       "      <td>Sumo Logic Inc (NASDAQ: SUMO) priced its initi...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 18:00:00</th>\n",
       "      <td>snowflakes stock price soars in ipo</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>DowJones</td>\n",
       "      <td>Snowflake’s shares made their debut at $245 a ...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-16 19:34:00</th>\n",
       "      <td>snowflake stock: what you need to know about t...</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>wsj</td>\n",
       "      <td>The data-management company’s strong revenue g...</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>-0.053278</td>\n",
       "      <td>0</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>28209 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                              headline  \\\n",
       "time                                                                     \n",
       "2021-03-17 16:43:00  carnival corp. stock outperforms market on str...   \n",
       "2021-03-17 10:43:31  reasons to avoid carnival stock at current levels   \n",
       "2021-03-17 09:22:00  amid vaccine hurdles, eu battles to save summe...   \n",
       "2021-03-17 05:30:00      american airlines joins debt-market behemoths   \n",
       "2021-03-16 16:44:00  carnival corp. stock falls tuesday, underperfo...   \n",
       "...                                                                ...   \n",
       "2020-09-17 06:33:00               snowflake will have to run extra hot   \n",
       "2020-09-17 05:04:00                   62 biggest movers from yesterday   \n",
       "2020-09-17 02:32:00  sumo logic prices ipo above indicated range, i...   \n",
       "2020-09-16 18:00:00                snowflakes stock price soars in ipo   \n",
       "2020-09-16 19:34:00  snowflake stock: what you need to know about t...   \n",
       "\n",
       "                    related            source  \\\n",
       "time                                            \n",
       "2021-03-17 16:43:00     CCL       MarketWatch   \n",
       "2021-03-17 10:43:31     CCL  seekingalpha.com   \n",
       "2021-03-17 09:22:00     CCL       MarketWatch   \n",
       "2021-03-17 05:30:00     CCL          DowJones   \n",
       "2021-03-16 16:44:00     CCL       MarketWatch   \n",
       "...                     ...               ...   \n",
       "2020-09-17 06:33:00    SNOW          DowJones   \n",
       "2020-09-17 05:04:00    SNOW          Benzinga   \n",
       "2020-09-17 02:32:00    SNOW          Benzinga   \n",
       "2020-09-16 18:00:00    SNOW          DowJones   \n",
       "2020-09-16 19:34:00    SNOW               wsj   \n",
       "\n",
       "                                                               summary  \\\n",
       "time                                                                     \n",
       "2021-03-17 16:43:00  Shares of Carnival Corp. rallied 2.41% to $28....   \n",
       "2021-03-17 10:43:31  Cruise industry recovery to pre-COVID levels i...   \n",
       "2021-03-17 09:22:00  A \"digital green certificate” will be a proof ...   \n",
       "2021-03-17 05:30:00  Recent $10 billion financing transfers much of...   \n",
       "2021-03-16 16:44:00  Shares of Carnival Corp. slipped 5.17% to $28....   \n",
       "...                                                                ...   \n",
       "2020-09-17 06:33:00  Data warehousing provider’s soaring IPO puts i...   \n",
       "2020-09-17 05:04:00  Gainers\\n\\nSnowflake Inc. (NYSE: SNOW) shares ...   \n",
       "2020-09-17 02:32:00  Sumo Logic Inc (NASDAQ: SUMO) priced its initi...   \n",
       "2020-09-16 18:00:00  Snowflake’s shares made their debut at $245 a ...   \n",
       "2020-09-16 19:34:00  The data-management company’s strong revenue g...   \n",
       "\n",
       "                     change_1h  change_4h  sentiment  \\\n",
       "time                                                   \n",
       "2021-03-17 16:43:00   0.001385   0.022507          1   \n",
       "2021-03-17 10:43:31   0.018648   0.029586         -1   \n",
       "2021-03-17 09:22:00   0.011445   0.007092          1   \n",
       "2021-03-17 05:30:00  -0.009890  -0.009890          0   \n",
       "2021-03-16 16:44:00  -0.000353  -0.009890          0   \n",
       "...                        ...        ...        ...   \n",
       "2020-09-17 06:33:00  -0.053278  -0.053278          0   \n",
       "2020-09-17 05:04:00  -0.053278  -0.053278          0   \n",
       "2020-09-17 02:32:00  -0.053278  -0.053278          0   \n",
       "2020-09-16 18:00:00  -0.053278  -0.053278          0   \n",
       "2020-09-16 19:34:00  -0.053278  -0.053278          0   \n",
       "\n",
       "                                                      sentiment_scores  \n",
       "time                                                                    \n",
       "2021-03-17 16:43:00  {'neg': 0.0, 'neu': 0.708, 'pos': 0.292, 'comp...  \n",
       "2021-03-17 10:43:31  {'neg': 0.239, 'neu': 0.761, 'pos': 0.0, 'comp...  \n",
       "2021-03-17 09:22:00  {'neg': 0.155, 'neu': 0.655, 'pos': 0.19, 'com...  \n",
       "2021-03-17 05:30:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2021-03-16 16:44:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "...                                                                ...  \n",
       "2020-09-17 06:33:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2020-09-17 05:04:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2020-09-17 02:32:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2020-09-16 18:00:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "2020-09-16 19:34:00  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...  \n",
       "\n",
       "[28209 rows x 8 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "administrative-loading",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "declared-remark",
   "metadata": {},
   "source": [
    "## Wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "hindu-creation",
   "metadata": {},
   "outputs": [],
   "source": [
    "def genWordCloud(text_series, words_to_remove=None, save=False):\n",
    "    \"\"\" \n",
    "    Create word cloud given input text series.\n",
    "\n",
    "    Common stop words:\n",
    "    [\"stop stop\"]\n",
    "    [\"facemasks\",\"facemask\",\"face masks\",\"mask\",\n",
    "                             \"face covering\", \"facecovering\",\"face\",\n",
    "                             \"people\",\"today\",\"wearing\", \"mandatory mandatory\",\n",
    "                             \"mandatory\", \"protect protect\"]\n",
    "    #['vaccine','vaccines','vaccination','will']\n",
    "    #['test', 'trace', 'testandtrace']\n",
    "    \"\"\"\n",
    "    all_text = \" \".join(text_series.astype(str))\n",
    "\n",
    "    #for word in topic_words_to_remove:\n",
    "    #    all_text = all_text.replace(word, \"\")\n",
    "\n",
    "    stop_words = list(STOPWORDS.union(set(stopwords.words('english')))) + words_to_remove\n",
    "\n",
    "    wordcloud = WordCloud( max_words=200, \n",
    "                            background_color=\"white\",\n",
    "                            width=1600, height=800,\n",
    "                            stopwords = stop_words,\n",
    "                            min_word_length = 3,).generate(all_text)\n",
    "    plt.figure( figsize=(10,8), facecolor='w')\n",
    "    plt.imshow(wordcloud, interpolation='bilinear')\n",
    "    plt.axis(\"off\")\n",
    "    plt.tight_layout(pad=0)\n",
    "    plt.show()\n",
    "    if save:\n",
    "        plt.savefig('wordcloud.png', facecolor='k', bbox_inches='tight')\n",
    "    return wordcloud\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "respected-archives",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "WORDS_TO_REMOVE = [\"stock\"]\n",
    "df_sample = df[(df['change_1h']<0) & (df['change_4h']<0)]\n",
    "wc = genWordCloud(df_sample['headline'], WORDS_TO_REMOVE)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}