OCR.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Optical Character Recognition(OCR) with Tesseract, OpenCV, and Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building word clouds on Review images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 1: Create list of all the available review images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['1.PNG',\n",
       " '10.PNG',\n",
       " '11.PNG',\n",
       " '12.PNG',\n",
       " '13.PNG',\n",
       " '14.PNG',\n",
       " '15.PNG',\n",
       " '2.PNG',\n",
       " '3.PNG',\n",
       " '4.PNG',\n",
       " '5.PNG',\n",
       " '6.PNG',\n",
       " '7.PNG',\n",
       " '8.PNG',\n",
       " '9.PNG']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "folderPath = \"Reviews\"\n",
    "myRevList = os.listdir(folderPath)\n",
    "myRevList"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 2: View all the images using `cv2.imshow()` method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "for image in  myRevList:\n",
    "    img = cv2.imread(f'{folderPath}/{image}')\n",
    "    cv2.imshow(\"Image\", img)\n",
    "    cv2.waitKey(0)\n",
    "    cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 3: Read text from images using pytesseract"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Dead pixel on new ipad 8th gen, Was request for a replacemnt, but no luck only refund available.\\n\\nIts 32 GB, but out of the box only 15gb available. Installed 2-3 apps and it became 11gb. Beware, ios apps\\nare really heavy. U may end up in outof storage really soon.\\n\\nIf u have budget, upgrde for 128gb. It wil be totally worh.\\n\\nDont think about the camera, only good for video calls.\\n\\nPerformace is Sstar rated. ios also.\\n\\x0c',\n",
       " 'Just go for it . Budget Ipads never disappoint @@ .\\nHowever if you are less of gaming person & budget tight then go for Ipad 7th gen especially on Great Indian Festival sale\\n\\n \\n\\x0c',\n",
       " \"This product marked my initiation into the Apple world, and | now agree that it's not just some brand-snobbishness that is behind the Apple cult - the product is genuinely an\\nend-to-end delight. | haven't used other iPads (all of which struck me as much more expensive vis-a-vis feature-rich), so perhaps | am not the most qualified reviewer of this\\n\\nproduct, but from my perspective, it is an excellent gadget to have, and an especially worthwhile buy for anyone who is fed up of lugging their heavy laptops around. The looks\\nare great, the speed is fantastic, and the features leave nothing more to ask for.\\n\\x0c\",\n",
       " \"Well, | don't use it for gaming. | just use it for surfing and other office stuff. | first have shifted from Android to Apple device, and | am really happy that I shifted. It's not because\\nof brand, but the quality of product. Though it has just 3 GB RAM, it nevers gets stuck. May be because of the integration of software and hardware is good.\\n\\x0c\",\n",
       " 'Best value for money for a dependable educational tool\\n\\x0c',\n",
       " 'This was my first ipad from apple .....price is soo friendly got i at €26003 with hdfc discount ... The old regret i have that i had bought 32gb varient WHY ? Battery backup is osm\\n\\nPerformance of A12 is supers ... Thanks for 20watt charger display is good but SOUND OUTPUT IS JUST NEXT LEVEL YOU CAN FEEL EVEN BEATS\\nCLEARLY EVEN AT LOW VOLUME .... Camera is just okok Amazon packing is soo disgusting that they had put a soft cardboard on the box only\\npaying a price of 26k please be responsive for intact packing ...thanks to god package arrive and device was fine\\n\\neven though am a gamer......\\n\\nI mean who did this if you are\\n\\n \\n\\x0c',\n",
       " \"Okay so | brought the 32gb version. And honestly | had to sell it to someone else on OLX after 3 days of usage. Reason being that the memory available remain is on 17GB.\\nWhich will get filled in matter of days. If you install couple of good games (3-4).\\n\\nFurther the sound from speaker is pathetic.\\n\\nDidn't expect both these from Apple.\\n\\nSo | sold this on OLX and brought Galaxy Tab S6 Lite (Wi-Fi) tab. It has 64gb hard drive and memory card support as well. Sound is also pretty good.\\n\\nPlease don't waste your money on Apple. Useless product with high price\\n\\x0c\",\n",
       " 'Best product so smooth fast and very secure. Built quality premium. Best Budget tablet for gaming,\\nstreaming, note taking amd many more. 10+ hours battery backup for normal usage. Loved the purchase.\\nAnd thanks amazon for fast and secure delivery.\\n\\x0c',\n",
       " 'pad 8 excels with A12 processor which makes it faster than iPad 7. Excellent display. Value for money iPad.\\nGo for 128gb model if you store more photos and videos.\\n\\x0c',\n",
       " 'Ipad is every bit worth. | will not get into its uses or how fantastic it feels as every one knows. | want to\\nshare one important information, ms office is not free on this ipad as the size of the ipad is 10.2 inch and\\napparently microsoft gives ms office free only for devices below 10.1 inch. If you want ms office this is not\\n\\nthe device for you. You can try ipad mini.\\n\\x0c',\n",
       " 'Awesome beast for gaming @@ and best budget ipad\\n\\x0c',\n",
       " 'iPad is very smooth, blazing fast with an excellent display. Browsing web , you tube and pdf reading is a delight on iPad. Students can purchase 32 GB which is enough if they\\ndon’t want to internally store videos and photos. Instead going for 128 go you can purchase a Samsun SSD and non apple usb 3 camera adapter which works like a charm...so\\ninstead getting 128gb you can make a system of 500 GB ssd at almost same price. Very good experience\\n\\x0c',\n",
       " '| bought this because it is highly needed for my MBBS course.\\nYou need to purchase a case for it because it is delicate\\nOverall great product\\n\\x0c',\n",
       " \"Wriiting a review after a month. Well it is apple so no wonder it has to be amazing. The con- the simcard slot for which we pay a good amount of money (by not just going for\\nonly WIFI one), it only has sim slot for 4g Ite. No calls. The sim card doesn't allow you to make calls. That was news to me, But no issues as it does allow me to survive with the\\nipad in a no wifi zone.\\n\\nSo, yes it is PERFECT\\n\\n \\n\\x0c\",\n",
       " \"Don't think too much about mini, Pro or Air models. The regular iPad is perfect for all needs. Great display and processor. For laptop feel, Buy an USB adapter and hub to\\nconnect pendrives, keyboard or mouse. | bought a cheaper apple pencil alternative just with palm rejection, It works great. And | loved digital note taking so far! 32GB is not\\nenough if you play many games. For basic purpose and media consumption, you can use 32GB for apps + external flash drive for media storage. It works perfect.\\n\\x0c\"]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import cv2\n",
    "import pytesseract\n",
    "pytesseract.pytesseract.tesseract_cmd=r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'\n",
    "\n",
    "corpus = []\n",
    "for images in myRevList:\n",
    "    img = cv2.imread(f'{folderPath}/{images}')\n",
    "    if img is None:\n",
    "        corpus.append(\"Could not read the image.\")\n",
    "    else:\n",
    "        rev = pytesseract.image_to_string(img)\n",
    "        corpus.append(rev)\n",
    "\n",
    "list(corpus)\n",
    "corpus"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 4: Create a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dead pixel on new ipad 8th gen, Was request fo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Just go for it . Budget Ipads never disappoint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>This product marked my initiation into the App...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Well, | don't use it for gaming. | just use it...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Best value for money for a dependable educatio...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>This was my first ipad from apple .....price i...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Okay so | brought the 32gb version. And honest...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Best product so smooth fast and very secure. B...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>pad 8 excels with A12 processor which makes it...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Ipad is every bit worth. | will not get into i...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Awesome beast for gaming @@ and best budget ip...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>iPad is very smooth, blazing fast with an exce...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>| bought this because it is highly needed for ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Wriiting a review after a month. Well it is ap...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Don't think too much about mini, Pro or Air mo...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Review\n",
       "0   Dead pixel on new ipad 8th gen, Was request fo...\n",
       "1   Just go for it . Budget Ipads never disappoint...\n",
       "2   This product marked my initiation into the App...\n",
       "3   Well, | don't use it for gaming. | just use it...\n",
       "4   Best value for money for a dependable educatio...\n",
       "5   This was my first ipad from apple .....price i...\n",
       "6   Okay so | brought the 32gb version. And honest...\n",
       "7   Best product so smooth fast and very secure. B...\n",
       "8   pad 8 excels with A12 processor which makes it...\n",
       "9   Ipad is every bit worth. | will not get into i...\n",
       "10  Awesome beast for gaming @@ and best budget ip...\n",
       "11  iPad is very smooth, blazing fast with an exce...\n",
       "12  | bought this because it is highly needed for ...\n",
       "13  Wriiting a review after a month. Well it is ap...\n",
       "14  Don't think too much about mini, Pro or Air mo..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = pd.DataFrame(list(corpus), columns=['Review'])\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 5: Preprocess the text - remove special characters, stopwords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Review</th>\n",
       "      <th>Cleaned Review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dead pixel on new ipad 8th gen, Was request fo...</td>\n",
       "      <td>Dead pixel on new ipad 8th gen  Was request fo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Just go for it . Budget Ipads never disappoint...</td>\n",
       "      <td>Just go for it   Budget Ipads never disappoint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>This product marked my initiation into the App...</td>\n",
       "      <td>This product marked my initiation into the App...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Well, | don't use it for gaming. | just use it...</td>\n",
       "      <td>Well    don t use it for gaming    just use it...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Best value for money for a dependable educatio...</td>\n",
       "      <td>Best value for money for a dependable educatio...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>This was my first ipad from apple .....price i...</td>\n",
       "      <td>This was my first ipad from apple  price is so...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Okay so | brought the 32gb version. And honest...</td>\n",
       "      <td>Okay so   brought the 32gb version  And honest...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Best product so smooth fast and very secure. B...</td>\n",
       "      <td>Best product so smooth fast and very secure  B...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>pad 8 excels with A12 processor which makes it...</td>\n",
       "      <td>pad 8 excels with A12 processor which makes it...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Ipad is every bit worth. | will not get into i...</td>\n",
       "      <td>Ipad is every bit worth    will not get into i...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Awesome beast for gaming @@ and best budget ip...</td>\n",
       "      <td>Awesome beast for gaming   and best budget ipad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>iPad is very smooth, blazing fast with an exce...</td>\n",
       "      <td>iPad is very smooth  blazing fast with an exce...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>| bought this because it is highly needed for ...</td>\n",
       "      <td>bought this because it is highly needed for ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Wriiting a review after a month. Well it is ap...</td>\n",
       "      <td>Wriiting a review after a month  Well it is ap...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Don't think too much about mini, Pro or Air mo...</td>\n",
       "      <td>Don t think too much about mini  Pro or Air mo...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Review  \\\n",
       "0   Dead pixel on new ipad 8th gen, Was request fo...   \n",
       "1   Just go for it . Budget Ipads never disappoint...   \n",
       "2   This product marked my initiation into the App...   \n",
       "3   Well, | don't use it for gaming. | just use it...   \n",
       "4   Best value for money for a dependable educatio...   \n",
       "5   This was my first ipad from apple .....price i...   \n",
       "6   Okay so | brought the 32gb version. And honest...   \n",
       "7   Best product so smooth fast and very secure. B...   \n",
       "8   pad 8 excels with A12 processor which makes it...   \n",
       "9   Ipad is every bit worth. | will not get into i...   \n",
       "10  Awesome beast for gaming @@ and best budget ip...   \n",
       "11  iPad is very smooth, blazing fast with an exce...   \n",
       "12  | bought this because it is highly needed for ...   \n",
       "13  Wriiting a review after a month. Well it is ap...   \n",
       "14  Don't think too much about mini, Pro or Air mo...   \n",
       "\n",
       "                                       Cleaned Review  \n",
       "0   Dead pixel on new ipad 8th gen  Was request fo...  \n",
       "1   Just go for it   Budget Ipads never disappoint...  \n",
       "2   This product marked my initiation into the App...  \n",
       "3   Well    don t use it for gaming    just use it...  \n",
       "4   Best value for money for a dependable educatio...  \n",
       "5   This was my first ipad from apple  price is so...  \n",
       "6   Okay so   brought the 32gb version  And honest...  \n",
       "7   Best product so smooth fast and very secure  B...  \n",
       "8   pad 8 excels with A12 processor which makes it...  \n",
       "9   Ipad is every bit worth    will not get into i...  \n",
       "10   Awesome beast for gaming   and best budget ipad   \n",
       "11  iPad is very smooth  blazing fast with an exce...  \n",
       "12    bought this because it is highly needed for ...  \n",
       "13  Wriiting a review after a month  Well it is ap...  \n",
       "14  Don t think too much about mini  Pro or Air mo...  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#removing special characters\n",
    "import re\n",
    "\n",
    "def clean(text):\n",
    "    return re.sub('[^A-Za-z0-9\" \"]+', ' ', text)\n",
    "\n",
    "data['Cleaned Review'] = data['Review'].apply(clean)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\harika\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "# removing stopwords\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "nltk.download(\"punkt\")\n",
    "from nltk import word_tokenize\n",
    "stop_words = stopwords.words('english')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "535\n"
     ]
    }
   ],
   "source": [
    "final_list = []\n",
    "for column in data[['Cleaned Review']]:\n",
    "    columnSeriesObj = data[column]\n",
    "    all_rev = columnSeriesObj.values\n",
    "    for i in range(len(all_rev)):\n",
    "        tokens = word_tokenize(all_rev[i])\n",
    "        for word in tokens:\n",
    "            if word.lower() not in stop_words:\n",
    "                final_list.append(word)\n",
    "print(len(final_list))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 6: Build Positive, Negative Word Clouds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[';;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;',\n",
       " '; ',\n",
       " '; Opinion Lexicon: Positive',\n",
       " ';',\n",
       " '; This file contains a list of POSITIVE opinion words (or sentiment words).',\n",
       " ';',\n",
       " '; This file and the papers can all be downloaded from ',\n",
       " ';    http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html',\n",
       " ';',\n",
       " '; If you use this list, please cite the following paper:',\n",
       " ';',\n",
       " ';   Minqing Hu and Bing Liu. \"Mining and Summarizing Customer Reviews.\" ',\n",
       " ';       Proceedings of the ACM SIGKDD International Conference on Knowledge ',\n",
       " ';       Discovery and Data Mining (KDD-2004), Aug 22-25, 2004, Seattle, ',\n",
       " ';       Washington, USA, ',\n",
       " '; Notes: ',\n",
       " ';    1. The appearance of an opinion word in a sentence does not necessarily  ',\n",
       " ';       mean that the sentence expresses a positive or negative opinion. ',\n",
       " ';       See the paper below:',\n",
       " ';',\n",
       " ';       Bing Liu. \"Sentiment Analysis and Subjectivity.\" An chapter in ',\n",
       " ';          Handbook of Natural Language Processing, Second Edition, ',\n",
       " ';          (editors: N. Indurkhya and F. J. Damerau), 2010.',\n",
       " ';',\n",
       " ';    2. You will notice many misspelled words in the list. They are not ',\n",
       " ';       mistakes. They are included as these misspelled words appear ',\n",
       " ';       frequently in social media content. ',\n",
       " ';',\n",
       " ';;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;',\n",
       " '',\n",
       " 'a+',\n",
       " 'abound',\n",
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       " 'gain',\n",
       " 'gained',\n",
       " 'gainful',\n",
       " 'gainfully',\n",
       " 'gaining',\n",
       " 'gains',\n",
       " 'gallant',\n",
       " 'gallantly',\n",
       " 'galore',\n",
       " 'geekier',\n",
       " 'geeky',\n",
       " 'gem',\n",
       " 'gems',\n",
       " 'generosity',\n",
       " 'generous',\n",
       " 'generously',\n",
       " 'genial',\n",
       " 'genius',\n",
       " 'gentle',\n",
       " 'gentlest',\n",
       " 'genuine',\n",
       " 'gifted',\n",
       " 'glad',\n",
       " 'gladden',\n",
       " 'gladly',\n",
       " 'gladness',\n",
       " 'glamorous',\n",
       " 'glee',\n",
       " 'gleeful',\n",
       " 'gleefully',\n",
       " 'glimmer',\n",
       " 'glimmering',\n",
       " 'glisten',\n",
       " 'glistening',\n",
       " 'glitter',\n",
       " 'glitz',\n",
       " 'glorify',\n",
       " 'glorious',\n",
       " 'gloriously',\n",
       " 'glory',\n",
       " 'glow',\n",
       " 'glowing',\n",
       " 'glowingly',\n",
       " 'god-given',\n",
       " 'god-send',\n",
       " 'godlike',\n",
       " 'godsend',\n",
       " 'gold',\n",
       " 'golden',\n",
       " 'good',\n",
       " 'goodly',\n",
       " 'goodness',\n",
       " 'goodwill',\n",
       " 'goood',\n",
       " 'gooood',\n",
       " 'gorgeous',\n",
       " 'gorgeously',\n",
       " 'grace',\n",
       " 'graceful',\n",
       " 'gracefully',\n",
       " 'gracious',\n",
       " 'graciously',\n",
       " 'graciousness',\n",
       " 'grand',\n",
       " 'grandeur',\n",
       " 'grateful',\n",
       " 'gratefully',\n",
       " 'gratification',\n",
       " 'gratified',\n",
       " 'gratifies',\n",
       " 'gratify',\n",
       " 'gratifying',\n",
       " 'gratifyingly',\n",
       " 'gratitude',\n",
       " 'great',\n",
       " 'greatest',\n",
       " 'greatness',\n",
       " 'grin',\n",
       " 'groundbreaking',\n",
       " 'guarantee',\n",
       " 'guidance',\n",
       " 'guiltless',\n",
       " 'gumption',\n",
       " 'gush',\n",
       " 'gusto',\n",
       " 'gutsy',\n",
       " 'hail',\n",
       " 'halcyon',\n",
       " 'hale',\n",
       " 'hallmark',\n",
       " 'hallmarks',\n",
       " 'hallowed',\n",
       " 'handier',\n",
       " 'handily',\n",
       " 'hands-down',\n",
       " 'handsome',\n",
       " 'handsomely',\n",
       " 'handy',\n",
       " 'happier',\n",
       " 'happily',\n",
       " 'happiness',\n",
       " 'happy',\n",
       " 'hard-working',\n",
       " 'hardier',\n",
       " 'hardy',\n",
       " 'harmless',\n",
       " 'harmonious',\n",
       " 'harmoniously',\n",
       " 'harmonize',\n",
       " 'harmony',\n",
       " 'headway',\n",
       " 'heal',\n",
       " 'healthful',\n",
       " 'healthy',\n",
       " 'hearten',\n",
       " 'heartening',\n",
       " 'heartfelt',\n",
       " 'heartily',\n",
       " 'heartwarming',\n",
       " 'heaven',\n",
       " 'heavenly',\n",
       " 'helped',\n",
       " 'helpful',\n",
       " 'helping',\n",
       " 'hero',\n",
       " 'heroic',\n",
       " 'heroically',\n",
       " 'heroine',\n",
       " 'heroize',\n",
       " 'heros',\n",
       " 'high-quality',\n",
       " 'high-spirited',\n",
       " 'hilarious',\n",
       " 'holy',\n",
       " 'homage',\n",
       " 'honest',\n",
       " 'honesty',\n",
       " 'honor',\n",
       " 'honorable',\n",
       " 'honored',\n",
       " 'honoring',\n",
       " 'hooray',\n",
       " 'hopeful',\n",
       " 'hospitable',\n",
       " 'hot',\n",
       " 'hotcake',\n",
       " 'hotcakes',\n",
       " 'hottest',\n",
       " 'hug',\n",
       " 'humane',\n",
       " 'humble',\n",
       " 'humility',\n",
       " 'humor',\n",
       " 'humorous',\n",
       " 'humorously',\n",
       " 'humour',\n",
       " 'humourous',\n",
       " 'ideal',\n",
       " 'idealize',\n",
       " 'ideally',\n",
       " 'idol',\n",
       " 'idolize',\n",
       " 'idolized',\n",
       " 'idyllic',\n",
       " 'illuminate',\n",
       " 'illuminati',\n",
       " 'illuminating',\n",
       " 'illumine',\n",
       " 'illustrious',\n",
       " 'ilu',\n",
       " 'imaculate',\n",
       " 'imaginative',\n",
       " 'immaculate',\n",
       " 'immaculately',\n",
       " 'immense',\n",
       " 'impartial',\n",
       " 'impartiality',\n",
       " 'impartially',\n",
       " 'impassioned',\n",
       " 'impeccable',\n",
       " 'impeccably',\n",
       " 'important',\n",
       " 'impress',\n",
       " 'impressed',\n",
       " 'impresses',\n",
       " 'impressive',\n",
       " 'impressively',\n",
       " 'impressiveness',\n",
       " ...]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open(r\"opinion-lexicon-English\\positive-words.txt\",\"r\") as pos:\n",
    "  poswords = pos.read().split(\"\\n\")\n",
    "poswords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[';;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;',\n",
       " '; ',\n",
       " '; Opinion Lexicon: Negative',\n",
       " ';',\n",
       " '; This file contains a list of NEGATIVE opinion words (or sentiment words).',\n",
       " ';',\n",
       " '; This file and the papers can all be downloaded from ',\n",
       " ';    http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html',\n",
       " ';',\n",
       " '; If you use this list, please cite the following paper:',\n",
       " ';',\n",
       " ';   Minqing Hu and Bing Liu. \"Mining and Summarizing Customer Reviews.\" ',\n",
       " ';       Proceedings of the ACM SIGKDD International Conference on Knowledge ',\n",
       " ';       Discovery and Data Mining (KDD-2004), Aug 22-25, 2004, Seattle, ',\n",
       " ';       Washington, USA, ',\n",
       " ';',\n",
       " '; Notes: ',\n",
       " ';    1. The appearance of an opinion word in a sentence does not necessarily  ',\n",
       " ';       mean that the sentence expresses a positive or negative opinion. ',\n",
       " ';       See the paper below:',\n",
       " ';',\n",
       " ';       Bing Liu. \"Sentiment Analysis and Subjectivity.\" An chapter in ',\n",
       " ';          Handbook of Natural Language Processing, Second Edition, ',\n",
       " ';          (editors: N. Indurkhya and F. J. Damerau), 2010.',\n",
       " ';',\n",
       " ';    2. You will notice many misspelled words in the list. They are not ',\n",
       " ';       mistakes. They are included as these misspelled words appear ',\n",
       " ';       frequently in social media content. ',\n",
       " ';',\n",
       " ';;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;',\n",
       " '',\n",
       " '2-faced',\n",
       " '2-faces',\n",
       " 'abnormal',\n",
       " 'abolish',\n",
       " 'abominable',\n",
       " 'abominably',\n",
       " 'abominate',\n",
       " 'abomination',\n",
       " 'abort',\n",
       " 'aborted',\n",
       " 'aborts',\n",
       " 'abrade',\n",
       " 'abrasive',\n",
       " 'abrupt',\n",
       " 'abruptly',\n",
       " 'abscond',\n",
       " 'absence',\n",
       " 'absent-minded',\n",
       " 'absentee',\n",
       " 'absurd',\n",
       " 'absurdity',\n",
       " 'absurdly',\n",
       " 'absurdness',\n",
       " 'abuse',\n",
       " 'abused',\n",
       " 'abuses',\n",
       " 'abusive',\n",
       " 'abysmal',\n",
       " 'abysmally',\n",
       " 'abyss',\n",
       " 'accidental',\n",
       " 'accost',\n",
       " 'accursed',\n",
       " 'accusation',\n",
       " 'accusations',\n",
       " 'accuse',\n",
       " 'accuses',\n",
       " 'accusing',\n",
       " 'accusingly',\n",
       " 'acerbate',\n",
       " 'acerbic',\n",
       " 'acerbically',\n",
       " 'ache',\n",
       " 'ached',\n",
       " 'aches',\n",
       " 'achey',\n",
       " 'aching',\n",
       " 'acrid',\n",
       " 'acridly',\n",
       " 'acridness',\n",
       " 'acrimonious',\n",
       " 'acrimoniously',\n",
       " 'acrimony',\n",
       " 'adamant',\n",
       " 'adamantly',\n",
       " 'addict',\n",
       " 'addicted',\n",
       " 'addicting',\n",
       " 'addicts',\n",
       " 'admonish',\n",
       " 'admonisher',\n",
       " 'admonishingly',\n",
       " 'admonishment',\n",
       " 'admonition',\n",
       " 'adulterate',\n",
       " 'adulterated',\n",
       " 'adulteration',\n",
       " 'adulterier',\n",
       " 'adversarial',\n",
       " 'adversary',\n",
       " 'adverse',\n",
       " 'adversity',\n",
       " 'afflict',\n",
       " 'affliction',\n",
       " 'afflictive',\n",
       " 'affront',\n",
       " 'afraid',\n",
       " 'aggravate',\n",
       " 'aggravating',\n",
       " 'aggravation',\n",
       " 'aggression',\n",
       " 'aggressive',\n",
       " 'aggressiveness',\n",
       " 'aggressor',\n",
       " 'aggrieve',\n",
       " 'aggrieved',\n",
       " 'aggrivation',\n",
       " 'aghast',\n",
       " 'agonies',\n",
       " 'agonize',\n",
       " 'agonizing',\n",
       " 'agonizingly',\n",
       " 'agony',\n",
       " 'aground',\n",
       " 'ail',\n",
       " 'ailing',\n",
       " 'ailment',\n",
       " 'aimless',\n",
       " 'alarm',\n",
       " 'alarmed',\n",
       " 'alarming',\n",
       " 'alarmingly',\n",
       " 'alienate',\n",
       " 'alienated',\n",
       " 'alienation',\n",
       " 'allegation',\n",
       " 'allegations',\n",
       " 'allege',\n",
       " 'allergic',\n",
       " 'allergies',\n",
       " 'allergy',\n",
       " 'aloof',\n",
       " 'altercation',\n",
       " 'ambiguity',\n",
       " 'ambiguous',\n",
       " 'ambivalence',\n",
       " 'ambivalent',\n",
       " 'ambush',\n",
       " 'amiss',\n",
       " 'amputate',\n",
       " 'anarchism',\n",
       " 'anarchist',\n",
       " 'anarchistic',\n",
       " 'anarchy',\n",
       " 'anemic',\n",
       " 'anger',\n",
       " 'angrily',\n",
       " 'angriness',\n",
       " 'angry',\n",
       " 'anguish',\n",
       " 'animosity',\n",
       " 'annihilate',\n",
       " 'annihilation',\n",
       " 'annoy',\n",
       " 'annoyance',\n",
       " 'annoyances',\n",
       " 'annoyed',\n",
       " 'annoying',\n",
       " 'annoyingly',\n",
       " 'annoys',\n",
       " 'anomalous',\n",
       " 'anomaly',\n",
       " 'antagonism',\n",
       " 'antagonist',\n",
       " 'antagonistic',\n",
       " 'antagonize',\n",
       " 'anti-',\n",
       " 'anti-american',\n",
       " 'anti-israeli',\n",
       " 'anti-occupation',\n",
       " 'anti-proliferation',\n",
       " 'anti-semites',\n",
       " 'anti-social',\n",
       " 'anti-us',\n",
       " 'anti-white',\n",
       " 'antipathy',\n",
       " 'antiquated',\n",
       " 'antithetical',\n",
       " 'anxieties',\n",
       " 'anxiety',\n",
       " 'anxious',\n",
       " 'anxiously',\n",
       " 'anxiousness',\n",
       " 'apathetic',\n",
       " 'apathetically',\n",
       " 'apathy',\n",
       " 'apocalypse',\n",
       " 'apocalyptic',\n",
       " 'apologist',\n",
       " 'apologists',\n",
       " 'appal',\n",
       " 'appall',\n",
       " 'appalled',\n",
       " 'appalling',\n",
       " 'appallingly',\n",
       " 'apprehension',\n",
       " 'apprehensions',\n",
       " 'apprehensive',\n",
       " 'apprehensively',\n",
       " 'arbitrary',\n",
       " 'arcane',\n",
       " 'archaic',\n",
       " 'arduous',\n",
       " 'arduously',\n",
       " 'argumentative',\n",
       " 'arrogance',\n",
       " 'arrogant',\n",
       " 'arrogantly',\n",
       " 'ashamed',\n",
       " 'asinine',\n",
       " 'asininely',\n",
       " 'asinininity',\n",
       " 'askance',\n",
       " 'asperse',\n",
       " 'aspersion',\n",
       " 'aspersions',\n",
       " 'assail',\n",
       " 'assassin',\n",
       " 'assassinate',\n",
       " 'assault',\n",
       " 'assult',\n",
       " 'astray',\n",
       " 'asunder',\n",
       " 'atrocious',\n",
       " 'atrocities',\n",
       " 'atrocity',\n",
       " 'atrophy',\n",
       " 'attack',\n",
       " 'attacks',\n",
       " 'audacious',\n",
       " 'audaciously',\n",
       " 'audaciousness',\n",
       " 'audacity',\n",
       " 'audiciously',\n",
       " 'austere',\n",
       " 'authoritarian',\n",
       " 'autocrat',\n",
       " 'autocratic',\n",
       " 'avalanche',\n",
       " 'avarice',\n",
       " 'avaricious',\n",
       " 'avariciously',\n",
       " 'avenge',\n",
       " 'averse',\n",
       " 'aversion',\n",
       " 'aweful',\n",
       " 'awful',\n",
       " 'awfully',\n",
       " 'awfulness',\n",
       " 'awkward',\n",
       " 'awkwardness',\n",
       " 'ax',\n",
       " 'babble',\n",
       " 'back-logged',\n",
       " 'back-wood',\n",
       " 'back-woods',\n",
       " 'backache',\n",
       " 'backaches',\n",
       " 'backaching',\n",
       " 'backbite',\n",
       " 'backbiting',\n",
       " 'backward',\n",
       " 'backwardness',\n",
       " 'backwood',\n",
       " 'backwoods',\n",
       " 'bad',\n",
       " 'badly',\n",
       " 'baffle',\n",
       " 'baffled',\n",
       " 'bafflement',\n",
       " 'baffling',\n",
       " 'bait',\n",
       " 'balk',\n",
       " 'banal',\n",
       " 'banalize',\n",
       " 'bane',\n",
       " 'banish',\n",
       " 'banishment',\n",
       " 'bankrupt',\n",
       " 'barbarian',\n",
       " 'barbaric',\n",
       " 'barbarically',\n",
       " 'barbarity',\n",
       " 'barbarous',\n",
       " 'barbarously',\n",
       " 'barren',\n",
       " 'baseless',\n",
       " 'bash',\n",
       " 'bashed',\n",
       " 'bashful',\n",
       " 'bashing',\n",
       " 'bastard',\n",
       " 'bastards',\n",
       " 'battered',\n",
       " 'battering',\n",
       " 'batty',\n",
       " 'bearish',\n",
       " 'beastly',\n",
       " 'bedlam',\n",
       " 'bedlamite',\n",
       " 'befoul',\n",
       " 'beg',\n",
       " 'beggar',\n",
       " 'beggarly',\n",
       " 'begging',\n",
       " 'beguile',\n",
       " 'belabor',\n",
       " 'belated',\n",
       " 'beleaguer',\n",
       " 'belie',\n",
       " 'belittle',\n",
       " 'belittled',\n",
       " 'belittling',\n",
       " 'bellicose',\n",
       " 'belligerence',\n",
       " 'belligerent',\n",
       " 'belligerently',\n",
       " 'bemoan',\n",
       " 'bemoaning',\n",
       " 'bemused',\n",
       " 'bent',\n",
       " 'berate',\n",
       " 'bereave',\n",
       " 'bereavement',\n",
       " 'bereft',\n",
       " 'berserk',\n",
       " 'beseech',\n",
       " 'beset',\n",
       " 'besiege',\n",
       " 'besmirch',\n",
       " 'bestial',\n",
       " 'betray',\n",
       " 'betrayal',\n",
       " 'betrayals',\n",
       " 'betrayer',\n",
       " 'betraying',\n",
       " 'betrays',\n",
       " 'bewail',\n",
       " 'beware',\n",
       " 'bewilder',\n",
       " 'bewildered',\n",
       " 'bewildering',\n",
       " 'bewilderingly',\n",
       " 'bewilderment',\n",
       " 'bewitch',\n",
       " 'bias',\n",
       " 'biased',\n",
       " 'biases',\n",
       " 'bicker',\n",
       " 'bickering',\n",
       " 'bid-rigging',\n",
       " 'bigotries',\n",
       " 'bigotry',\n",
       " 'bitch',\n",
       " 'bitchy',\n",
       " 'biting',\n",
       " 'bitingly',\n",
       " 'bitter',\n",
       " 'bitterly',\n",
       " 'bitterness',\n",
       " 'bizarre',\n",
       " 'blab',\n",
       " 'blabber',\n",
       " 'blackmail',\n",
       " 'blah',\n",
       " 'blame',\n",
       " 'blameworthy',\n",
       " 'bland',\n",
       " 'blandish',\n",
       " 'blaspheme',\n",
       " 'blasphemous',\n",
       " 'blasphemy',\n",
       " 'blasted',\n",
       " 'blatant',\n",
       " 'blatantly',\n",
       " 'blather',\n",
       " 'bleak',\n",
       " 'bleakly',\n",
       " 'bleakness',\n",
       " 'bleed',\n",
       " 'bleeding',\n",
       " 'bleeds',\n",
       " 'blemish',\n",
       " 'blind',\n",
       " 'blinding',\n",
       " 'blindingly',\n",
       " 'blindside',\n",
       " 'blister',\n",
       " 'blistering',\n",
       " 'bloated',\n",
       " 'blockage',\n",
       " 'blockhead',\n",
       " 'bloodshed',\n",
       " 'bloodthirsty',\n",
       " 'bloody',\n",
       " 'blotchy',\n",
       " 'blow',\n",
       " 'blunder',\n",
       " 'blundering',\n",
       " 'blunders',\n",
       " 'blunt',\n",
       " 'blur',\n",
       " 'bluring',\n",
       " 'blurred',\n",
       " 'blurring',\n",
       " 'blurry',\n",
       " 'blurs',\n",
       " 'blurt',\n",
       " 'boastful',\n",
       " 'boggle',\n",
       " 'bogus',\n",
       " 'boil',\n",
       " 'boiling',\n",
       " 'boisterous',\n",
       " 'bomb',\n",
       " 'bombard',\n",
       " 'bombardment',\n",
       " 'bombastic',\n",
       " 'bondage',\n",
       " 'bonkers',\n",
       " 'bore',\n",
       " 'bored',\n",
       " 'boredom',\n",
       " 'bores',\n",
       " 'boring',\n",
       " 'botch',\n",
       " 'bother',\n",
       " 'bothered',\n",
       " 'bothering',\n",
       " 'bothers',\n",
       " 'bothersome',\n",
       " 'bowdlerize',\n",
       " 'boycott',\n",
       " 'braggart',\n",
       " 'bragger',\n",
       " 'brainless',\n",
       " 'brainwash',\n",
       " 'brash',\n",
       " 'brashly',\n",
       " 'brashness',\n",
       " 'brat',\n",
       " 'bravado',\n",
       " 'brazen',\n",
       " 'brazenly',\n",
       " 'brazenness',\n",
       " 'breach',\n",
       " 'break',\n",
       " 'break-up',\n",
       " 'break-ups',\n",
       " 'breakdown',\n",
       " 'breaking',\n",
       " 'breaks',\n",
       " 'breakup',\n",
       " 'breakups',\n",
       " 'bribery',\n",
       " 'brimstone',\n",
       " 'bristle',\n",
       " 'brittle',\n",
       " 'broke',\n",
       " 'broken',\n",
       " 'broken-hearted',\n",
       " 'brood',\n",
       " 'browbeat',\n",
       " 'bruise',\n",
       " 'bruised',\n",
       " 'bruises',\n",
       " 'bruising',\n",
       " 'brusque',\n",
       " 'brutal',\n",
       " 'brutalising',\n",
       " 'brutalities',\n",
       " 'brutality',\n",
       " 'brutalize',\n",
       " 'brutalizing',\n",
       " 'brutally',\n",
       " 'brute',\n",
       " 'brutish',\n",
       " 'bs',\n",
       " 'buckle',\n",
       " 'bug',\n",
       " 'bugging',\n",
       " 'buggy',\n",
       " 'bugs',\n",
       " 'bulkier',\n",
       " 'bulkiness',\n",
       " 'bulky',\n",
       " 'bulkyness',\n",
       " 'bull****',\n",
       " 'bull----',\n",
       " 'bullies',\n",
       " 'bullshit',\n",
       " 'bullshyt',\n",
       " 'bully',\n",
       " 'bullying',\n",
       " 'bullyingly',\n",
       " 'bum',\n",
       " 'bump',\n",
       " 'bumped',\n",
       " 'bumping',\n",
       " 'bumpping',\n",
       " 'bumps',\n",
       " 'bumpy',\n",
       " 'bungle',\n",
       " 'bungler',\n",
       " 'bungling',\n",
       " 'bunk',\n",
       " 'burden',\n",
       " 'burdensome',\n",
       " 'burdensomely',\n",
       " 'burn',\n",
       " 'burned',\n",
       " 'burning',\n",
       " 'burns',\n",
       " 'bust',\n",
       " 'busts',\n",
       " 'busybody',\n",
       " 'butcher',\n",
       " 'butchery',\n",
       " 'buzzing',\n",
       " 'byzantine',\n",
       " 'cackle',\n",
       " 'calamities',\n",
       " 'calamitous',\n",
       " 'calamitously',\n",
       " 'calamity',\n",
       " 'callous',\n",
       " 'calumniate',\n",
       " 'calumniation',\n",
       " 'calumnies',\n",
       " 'calumnious',\n",
       " 'calumniously',\n",
       " 'calumny',\n",
       " 'cancer',\n",
       " 'cancerous',\n",
       " 'cannibal',\n",
       " 'cannibalize',\n",
       " 'capitulate',\n",
       " 'capricious',\n",
       " 'capriciously',\n",
       " 'capriciousness',\n",
       " 'capsize',\n",
       " 'careless',\n",
       " 'carelessness',\n",
       " 'caricature',\n",
       " 'carnage',\n",
       " 'carp',\n",
       " 'cartoonish',\n",
       " 'cash-strapped',\n",
       " 'castigate',\n",
       " 'castrated',\n",
       " 'casualty',\n",
       " 'cataclysm',\n",
       " 'cataclysmal',\n",
       " 'cataclysmic',\n",
       " 'cataclysmically',\n",
       " 'catastrophe',\n",
       " 'catastrophes',\n",
       " 'catastrophic',\n",
       " 'catastrophically',\n",
       " 'catastrophies',\n",
       " 'caustic',\n",
       " 'caustically',\n",
       " 'cautionary',\n",
       " 'cave',\n",
       " 'censure',\n",
       " 'chafe',\n",
       " 'chaff',\n",
       " 'chagrin',\n",
       " 'challenging',\n",
       " 'chaos',\n",
       " 'chaotic',\n",
       " 'chasten',\n",
       " 'chastise',\n",
       " 'chastisement',\n",
       " 'chatter',\n",
       " 'chatterbox',\n",
       " 'cheap',\n",
       " 'cheapen',\n",
       " 'cheaply',\n",
       " 'cheat',\n",
       " 'cheated',\n",
       " 'cheater',\n",
       " 'cheating',\n",
       " 'cheats',\n",
       " 'checkered',\n",
       " 'cheerless',\n",
       " 'cheesy',\n",
       " 'chide',\n",
       " 'childish',\n",
       " 'chill',\n",
       " 'chilly',\n",
       " 'chintzy',\n",
       " 'choke',\n",
       " 'choleric',\n",
       " 'choppy',\n",
       " 'chore',\n",
       " 'chronic',\n",
       " 'chunky',\n",
       " 'clamor',\n",
       " 'clamorous',\n",
       " 'clash',\n",
       " 'cliche',\n",
       " 'cliched',\n",
       " 'clique',\n",
       " 'clog',\n",
       " 'clogged',\n",
       " 'clogs',\n",
       " 'cloud',\n",
       " 'clouding',\n",
       " 'cloudy',\n",
       " 'clueless',\n",
       " 'clumsy',\n",
       " 'clunky',\n",
       " 'coarse',\n",
       " 'cocky',\n",
       " 'coerce',\n",
       " 'coercion',\n",
       " 'coercive',\n",
       " 'cold',\n",
       " 'coldly',\n",
       " 'collapse',\n",
       " 'collude',\n",
       " 'collusion',\n",
       " 'combative',\n",
       " 'combust',\n",
       " 'comical',\n",
       " 'commiserate',\n",
       " 'commonplace',\n",
       " 'commotion',\n",
       " 'commotions',\n",
       " 'complacent',\n",
       " 'complain',\n",
       " 'complained',\n",
       " 'complaining',\n",
       " 'complains',\n",
       " 'complaint',\n",
       " 'complaints',\n",
       " 'complex',\n",
       " 'complicated',\n",
       " 'complication',\n",
       " 'complicit',\n",
       " 'compulsion',\n",
       " 'compulsive',\n",
       " 'concede',\n",
       " 'conceded',\n",
       " 'conceit',\n",
       " 'conceited',\n",
       " 'concen',\n",
       " 'concens',\n",
       " 'concern',\n",
       " 'concerned',\n",
       " 'concerns',\n",
       " 'concession',\n",
       " 'concessions',\n",
       " 'condemn',\n",
       " 'condemnable',\n",
       " 'condemnation',\n",
       " 'condemned',\n",
       " 'condemns',\n",
       " 'condescend',\n",
       " 'condescending',\n",
       " 'condescendingly',\n",
       " 'condescension',\n",
       " 'confess',\n",
       " 'confession',\n",
       " 'confessions',\n",
       " 'confined',\n",
       " 'conflict',\n",
       " 'conflicted',\n",
       " 'conflicting',\n",
       " 'conflicts',\n",
       " 'confound',\n",
       " 'confounded',\n",
       " 'confounding',\n",
       " 'confront',\n",
       " 'confrontation',\n",
       " 'confrontational',\n",
       " 'confuse',\n",
       " 'confused',\n",
       " 'confuses',\n",
       " 'confusing',\n",
       " 'confusion',\n",
       " 'confusions',\n",
       " 'congested',\n",
       " 'congestion',\n",
       " 'cons',\n",
       " 'conscons',\n",
       " 'conservative',\n",
       " 'conspicuous',\n",
       " 'conspicuously',\n",
       " 'conspiracies',\n",
       " 'conspiracy',\n",
       " 'conspirator',\n",
       " 'conspiratorial',\n",
       " 'conspire',\n",
       " 'consternation',\n",
       " 'contagious',\n",
       " 'contaminate',\n",
       " 'contaminated',\n",
       " 'contaminates',\n",
       " 'contaminating',\n",
       " 'contamination',\n",
       " 'contempt',\n",
       " 'contemptible',\n",
       " 'contemptuous',\n",
       " 'contemptuously',\n",
       " 'contend',\n",
       " 'contention',\n",
       " 'contentious',\n",
       " 'contort',\n",
       " 'contortions',\n",
       " 'contradict',\n",
       " 'contradiction',\n",
       " 'contradictory',\n",
       " 'contrariness',\n",
       " 'contravene',\n",
       " 'contrive',\n",
       " 'contrived',\n",
       " 'controversial',\n",
       " 'controversy',\n",
       " 'convoluted',\n",
       " 'corrode',\n",
       " 'corrosion',\n",
       " 'corrosions',\n",
       " 'corrosive',\n",
       " 'corrupt',\n",
       " 'corrupted',\n",
       " 'corrupting',\n",
       " 'corruption',\n",
       " 'corrupts',\n",
       " 'corruptted',\n",
       " 'costlier',\n",
       " 'costly',\n",
       " 'counter-productive',\n",
       " 'counterproductive',\n",
       " 'coupists',\n",
       " 'covetous',\n",
       " 'coward',\n",
       " 'cowardly',\n",
       " 'crabby',\n",
       " 'crack',\n",
       " 'cracked',\n",
       " 'cracks',\n",
       " 'craftily',\n",
       " 'craftly',\n",
       " 'crafty',\n",
       " 'cramp',\n",
       " 'cramped',\n",
       " 'cramping',\n",
       " 'cranky',\n",
       " 'crap',\n",
       " 'crappy',\n",
       " 'craps',\n",
       " 'crash',\n",
       " 'crashed',\n",
       " 'crashes',\n",
       " 'crashing',\n",
       " 'crass',\n",
       " 'craven',\n",
       " 'cravenly',\n",
       " 'craze',\n",
       " 'crazily',\n",
       " 'craziness',\n",
       " 'crazy',\n",
       " 'creak',\n",
       " 'creaking',\n",
       " 'creaks',\n",
       " 'credulous',\n",
       " 'creep',\n",
       " 'creeping',\n",
       " 'creeps',\n",
       " 'creepy',\n",
       " 'crept',\n",
       " 'crime',\n",
       " 'criminal',\n",
       " 'cringe',\n",
       " 'cringed',\n",
       " 'cringes',\n",
       " 'cripple',\n",
       " 'crippled',\n",
       " 'cripples',\n",
       " 'crippling',\n",
       " 'crisis',\n",
       " 'critic',\n",
       " 'critical',\n",
       " 'criticism',\n",
       " 'criticisms',\n",
       " 'criticize',\n",
       " 'criticized',\n",
       " 'criticizing',\n",
       " 'critics',\n",
       " 'cronyism',\n",
       " 'crook',\n",
       " 'crooked',\n",
       " 'crooks',\n",
       " 'crowded',\n",
       " 'crowdedness',\n",
       " 'crude',\n",
       " 'cruel',\n",
       " 'crueler',\n",
       " 'cruelest',\n",
       " 'cruelly',\n",
       " 'cruelness',\n",
       " 'cruelties',\n",
       " 'cruelty',\n",
       " 'crumble',\n",
       " 'crumbling',\n",
       " 'crummy',\n",
       " 'crumple',\n",
       " 'crumpled',\n",
       " 'crumples',\n",
       " 'crush',\n",
       " 'crushed',\n",
       " 'crushing',\n",
       " 'cry',\n",
       " 'culpable',\n",
       " 'culprit',\n",
       " 'cumbersome',\n",
       " 'cunt',\n",
       " 'cunts',\n",
       " 'cuplrit',\n",
       " 'curse',\n",
       " 'cursed',\n",
       " 'curses',\n",
       " 'curt',\n",
       " 'cuss',\n",
       " 'cussed',\n",
       " 'cutthroat',\n",
       " 'cynical',\n",
       " 'cynicism',\n",
       " 'd*mn',\n",
       " 'damage',\n",
       " 'damaged',\n",
       " 'damages',\n",
       " 'damaging',\n",
       " 'damn',\n",
       " 'damnable',\n",
       " 'damnably',\n",
       " 'damnation',\n",
       " 'damned',\n",
       " 'damning',\n",
       " 'damper',\n",
       " 'danger',\n",
       " 'dangerous',\n",
       " 'dangerousness',\n",
       " 'dark',\n",
       " 'darken',\n",
       " 'darkened',\n",
       " 'darker',\n",
       " 'darkness',\n",
       " 'dastard',\n",
       " 'dastardly',\n",
       " 'daunt',\n",
       " 'daunting',\n",
       " 'dauntingly',\n",
       " 'dawdle',\n",
       " 'daze',\n",
       " 'dazed',\n",
       " 'dead',\n",
       " 'deadbeat',\n",
       " 'deadlock',\n",
       " 'deadly',\n",
       " 'deadweight',\n",
       " 'deaf',\n",
       " 'dearth',\n",
       " 'death',\n",
       " 'debacle',\n",
       " 'debase',\n",
       " 'debasement',\n",
       " 'debaser',\n",
       " 'debatable',\n",
       " 'debauch',\n",
       " 'debaucher',\n",
       " 'debauchery',\n",
       " 'debilitate',\n",
       " 'debilitating',\n",
       " 'debility',\n",
       " 'debt',\n",
       " 'debts',\n",
       " 'decadence',\n",
       " 'decadent',\n",
       " 'decay',\n",
       " 'decayed',\n",
       " 'deceit',\n",
       " 'deceitful',\n",
       " 'deceitfully',\n",
       " 'deceitfulness',\n",
       " 'deceive',\n",
       " 'deceiver',\n",
       " 'deceivers',\n",
       " 'deceiving',\n",
       " 'deception',\n",
       " 'deceptive',\n",
       " 'deceptively',\n",
       " 'declaim',\n",
       " 'decline',\n",
       " 'declines',\n",
       " 'declining',\n",
       " 'decrement',\n",
       " 'decrepit',\n",
       " 'decrepitude',\n",
       " 'decry',\n",
       " 'defamation',\n",
       " 'defamations',\n",
       " 'defamatory',\n",
       " 'defame',\n",
       " 'defect',\n",
       " 'defective',\n",
       " 'defects',\n",
       " 'defensive',\n",
       " 'defiance',\n",
       " 'defiant',\n",
       " 'defiantly',\n",
       " 'deficiencies',\n",
       " 'deficiency',\n",
       " 'deficient',\n",
       " 'defile',\n",
       " 'defiler',\n",
       " 'deform',\n",
       " 'deformed',\n",
       " 'defrauding',\n",
       " 'defunct',\n",
       " 'defy',\n",
       " 'degenerate',\n",
       " 'degenerately',\n",
       " 'degeneration',\n",
       " 'degradation',\n",
       " 'degrade',\n",
       " 'degrading',\n",
       " 'degradingly',\n",
       " 'dehumanization',\n",
       " 'dehumanize',\n",
       " 'deign',\n",
       " 'deject',\n",
       " 'dejected',\n",
       " 'dejectedly',\n",
       " 'dejection',\n",
       " 'delay',\n",
       " 'delayed',\n",
       " 'delaying',\n",
       " 'delays',\n",
       " 'delinquency',\n",
       " 'delinquent',\n",
       " 'delirious',\n",
       " 'delirium',\n",
       " 'delude',\n",
       " 'deluded',\n",
       " 'deluge',\n",
       " 'delusion',\n",
       " 'delusional',\n",
       " 'delusions',\n",
       " 'demean',\n",
       " 'demeaning',\n",
       " 'demise',\n",
       " 'demolish',\n",
       " 'demolisher',\n",
       " 'demon',\n",
       " 'demonic',\n",
       " 'demonize',\n",
       " 'demonized',\n",
       " 'demonizes',\n",
       " 'demonizing',\n",
       " 'demoralize',\n",
       " 'demoralizing',\n",
       " 'demoralizingly',\n",
       " 'denial',\n",
       " 'denied',\n",
       " 'denies',\n",
       " 'denigrate',\n",
       " 'denounce',\n",
       " 'dense',\n",
       " 'dent',\n",
       " 'dented',\n",
       " 'dents',\n",
       " 'denunciate',\n",
       " 'denunciation',\n",
       " 'denunciations',\n",
       " 'deny',\n",
       " 'denying',\n",
       " 'deplete',\n",
       " 'deplorable',\n",
       " 'deplorably',\n",
       " 'deplore',\n",
       " 'deploring',\n",
       " 'deploringly',\n",
       " 'deprave',\n",
       " 'depraved',\n",
       " 'depravedly',\n",
       " 'deprecate',\n",
       " ...]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open(r\"opinion-lexicon-English\\negative-words.txt\",\"r\") as neg:\n",
    "  negwords = neg.read().split(\"\\n\")\n",
    "negwords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2349ae9c2c8>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from wordcloud import WordCloud\n",
    "\n",
    "# positive word cloud\n",
    "# Choosing the only words which are present in poswords\n",
    "pos_in_pos = \" \".join([w for w in final_list if w in poswords])\n",
    "\n",
    "wordcloud_pos = WordCloud(\n",
    "                      background_color='black',\n",
    "                      width=1800,\n",
    "                      height=1400\n",
    "                     ).generate(pos_in_pos)\n",
    "\n",
    "plt.imshow(wordcloud_pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2349b6b5e08>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# negative word cloud\n",
    "# Choosing the only words which are present in negwords\n",
    "neg_in_neg = \" \".join([w for w in final_list if w in negwords])\n",
    "\n",
    "wordcloud_neg = WordCloud(\n",
    "                      background_color='black',\n",
    "                      width=1800,\n",
    "                      height=1400\n",
    "                     ).generate(neg_in_neg)\n",
    "\n",
    "plt.imshow(wordcloud_neg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Create audible files (Text to Audio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Okay so | brought the 32gb version. And honestly | had to sell it to someone else on OLX after 3 days of usage. Reason being that the memory available remain is on 17GB.\n",
      "Which will get filled in matter of days. If you install couple of good games (3-4).\n",
      "\n",
      "Further the sound from speaker is pathetic.\n",
      "\n",
      "Didn't expect both these from Apple.\n",
      "\n",
      "So | sold this on OLX and brought Galaxy Tab S6 Lite (Wi-Fi) tab. It has 64gb hard drive and memory card support as well. Sound is also pretty good.\n",
      "\n",
      "Please don't waste your money on Apple. Useless product with high price\n",
      "\f",
      "\n",
      "playing the audio file\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# import necessary libraries\n",
    "import cv2\n",
    "import pytesseract\n",
    "pytesseract.pytesseract.tesseract_cmd=r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'\n",
    "\n",
    "from gtts import gTTS\n",
    "import os\n",
    "\n",
    "# read image using cv2.imread() method\n",
    "rev = cv2.imread(\"Reviews\\\\15.PNG\")\n",
    "\n",
    "# display the image using cv2.imshow() method\n",
    "# cv2.imshow(\"Image\", rev)\n",
    "# cv2.waitKey(0)\n",
    "# cv2.destroyAllWindows()\n",
    "\n",
    "# grab the text from image using pytesseract\n",
    "txt = pytesseract.image_to_string(rev)\n",
    "print(txt)\n",
    "\n",
    "# set language\n",
    "language = 'en'\n",
    "\n",
    "# create a gTTS object\n",
    "outObj = gTTS(text=txt, lang=language, slow=False)\n",
    "\n",
    "# Save the audio file as rev.mp3\n",
    "outObj.save(\"rev.mp3\")\n",
    "\n",
    "# play the .mp3 file\n",
    "print('playing the audio file')\n",
    "os.system('rev.mp3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Build sample OCR Script"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import cv2\n",
    "\n",
    "import pytesseract\n",
    "pytesseract.pytesseract.tesseract_cmd=r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'\n",
    "\n",
    "img = cv2.imread(\"image.jpg\")\n",
    "\n",
    "img = cv2.resize(img, (400, 450))\n",
    "\n",
    "cv2.imshow(\"Image\", img)\n",
    "\n",
    "text = pytesseract.image_to_string(img)\n",
    "print(text)\n",
    "\n",
    "cv2.waitKey(0)\n",
    "\n",
    "cv2.destroyAllWindows()"
   ]
  }
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