MachineLearningWithSentiments.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7kSMiw6ipGLf"
   },
   "source": [
    "**Task 6**\n",
    "\n",
    "\n",
    "\n",
    "1.   Finding the most important ngram elements that impacted the classification for positive and negative classes.\n",
    "2.  Specify the class for each word or element retrieved\n",
    "\n",
    "**Additional Steps**\n",
    "1.   Observe the performance of each model for differnt ngrams using confusion matrix\n",
    "\n",
    "\n",
    "**Note** : Csv files in **./data/Task 5/Input/** are used as the input files for this sections. \n",
    "These files are output from varder sentiment analysis.\n",
    "\n",
    "Fig. 10, Fig. 11, Tabel V results are obtained from running this code. Refer to the code you can see comments above the exact code segment\n",
    "\n",
    "\n",
    " \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "2srZBP3LdzY3",
    "outputId": "1f9d836e-7905-49d6-80a1-0dd259e65d14"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\Sasini\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\Sasini\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to\n",
      "[nltk_data]     C:\\Users\\Sasini\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n",
      "[nltk_data] Downloading package omw-1.4 to\n",
      "[nltk_data]     C:\\Users\\Sasini\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package omw-1.4 is already up-to-date!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2963 741 2963 741\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finding most important Ngrams for ngram(2,3)\n",
      "Positive ngrams :\n",
      "['american red', 'american red cross', 'app easy', 'app everyone', 'app good', 'app great', 'app help', 'app helpful', 'app like', 'app must', 'app phone', 'app really', 'app useful', 'app work', 'awesome app', 'basic first', 'best app', 'case emergency', 'could save', 'easy understand', 'easy use', 'emergency situation', 'excellent app', 'first aid', 'first aid app', 'good app', 'great app', 'great idea', 'great information', 'great tool', 'hope never', 'life saving', 'like app', 'love app', 'never know', 'nice app', 'red cross', 'save life', 'use app', 'useful app', 'useful information', 'well done']\n",
      "Negative ngrams :\n",
      "['aid app', 'app could', 'correct answer', 'emergency app', 'emergency service', 'gps coordinate', 'save someone', 'someone life']\n",
      "\n",
      " Confusion Matrix for ngram(2,3) \n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "          -1       0.58      0.10      0.17       109\n",
      "           1       0.86      0.99      0.92       632\n",
      "\n",
      "    accuracy                           0.86       741\n",
      "   macro avg       0.72      0.54      0.55       741\n",
      "weighted avg       0.82      0.86      0.81       741\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Sasini\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finding most important Ngrams for ngram(3,4)\n",
      "Positive ngrams :\n",
      "['american red cross', 'app could save', 'app easy use', 'app first aid', 'app never know', 'app save life', 'basic first aid', 'best app ever', 'best first aid', 'best first aid app', 'could save life', 'could save someone', 'could save someone life', 'cpr first aid', 'cross first aid', 'easy use app', 'easy use understand', 'everyone need app', 'first aid app', 'first aid class', 'first aid course', 'first aid cpr', 'first aid emergency', 'first aid information', 'first aid training', 'great app emergency', 'great app everyone', 'great app useful', 'help save life', 'hope never need', 'hope never use', 'job red cross', 'know emergency situation', 'know might need', 'life saving app', 'lot useful information', 'never know emergency', 'never know might', 'never know might need', 'really good app', 'really like app', 'red cross app', 'red cross first', 'red cross first aid', 'save someone life', 'step step instruction', 'thank red cross', 'thanks red cross', 'well put together', 'would like see']\n",
      "Negative ngrams :\n",
      "[]\n",
      "\n",
      " Confusion Matrix for ngram(3,4) \n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "          -1       0.00      0.00      0.00       109\n",
      "           1       0.85      1.00      0.92       632\n",
      "\n",
      "    accuracy                           0.85       741\n",
      "   macro avg       0.43      0.50      0.46       741\n",
      "weighted avg       0.73      0.85      0.78       741\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Sasini\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from nltk.tag.sequential import NgramTagger\n",
    "import pandas as pd\n",
    "import nltk as nltk\n",
    "from nltk.corpus import stopwords\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay\n",
    "from sklearn.feature_selection import SelectFromModel\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "nltk.download('stopwords')\n",
    "nltk.download('punkt')\n",
    "stopWords = stopwords.words('english')\n",
    "nltk.download('wordnet')\n",
    "nltk.download('omw-1.4')\n",
    "\n",
    "emergencyPlus = pd.read_csv('./data/Task 6/Input/emergencyplus_combined_sentiment.csv')\n",
    "firstAid = pd.read_csv('./data/Task 6/Input/firstaid_combined_sentiment.csv')\n",
    "x = pd.concat([emergencyPlus, firstAid])\n",
    "\n",
    "reviewsPd = x.drop(x[(x['sentiment'] == 0)].index)\n",
    "lemmatizedReviews=[]\n",
    "\n",
    "def PreProcessData(reviews):\n",
    "    wn = nltk.WordNetLemmatizer()\n",
    "    stopWords = nltk.corpus.stopwords.words('english')\n",
    "    tokens = nltk.word_tokenize(reviews)\n",
    "    tokensConvertedToLower = [word.lower() for word in tokens]\n",
    "    tokensWithoutStopWords = [word for word in tokensConvertedToLower if word not in stopWords]\n",
    "    no_alpha = [word for word in tokensWithoutStopWords if word.isalpha()]\n",
    "    lemmatizedText = [wn.lemmatize(word) for word in no_alpha]\n",
    "    return lemmatizedText\n",
    "\n",
    "reviews = reviewsPd['Review']\n",
    "sentiments = reviewsPd['sentiment']\n",
    "\n",
    "for review in reviews:\n",
    "   lemmatizedData = PreProcessData(review)\n",
    "   lemmatizedText = ' '.join(lemmatizedData)\n",
    "   lemmatizedReviews.append(lemmatizedText)\n",
    "\n",
    "reviews_train, reviews_test, label_train, label_test = train_test_split(lemmatizedReviews, sentiments, test_size=0.2, random_state=0)  \n",
    "print(len(reviews_train), len(reviews_test), len(label_train), len(label_test) )\n",
    "\n",
    "def vectorize(data,tfidf_vect_fit):\n",
    "    X_tfidf = tfidf_vect_fit.transform(data)\n",
    "    words = tfidf_vect_fit.get_feature_names_out()\n",
    "    X_tfidf_df = pd.DataFrame(X_tfidf.toarray())\n",
    "    X_tfidf_df.columns = words\n",
    "    return(X_tfidf_df)\n",
    "\n",
    "def VectorizeData(x,y):\n",
    "  vectorizer = TfidfVectorizer(analyzer='word', token_pattern=r'\\w{1,}', ngram_range=(x,y),  max_features=50)\n",
    "  tfidf_vect_fit=vectorizer.fit(reviews_train)\n",
    "  reviewVectorized=vectorize(reviews_train,tfidf_vect_fit)\n",
    "  return reviewVectorized, vectorizer,tfidf_vect_fit\n",
    "\n",
    "def TrainRandomForestClassifier():\n",
    "  text_classifier = RandomForestClassifier(n_estimators=200, random_state=0)\n",
    "  text_classifier.fit(reviewVectorized, label_train)\n",
    "  return text_classifier;\n",
    "\n",
    "# Fig 10 in report is a result from running this command\n",
    "def PlotFeatureImportance(text_classifier, ngram):\n",
    "  feat_importances = pd.Series(text_classifier.feature_importances_, index=reviewVectorized.columns)\n",
    "  feat_importances.sort_values(ascending=True)\n",
    "  feat_importances.nlargest(50).plot(kind='bar',figsize=(10,10))\n",
    "  plt.title(\"Top 50 important features for \" + ngram)\n",
    "  plt.show()\n",
    "\n",
    "# TabelV in report is a result from running this command\n",
    "def ClassifyFeatureImportance():\n",
    "  features = pd.DataFrame()\n",
    "  features['importance'] = textClassifier.feature_importances_\n",
    "  features[\"names\"] = reviewVectorized.columns\n",
    "  features[\"prediction\"] = textClassifier.predict(vectorizer.transform(features[\"names\"]))\n",
    "  features.to_csv('c.csv', index=None, header=True)\n",
    "  positiveNgramsDf = features.loc[features['prediction'] == 1]\n",
    "  negativeNgramsDf = features.loc[features['prediction'] == -1]\n",
    "  print(\"Positive ngrams :\")\n",
    "  print(positiveNgramsDf['names'].tolist())\n",
    "  print(\"Negative ngrams :\")\n",
    "  print(negativeNgramsDf['names'].tolist())\n",
    "\n",
    "# Fig 11 in report is a result from running this command\n",
    "def CreateConfusionMatrix():\n",
    "  testDataVectorized=vectorize(reviews_test,tfIdfVectFit)\n",
    "  predictedValues = textClassifier.predict(testDataVectorized)\n",
    "  print(classification_report(label_test, predictedValues))\n",
    "  confusionMatrix = confusion_matrix(label_test, predictedValues)\n",
    "  cm_display = ConfusionMatrixDisplay(confusion_matrix = confusionMatrix, display_labels = [False, True])\n",
    "  cm_display.plot()\n",
    "  plt.show()\n",
    "\n",
    "\n",
    "\n",
    "reviewVectorized, vectorizer, tfIdfVectFit=VectorizeData(2,3)\n",
    "textClassifier = TrainRandomForestClassifier()\n",
    "PlotFeatureImportance(textClassifier, ngram ='ngram(2,3)')\n",
    "print('Finding most important Ngrams for ngram(2,3)')\n",
    "ClassifyFeatureImportance()\n",
    "print('\\n Confusion Matrix for ngram(2,3) \\n')\n",
    "CreateConfusionMatrix()\n",
    "\n",
    "reviewVectorized, vectorizer, tfIdfVectFit=VectorizeData(3,4)\n",
    "textClassifier = TrainRandomForestClassifier()\n",
    "PlotFeatureImportance(textClassifier, ngram ='ngram(3,4)')\n",
    "print('Finding most important Ngrams for ngram(3,4)')\n",
    "ClassifyFeatureImportance()\n",
    "print('\\n Confusion Matrix for ngram(3,4) \\n')\n",
    "CreateConfusionMatrix()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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