Amazon Reviews Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analysis of customer reviews for Titan men watches scraped from Amazon website"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "pd.set_option('display.max_colwidth', -1)\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv('Scraped reviews.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>reviews</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Good\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Classic leather..Glossy gold dial.. awesome finishing!! Product is tooo goood and eye catching! Gifted it to my father, father in law and my father’s elder brother .. they loved it to the core! Highly recommended if this is a gift to elders 😍😍😍\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Good..bt last day of every month showing incorrect date (30,31)\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I like the day &amp; date system of this watch . But  the leather belt of this watch is not sogood . The belt should have been more soft .\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>a very good product. it might give a small itch for your skin whr the back of the dial is in touch with the hand but otherwise fine. the color is very golden and looks much better than in the picture given. totally awesome product.\\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                                                                                                                  reviews\n",
       "0  Good\\n                                                                                                                                                                                                                                                \n",
       "1  Classic leather..Glossy gold dial.. awesome finishing!! Product is tooo goood and eye catching! Gifted it to my father, father in law and my father’s elder brother .. they loved it to the core! Highly recommended if this is a gift to elders 😍😍😍\\n\n",
       "2  Good..bt last day of every month showing incorrect date (30,31)\\n                                                                                                                                                                                     \n",
       "3  I like the day & date system of this watch . But  the leather belt of this watch is not sogood . The belt should have been more soft .\\n                                                                                                              \n",
       "4  a very good product. it might give a small itch for your skin whr the back of the dial is in touch with the hand but otherwise fine. the color is very golden and looks much better than in the picture given. totally awesome product.\\n             "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=data.copy() # Creating a copy of the original data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Review cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All the reviews have '\\n' at the end. Let's remove it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['reviews']=df['reviews'].apply(lambda x:x.strip('\\n')) # To remove '\\n' from every review"
   ]
  },
  {
   "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>reviews</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Classic leather..Glossy gold dial.. awesome finishing!! Product is tooo goood and eye catching! Gifted it to my father, father in law and my father’s elder brother .. they loved it to the core! Highly recommended if this is a gift to elders 😍😍😍</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Good..bt last day of every month showing incorrect date (30,31)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I like the day &amp; date system of this watch . But  the leather belt of this watch is not sogood . The belt should have been more soft .</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>a very good product. it might give a small itch for your skin whr the back of the dial is in touch with the hand but otherwise fine. the color is very golden and looks much better than in the picture given. totally awesome product.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                                                                                                                reviews\n",
       "0  Good                                                                                                                                                                                                                                                \n",
       "1  Classic leather..Glossy gold dial.. awesome finishing!! Product is tooo goood and eye catching! Gifted it to my father, father in law and my father’s elder brother .. they loved it to the core! Highly recommended if this is a gift to elders 😍😍😍\n",
       "2  Good..bt last day of every month showing incorrect date (30,31)                                                                                                                                                                                     \n",
       "3  I like the day & date system of this watch . But  the leather belt of this watch is not sogood . The belt should have been more soft .                                                                                                              \n",
       "4  a very good product. it might give a small itch for your skin whr the back of the dial is in touch with the hand but otherwise fine. the color is very golden and looks much better than in the picture given. totally awesome product.             "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import string\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from nltk import PorterStemmer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "STOPWORDS=stopwords.words(\"english\") #stopwords are the most common unnecessary words. eg is, he, that, etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def deEmojify(inputString):\n",
    "    return inputString.encode('ascii', 'ignore').decode('ascii') # A function to remove emojis from the reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import string   \n",
    "import re\n",
    "\n",
    "def clean_text(text):\n",
    "    ps=PorterStemmer()\n",
    "    \n",
    "    text=deEmojify(text) # remove emojis\n",
    "    text_cleaned=\"\".join([x for x in text if x not in string.punctuation]) # remove punctuation\n",
    "    \n",
    "    text_cleaned=re.sub(' +', ' ', text_cleaned) # remove extra white spaces\n",
    "    text_cleaned=text_cleaned.lower() # converting to lowercase\n",
    "    tokens=text_cleaned.split(\" \")\n",
    "    tokens=[token for token in tokens if token not in STOPWORDS] # Taking only those words which are not stopwords\n",
    "    text_cleaned=\" \".join([ps.stem(token) for token in tokens])\n",
    "    \n",
    "    \n",
    "    return text_cleaned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['cleaned_reviews']=df['reviews'].apply(lambda x:clean_text(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>reviews</th>\n",
       "      <th>cleaned_reviews</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4740</th>\n",
       "      <td>The second is not working,poor quality of check before dispatch and it was a gift for my dad. Just pathetic services</td>\n",
       "      <td>second workingpoor qualiti check dispatch gift dad pathet servic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>844</th>\n",
       "      <td>Chain size</td>\n",
       "      <td>chain size</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1613</th>\n",
       "      <td>I just loved this product</td>\n",
       "      <td>love product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4646</th>\n",
       "      <td>As seen in photo..no damage, good packing</td>\n",
       "      <td>seen photono damag good pack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3365</th>\n",
       "      <td>Too good</td>\n",
       "      <td>good</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                   reviews  \\\n",
       "4740  The second is not working,poor quality of check before dispatch and it was a gift for my dad. Just pathetic services   \n",
       "844   Chain size                                                                                                             \n",
       "1613  I just loved this product                                                                                              \n",
       "4646  As seen in photo..no damage, good packing                                                                              \n",
       "3365  Too good                                                                                                               \n",
       "\n",
       "                                                       cleaned_reviews  \n",
       "4740  second workingpoor qualiti check dispatch gift dad pathet servic  \n",
       "844   chain size                                                        \n",
       "1613  love product                                                      \n",
       "4646  seen photono damag good pack                                      \n",
       "3365  good                                                              "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Generating a wordcloud to give a view of the words in the reviews based on their frequency of occurence "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "from wordcloud import WordCloud\n",
    "wordcloud = WordCloud(height=2000, width=2000, background_color='white')\n",
    "wordcloud = wordcloud.generate(' '.join(df['cleaned_reviews'].tolist()))\n",
    "plt.imshow(wordcloud)\n",
    "plt.title(\"Most common words in the reviews\")\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyzing the sentiment of reviews using the library 'vader'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
    "analyser = SentimentIntensityAnalyzer()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining a function to find the sentiment of a review. It will return a dictionary having positive, negative and compound scores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sentiment_analyzer_scores(sentence):\n",
    "    score = analyser.polarity_scores(sentence)\n",
    "    return score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining a function to extract only the compound score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compound_score(text):\n",
    "    comp=sentiment_analyzer_scores(text)\n",
    "    return comp['compound'] # returns the compound score from the dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['sentiment_score']=df['reviews'].apply(lambda x:compound_score(x)) # applying on the reviews column to get the score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>reviews</th>\n",
       "      <th>cleaned_reviews</th>\n",
       "      <th>sentiment_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5992</th>\n",
       "      <td>The watch looks really good but thing to note is the belt is brownish black in colour not exactly black as shown in the picture.</td>\n",
       "      <td>watch look realli good thing note belt brownish black colour exactli black shown pictur</td>\n",
       "      <td>0.2724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1350</th>\n",
       "      <td>It's a fantastic watch. Just praiseworthy.</td>\n",
       "      <td>fantast watch praiseworthi</td>\n",
       "      <td>0.8020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4903</th>\n",
       "      <td>Great nice good</td>\n",
       "      <td>great nice good</td>\n",
       "      <td>0.8689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3536</th>\n",
       "      <td>Nice</td>\n",
       "      <td>nice</td>\n",
       "      <td>0.4215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2373</th>\n",
       "      <td>the best watch</td>\n",
       "      <td>best watch</td>\n",
       "      <td>0.6369</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                               reviews  \\\n",
       "5992  The watch looks really good but thing to note is the belt is brownish black in colour not exactly black as shown in the picture.   \n",
       "1350  It's a fantastic watch. Just praiseworthy.                                                                                         \n",
       "4903  Great nice good                                                                                                                    \n",
       "3536  Nice                                                                                                                               \n",
       "2373  the best watch                                                                                                                     \n",
       "\n",
       "                                                                              cleaned_reviews  \\\n",
       "5992  watch look realli good thing note belt brownish black colour exactli black shown pictur   \n",
       "1350  fantast watch praiseworthi                                                                \n",
       "4903  great nice good                                                                           \n",
       "3536  nice                                                                                      \n",
       "2373  best watch                                                                                \n",
       "\n",
       "      sentiment_score  \n",
       "5992  0.2724           \n",
       "1350  0.8020           \n",
       "4903  0.8689           \n",
       "3536  0.4215           \n",
       "2373  0.6369           "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have got the sentiment score. Now categorizing the reviews based on the score into postive, negative and neutral using the below conditions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sentiment_category(score):\n",
    "    if score >= 0.05:\n",
    "        return \"positive\"\n",
    "    elif score <= -0.05:\n",
    "        return \"negative\"\n",
    "    else:\n",
    "        return \"neutral\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['review_category']=df['sentiment_score'].apply(lambda x:sentiment_category(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>reviews</th>\n",
       "      <th>cleaned_reviews</th>\n",
       "      <th>sentiment_score</th>\n",
       "      <th>review_category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>916</th>\n",
       "      <td>Super</td>\n",
       "      <td>super</td>\n",
       "      <td>0.5994</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>To be honest not a fan of this watch because its not what i think before ordering the dial is very long so if you have a small wrist its not very good looking. The locking mechanism is also very irriting and will become loose with time. Or maybe its not for me?</td>\n",
       "      <td>honest fan watch think order dial long small wrist good look lock mechan also irrit becom loos time mayb</td>\n",
       "      <td>-0.3787</td>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1410</th>\n",
       "      <td>Awseome</td>\n",
       "      <td>awseom</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5682</th>\n",
       "      <td>Value for money</td>\n",
       "      <td>valu money</td>\n",
       "      <td>0.3400</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2819</th>\n",
       "      <td>I gifted this to my father and he loved it.It's good for daily wear.</td>\n",
       "      <td>gift father love itit good daili wear</td>\n",
       "      <td>0.7783</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                                                                                                                                    reviews  \\\n",
       "916   Super                                                                                                                                                                                                                                                                   \n",
       "461   To be honest not a fan of this watch because its not what i think before ordering the dial is very long so if you have a small wrist its not very good looking. The locking mechanism is also very irriting and will become loose with time. Or maybe its not for me?   \n",
       "1410  Awseome                                                                                                                                                                                                                                                                 \n",
       "5682  Value for money                                                                                                                                                                                                                                                         \n",
       "2819  I gifted this to my father and he loved it.It's good for daily wear.                                                                                                                                                                                                    \n",
       "\n",
       "                                                                                               cleaned_reviews  \\\n",
       "916   super                                                                                                      \n",
       "461   honest fan watch think order dial long small wrist good look lock mechan also irrit becom loos time mayb   \n",
       "1410  awseom                                                                                                     \n",
       "5682  valu money                                                                                                 \n",
       "2819  gift father love itit good daili wear                                                                      \n",
       "\n",
       "      sentiment_score review_category  \n",
       "916   0.5994           positive        \n",
       "461  -0.3787           negative        \n",
       "1410  0.0000           neutral         \n",
       "5682  0.3400           positive        \n",
       "2819  0.7783           positive        "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting a distribution of the review categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Reviews Category')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['review_category']).set_title(\"Distribution of Reviews Category\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['good',\n",
       " 'classic leatherglossi gold dial awesom finish product tooo goood eye catch gift father father law father elder brother love core highli recommend gift elder ',\n",
       " 'like day date system watch leather belt watch sogood belt soft ',\n",
       " 'good product might give small itch skin whr back dial touch hand otherwis fine color golden look much better pictur given total awesom product',\n",
       " 'gem father wrist year seen moder use lot water lash titan survivor father love ithad chang leather strap due excess use avail cheap worth valu ']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_reviews=df.loc[df['review_category']=='positive','cleaned_reviews'].tolist() # extracting all positive reviews and converting to a list\n",
    "positive_reviews[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['titen watch good ladher belt qualiti poor length short ladher belt crack 5 month',\n",
       " 'paid 1500 found later avail 500 rupe snapdeal moreov date doesnt work accur that huge disadvantag dont buy watch',\n",
       " 'titen watch good ladher belt qualiti poor length short ladher belt crack 5 month',\n",
       " 'paid 1500 found later avail 500 rupe snapdeal moreov date doesnt work accur that huge disadvantag dont buy watch',\n",
       " 'watch receiv work condit belt also damag overal felt qualiti poor compar price ask refund recommend']"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_reviews=df.loc[df['review_category']=='negative','cleaned_reviews'].tolist() # extracting all negative reviews and converting to a list\n",
    "negative_reviews[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Generating wordclouds separately for positive and negative reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "from wordcloud import WordCloud\n",
    "wordcloud = WordCloud(height=2000, width=2000, background_color='black')\n",
    "wordcloud = wordcloud.generate(' '.join(df.loc[df['review_category']=='positive','cleaned_reviews'].tolist()))\n",
    "plt.imshow(wordcloud)\n",
    "plt.title(\"Most common words in positive customer comments\")\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "from wordcloud import WordCloud\n",
    "wordcloud = WordCloud(height=2000, width=2000, background_color='black')\n",
    "wordcloud = wordcloud.generate(' '.join(df.loc[df['review_category']=='negative','cleaned_reviews'].tolist()))\n",
    "plt.imshow(wordcloud)\n",
    "plt.title(\"Most common words in negative customer comments\")\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Unigrams"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unigrams are just individual words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining a function to get the most common words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getMostCommon(reviews_list,topn=20):\n",
    "    reviews=\" \".join(reviews_list)\n",
    "    tokenised_reviews=reviews.split(\" \")\n",
    "    \n",
    "    \n",
    "    freq_counter=Counter(tokenised_reviews)\n",
    "    return freq_counter.most_common(topn) # return words with the highest frequencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_20_positive_review_words=getMostCommon(positive_reviews,20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('good', 1894),\n",
       " ('watch', 1713),\n",
       " ('product', 1269),\n",
       " ('nice', 1174),\n",
       " ('look', 976),\n",
       " ('like', 397),\n",
       " ('love', 331),\n",
       " ('money', 311),\n",
       " ('price', 311),\n",
       " ('awesom', 304),\n",
       " ('amazon', 298),\n",
       " ('qualiti', 293),\n",
       " ('valu', 267),\n",
       " ('dial', 260),\n",
       " ('great', 254),\n",
       " ('best', 238),\n",
       " ('gift', 236),\n",
       " ('titan', 230),\n",
       " ('one', 228),\n",
       " ('', 211)]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_20_positive_review_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_20_negative_review_words=getMostCommon(negative_reviews,20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('watch', 236),\n",
       " ('product', 162),\n",
       " ('good', 117),\n",
       " ('qualiti', 81),\n",
       " ('bad', 66),\n",
       " ('work', 61),\n",
       " ('look', 61),\n",
       " ('titan', 50),\n",
       " ('time', 48),\n",
       " ('day', 46),\n",
       " ('dial', 42),\n",
       " ('date', 40),\n",
       " ('warranti', 37),\n",
       " ('damag', 36),\n",
       " ('amazon', 35),\n",
       " ('poor', 34),\n",
       " ('problem', 34),\n",
       " ('use', 34),\n",
       " ('one', 34),\n",
       " ('batteri', 32)]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_20_negative_review_words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining a function to produce a barplot of the most common words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotMostCommonWords(reviews_list,topn=20,title=\"Common Review Words\",color=\"blue\",axis=None): #default number of words is given as 20\n",
    "    top_words=getMostCommon(reviews_list,topn=topn)\n",
    "    data=pd.DataFrame()\n",
    "    data['words']=[val[0] for val in top_words]\n",
    "    data['freq']=[val[1] for val in top_words]\n",
    "    if axis!=None:\n",
    "        sns.barplot(y='words',x='freq',data=data,color=color,ax=axis).set_title(title+\" top \"+str(topn))\n",
    "    else:\n",
    "        sns.barplot(y='words',x='freq',data=data,color=color).set_title(title+\" top \"+str(topn))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the above function, to produce barplots for positive and negative reviews separately"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import rcParams\n",
    "\n",
    "rcParams['figure.figsize'] = 8,6 ## Sets the heigth and width of image\n",
    "\n",
    "\n",
    "fig,ax=plt.subplots(1,2)\n",
    "fig.subplots_adjust(wspace=0.5) #Adjusts the space between the two plots\n",
    "plotMostCommonWords(positive_reviews,20,\"Positive Review Unigrams\",axis=ax[0])\n",
    "\n",
    "plotMostCommonWords(negative_reviews,20,\"Negative Review Unigrams\",color=\"red\",axis=ax[1])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### A unigram will not give us a clear understanding as to what is the customer trying to tell. Hence, we use bigrams."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bigrams"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bigrams are a combination of 2 words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining a function to create n-grams. It can be a combination of 2,3,4 or more words. This number can be given as an input to the function argument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generateNGram(text,n):\n",
    "    tokens=text.split(\" \")\n",
    "    ngrams = zip(*[tokens[i:] for i in range(n)])\n",
    "    return [\"_\".join(ngram) for ngram in ngrams]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating bigrams for postive and negative reviews separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_reviews_bigrams=[\" \".join(generateNGram(review,2)) for review in positive_reviews]\n",
    "negative_reviews_bigrams=[\" \".join(generateNGram(review,2)) for review in negative_reviews]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " 'classic_leatherglossi leatherglossi_gold gold_dial dial_awesom awesom_finish finish_product product_tooo tooo_goood goood_eye eye_catch catch_gift gift_father father_father father_law law_father father_elder elder_brother brother_love love_core core_highli highli_recommend recommend_gift gift_elder elder_',\n",
       " 'like_day day_date date_system system_watch watch_leather leather_belt belt_watch watch_sogood sogood_belt belt_soft soft_',\n",
       " 'good_product product_might might_give give_small small_itch itch_skin skin_whr whr_back back_dial dial_touch touch_hand hand_otherwis otherwis_fine fine_color color_golden golden_look look_much much_better better_pictur pictur_given given_total total_awesom awesom_product',\n",
       " 'gem_father father_wrist wrist_year year_seen seen_moder moder_use use_lot lot_water water_lash lash_titan titan_survivor survivor_father father_love love_ithad ithad_chang chang_leather leather_strap strap_due due_excess excess_use use_avail avail_cheap cheap_worth worth_valu valu_']"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_reviews_bigrams[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['figure.figsize'] = 15,20\n",
    "fig,ax=plt.subplots(1,2)\n",
    "fig.subplots_adjust(wspace=1)\n",
    "plotMostCommonWords(positive_reviews_bigrams,40,\"Positive Review Bigrams\",axis=ax[0])\n",
    "\n",
    "plotMostCommonWords(negative_reviews_bigrams,40,\"Negative Review Bigrams\",color=\"red\",axis=ax[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above barplot, we can see that the most common bigrams in positive reviews are good_product, nice_watch, value_money, good_look, etc.\n",
    "The most common bigrams in negative reviews are warranty_card, stop_work, worst_product, dont_buy, poor_quality, etc."
   ]
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}