{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# HW4 PIPELINE + HW6\n",
    "## Building off HW2 + HW3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "## =======================================================\n",
    "## IMPORTING\n",
    "## =======================================================\n",
    "import os\n",
    "def get_data_from_files(path):\n",
    "    directory = os.listdir(path)\n",
    "    results = []\n",
    "    for file in directory:\n",
    "        f=open(path+file)\n",
    "        results.append(f.read())\n",
    "        f.close()\n",
    "    return results\n",
    "\n",
    "## =======================================================\n",
    "## TOKENIZING\n",
    "## =======================================================\n",
    "from nltk.tokenize import word_tokenize, sent_tokenize\n",
    "def get_tokens(sentence):\n",
    "    tokens = word_tokenize(sentence)\n",
    "    clean_tokens = [word.lower() for word in tokens if word.isalpha()]\n",
    "    return clean_tokens\n",
    "\n",
    "def get_sentence_tokens(review):\n",
    "    return sent_tokenize(review)\n",
    "\n",
    "## =======================================================\n",
    "## REMOVING STOPWORDS\n",
    "## =======================================================\n",
    "from nltk.corpus import stopwords\n",
    "stop_words = set(stopwords.words(\"english\"))\n",
    "def remove_stopwords(sentence):\n",
    "    filtered_text = []\n",
    "    for word in sentence:\n",
    "        if word not in stop_words:\n",
    "            filtered_text.append(word)\n",
    "    return filtered_text\n",
    "\n",
    "## =======================================================\n",
    "## FREQUENCY DISTRIBUTIONS\n",
    "## =======================================================\n",
    "from nltk.probability import FreqDist\n",
    "def get_most_common(tokens):\n",
    "    fdist = FreqDist(tokens)\n",
    "    return fdist.most_common(12)\n",
    "\n",
    "def get_most_common(tokens):\n",
    "    fdist = FreqDist(tokens)\n",
    "    return fdist.most_common(12)\n",
    "\n",
    "def get_fdist(tokens):\n",
    "    return (FreqDist(tokens))\n",
    "\n",
    "## =======================================================\n",
    "## SENTIMENT ANALYSIS\n",
    "## =======================================================\n",
    "from nltk.sentiment import SentimentAnalyzer\n",
    "from nltk.sentiment.util import *\n",
    "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
    "sid = SentimentIntensityAnalyzer()\n",
    "\n",
    "def get_vader_score(review):\n",
    "    return sid.polarity_scores(review)\n",
    "\n",
    "def separate_vader_score(vader_score, key):\n",
    "    return vader_score[key]\n",
    "\n",
    "## =======================================================\n",
    "## SUMMARIZER\n",
    "## =======================================================\n",
    "def get_weighted_freq_dist(review, freq_dist):\n",
    "    max_freq = max(freq_dist.values())\n",
    "    for word in freq_dist.keys():\n",
    "        freq_dist[word] = (freq_dist[word]/max_freq)\n",
    "    return freq_dist\n",
    "\n",
    "def get_sentence_score(review, freq_dist):\n",
    "    sentence_scores = {}\n",
    "    for sent in review:\n",
    "        for word in nltk.word_tokenize(sent.lower()):\n",
    "            if word in freq_dist.keys():\n",
    "                if len(sent.split(' ')) < 30:\n",
    "                    if sent not in sentence_scores.keys():\n",
    "                        sentence_scores[sent] = freq_dist[word]\n",
    "                    else:\n",
    "                        sentence_scores[sent] += freq_dist[word]\n",
    "    return sentence_scores\n",
    "\n",
    "def get_summary_sentences(sentence_scores):\n",
    "    sorted_sentences = sorted(sentence_scores.items(), key=lambda kv: kv[1], reverse=True)\n",
    "    return ''.join(sent[0] for sent in sorted_sentences[:5])\n",
    "\n",
    "def get_freq_words(freq_dist):\n",
    "    sorted_words = sorted(freq_dist.items(), key=lambda kv: kv[1], reverse=True)\n",
    "    return ' '.join(word[0] for word in sorted_words[:50])\n",
    "\n",
    "## =======================================================\n",
    "## MACHINE LEARNING -- NAIVE BAYES\n",
    "## =======================================================\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.naive_bayes import GaussianNB, MultinomialNB\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import confusion_matrix, classification_report\n",
    "\n",
    "# def get_NB(small_df, labels):\n",
    "#     x_train, x_test, y_train, y_test = train_test_split(small_df.values, labels, test_size=0.3, random_state = 109)\n",
    "\n",
    "#     gnb = GaussianNB()\n",
    "#     gnb.fit(x_train, y_train)\n",
    "#     y_pred = gnb.predict(x_test)\n",
    "#     print(\"Accuracy:\", metrics.accuracy_score(y_test, y_pred))\n",
    "    \n",
    "    \n",
    "def get_NB(small_df, labels, classifier, title):\n",
    "    seeds = [109, 210, 420, 19, 7]\n",
    "    dfs = []\n",
    "    overall = []\n",
    "    print(title)\n",
    "    for seed in seeds:\n",
    "        x_train, x_test, y_train, y_test = train_test_split(small_df.values, \n",
    "                                                            labels, test_size=0.3, random_state = seed)\n",
    "        gnb = classifier\n",
    "        gnb.fit(x_train, y_train).score(x_train, y_train)\n",
    "        y_pred = gnb.predict(x_test)\n",
    "        accuracy =  metrics.accuracy_score(y_test, y_pred)\n",
    "        report = metrics.classification_report(y_test, y_pred)\n",
    "        print(\"Accuracy:\", accuracy)\n",
    "#         print(report)\n",
    "        overall.append(accuracy)\n",
    "        cm = confusion_matrix(y_test, y_pred)\n",
    "        # confusion_matrix_graph(cm, accuracy, \"NB Multinomial Tokenized\")\n",
    "        tn, fp, fn, tp = cm.ravel()\n",
    "        df = pd.DataFrame({ 'labels': ['accuracy','true neg', 'false pos', 'false neg', 'true pos'], \n",
    "                           'nums': [accuracy, tn, fp, fn, tp] })\n",
    "        dfs.append(df)\n",
    "    print('AVERAGE ACCURACY:', sum(overall)/len(overall))\n",
    "    return dfs\n",
    "\n",
    "\n",
    "def display_NB_tables(dfs):\n",
    "    for df in dfs:\n",
    "        print(display(df))\n",
    "        \n",
    "## =======================================================\n",
    "## PLOTS\n",
    "## =======================================================        \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt \n",
    "def bar_plot(df, title): \n",
    "    graph = sns.barplot(y = \"count\", x = \"word\", data = df, palette = \"husl\")\n",
    "    plt.title(title)\n",
    "    plt.xlabel(\"Word\")\n",
    "    plt.ylabel(\"Count\")\n",
    "    sns.set_context(\"talk\")\n",
    "    plt.xticks(rotation = 90)\n",
    "    return plt\n",
    "\n",
    "from nltk.tokenize import casual_tokenize\n",
    "from collections import Counter\n",
    "\n",
    "\n",
    "## =======================================================\n",
    "## CLEANERS\n",
    "## =======================================================   \n",
    "import re, string\n",
    "def diy_cleaner(review):\n",
    "    try:\n",
    "        both = review.split('\\n')\n",
    "        title = both[0]\n",
    "        review = both[1]\n",
    "        review = review.replace(\"'\",\"\")\n",
    "    except:\n",
    "        review = review.replace(\"'\",\"\")\n",
    "    pattern = re.compile('[\\W_]+')\n",
    "    review = pattern.sub(' ', review)\n",
    "    cleaned = title + ' ' + title + ' ' + review\n",
    "    return cleaned.lower()\n",
    "\n",
    "def pruner(review):\n",
    "    clean_review = ' '.join([word for word in review.split() if len(word) > 3])\n",
    "    return clean_review\n",
    "\n",
    "sentim_analyzer = SentimentAnalyzer()\n",
    "def get_nltk_negs(tokens):\n",
    "    all_words_neg = sentim_analyzer.all_words([mark_negation(tokens)])\n",
    "    return all_words_neg\n",
    "\n",
    "def get_unigram_feats(neg_tokens):\n",
    "    unigram_feats = sentim_analyzer.unigram_word_feats(neg_tokens)\n",
    "    return unigram_feats\n",
    "    \n",
    "def get_bigram_feats(tokens):\n",
    "    ngrams = zip(*[tokens[i:] for i in range(2)])\n",
    "    return [\"_\".join(ngram) for ngram in ngrams]\n",
    "\n",
    "## =======================================================\n",
    "## HELPERS\n",
    "## =======================================================  \n",
    "def get_bow_from_column(df, column):\n",
    "    all_column_data = ' '.join(df[column].tolist())\n",
    "    all_column_fd = Counter(all_column_data.split())\n",
    "    return all_column_fd\n",
    "\n",
    "def get_common_words(num):\n",
    "    most_common_neg = [word[0] for word in big_bow_n.most_common(num)]\n",
    "    most_common_pos = [word[0] for word in big_bow_p.most_common(num)]\n",
    "    in_both = np.intersect1d(most_common_neg, most_common_pos)\n",
    "    neg_notpos = np.setdiff1d(most_common_neg, most_common_pos)\n",
    "    pos_notneg = np.setdiff1d(most_common_pos, most_common_neg)\n",
    "    return [len(in_both), len(neg_notpos), len(pos_notneg), len(in_both)/num, in_both, neg_notpos, pos_notneg]\n",
    "\n",
    "def get_only_polarized(tokens, common_words):\n",
    "    return [token for token in tokens if token not in common_words[4]] # 70\n",
    "\n",
    "## =======================================================\n",
    "## VISUALS\n",
    "## =======================================================  \n",
    "import wordcloud\n",
    "from wordcloud import WordCloud, ImageColorGenerator\n",
    "from PIL import Image\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt \n",
    "def create_word_cloud_with_mask(path_of_mask_image, dictionary, \n",
    "                                max_num_words, title):\n",
    "        mask = np.array(Image.open(path_of_mask_image))\n",
    "        word_cloud = WordCloud(background_color = \"white\", \n",
    "                               max_words = max_num_words, \n",
    "                               mask = mask, max_font_size = 125, \n",
    "                               random_state = 1006)\n",
    "        word_cloud.generate_from_frequencies(dictionary)\n",
    "        image_colors = ImageColorGenerator(mask)\n",
    "        plt.figure(figsize = [8,8])\n",
    "        plt.imshow(word_cloud.recolor(color_func = image_colors), interpolation = \"bilinear\")\n",
    "        plt.title(title)\n",
    "        sns.set_context(\"poster\")\n",
    "        plt.axis(\"off\")\n",
    "        return plt\n",
    "    \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt \n",
    "def bar_plot(df, title): \n",
    "    graph = sns.barplot(y = \"count\", x = \"word\", data = df, palette = \"husl\")\n",
    "    plt.title(title)\n",
    "    plt.xlabel(\"Word\")\n",
    "    plt.ylabel(\"Count\")\n",
    "    sns.set_context(\"talk\")\n",
    "    plt.xticks(rotation = 90)\n",
    "    return plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# neg = get_data_from_files('../NEG_JK/')\n",
    "# pos = get_data_from_files('../POS_JK/')\n",
    "\n",
    "# neg = get_data_from_files('../neg_cornell/')\n",
    "# pos = get_data_from_files('../pos_cornell/')\n",
    "\n",
    "# neg = get_data_from_files('../neg_hw4/')\n",
    "# pos = get_data_from_files('../pos_hw4/')\n",
    "\n",
    "neg = get_data_from_files('../hw4_lie_false/')\n",
    "pos = get_data_from_files('../hw4_lie_true/')\n",
    "\n",
    "# pos = get_data_from_files('../hw4_lie_false/')\n",
    "# neg = get_data_from_files('../hw4_lie_true/')\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "neg_df = pd.DataFrame(neg)\n",
    "pos_df = pd.DataFrame(pos)\n",
    "pos_df['PoN'] = 'P'\n",
    "neg_df['PoN'] = 'N'\n",
    "all_df = neg_df.append(pos_df)\n",
    "\n",
    "all_df['tokens'] = all_df.apply(lambda x: get_tokens(x[0]), axis=1)\n",
    "all_df['num_tokens'] = all_df.apply(lambda x: len(x['tokens']), axis=1)\n",
    "\n",
    "all_df = all_df.drop(all_df[all_df.num_tokens < 1].index)\n",
    "\n",
    "all_df['sentences'] = all_df.apply(lambda x: get_sentence_tokens(x[0]), axis=1)\n",
    "all_df['num_sentences'] = all_df.apply(lambda x: len(x['sentences']), axis=1)\n",
    "\n",
    "all_df['no_sw'] = all_df.apply(lambda x: remove_stopwords(x['tokens']),axis=1)\n",
    "all_df['num_no_sw'] = all_df.apply(lambda x: len(x['no_sw']),axis=1)\n",
    "\n",
    "all_df['topwords_unfil'] = all_df.apply(lambda x: get_most_common(x['tokens']),axis=1)\n",
    "all_df['topwords_fil'] = all_df.apply(lambda x: get_most_common(x['no_sw']),axis=1)\n",
    "\n",
    "all_df['freq_dist'] = all_df.apply(lambda x: get_fdist(x['no_sw']),axis=1)\n",
    "all_df['freq_dist_unfil'] = all_df.apply(lambda x: get_fdist(x['tokens']),axis=1)\n",
    "\n",
    "all_df['vader_all'] = all_df.apply(lambda x: get_vader_score(x[0]),axis=1)\n",
    "all_df['v_compound'] = all_df.apply(lambda x: separate_vader_score(x['vader_all'], 'compound'),axis=1)\n",
    "all_df['v_neg'] = all_df.apply(lambda x: separate_vader_score(x['vader_all'], 'neg'),axis=1)\n",
    "all_df['v_neu'] = all_df.apply(lambda x: separate_vader_score(x['vader_all'], 'neu'),axis=1)\n",
    "all_df['v_pos'] = all_df.apply(lambda x: separate_vader_score(x['vader_all'], 'pos'),axis=1)\n",
    "\n",
    "all_df['weighted_freq_dist'] = all_df.apply(lambda x: get_weighted_freq_dist(x['sentences'], x['freq_dist']),axis=1)\n",
    "all_df['sentence_scores'] = all_df.apply(lambda x: get_sentence_score(x['sentences'], x['freq_dist']),axis=1)\n",
    "all_df['summary_sentences'] = all_df.apply(lambda x: get_summary_sentences(x['sentence_scores']), axis=1)\n",
    "\n",
    "all_df['vader_sum_all'] = all_df.apply(lambda x: get_vader_score(x['summary_sentences']),axis=1)\n",
    "all_df['v_compound_sum'] = all_df.apply(lambda x: separate_vader_score(x['vader_sum_all'], 'compound'),axis=1)\n",
    "all_df['v_neg_sum'] = all_df.apply(lambda x: separate_vader_score(x['vader_sum_all'], 'neg'),axis=1)\n",
    "all_df['v_neu_sum'] = all_df.apply(lambda x: separate_vader_score(x['vader_sum_all'], 'neu'),axis=1)\n",
    "all_df['v_pos_sum'] = all_df.apply(lambda x: separate_vader_score(x['vader_sum_all'], 'pos'),axis=1)\n",
    "\n",
    "all_df['v_freq_words'] = all_df.apply(lambda x: get_freq_words(x['freq_dist']), axis=1)\n",
    "\n",
    "all_df['vader_fq_all'] = all_df.apply(lambda x: get_vader_score(x['v_freq_words']),axis=1)\n",
    "all_df['v_compound_fd'] = all_df.apply(lambda x: separate_vader_score(x['vader_fq_all'], 'compound'),axis=1)\n",
    "all_df['v_neg_fd'] = all_df.apply(lambda x: separate_vader_score(x['vader_fq_all'], 'neg'),axis=1)\n",
    "all_df['v_neu_fd'] = all_df.apply(lambda x: separate_vader_score(x['vader_fq_all'], 'neu'),axis=1)\n",
    "all_df['v_pos_fd'] = all_df.apply(lambda x: separate_vader_score(x['vader_fq_all'], 'pos'),axis=1)\n",
    "\n",
    "all_df['bow'] = all_df.apply(lambda x: Counter(x['tokens']), axis=1)\n",
    "all_df['bow_nosw'] = all_df.apply(lambda x: Counter(x['no_sw']), axis=1)\n",
    "\n",
    "all_df['diy_cleaner'] = all_df.apply(lambda x: diy_cleaner(x[0]), axis=1)\n",
    "all_df['pruned'] = all_df.apply(lambda x: pruner(x['diy_cleaner']), axis=1)\n",
    "\n",
    "all_df['nltk_negs'] = all_df.apply(lambda x: get_nltk_negs(x['tokens']), axis=1)\n",
    "all_df['unigram_feats'] = all_df.apply(lambda x: get_unigram_feats(x['nltk_negs']), axis=1)\n",
    "all_df['bigram_feats'] = all_df.apply(lambda x: get_bigram_feats(x['tokens']), axis=1)\n",
    "all_df['bigram_feats_neg'] = all_df.apply(lambda x: get_bigram_feats(x['nltk_negs']), axis=1)\n",
    "\n",
    "big_bow = get_bow_from_column(all_df, 'pruned')\n",
    "big_bow_n = get_bow_from_column(all_df[all_df['PoN'] == 'N'], 'pruned')\n",
    "big_bow_p = get_bow_from_column(all_df[all_df['PoN'] == 'P'], 'pruned')\n",
    "\n",
    "most_common_neg = [word[0] for word in big_bow_n.most_common(100)]\n",
    "most_common_pos = [word[0] for word in big_bow_p.most_common(100)]\n",
    "\n",
    "\n",
    "\n",
    "all_df['no_shared_words'] = all_df.apply(lambda x: get_only_polarized(x['tokens'], get_common_words(500)), axis=1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>0</th>\n",
       "      <th>PoN</th>\n",
       "      <th>tokens</th>\n",
       "      <th>num_tokens</th>\n",
       "      <th>sentences</th>\n",
       "      <th>num_sentences</th>\n",
       "      <th>no_sw</th>\n",
       "      <th>num_no_sw</th>\n",
       "      <th>topwords_unfil</th>\n",
       "      <th>topwords_fil</th>\n",
       "      <th>...</th>\n",
       "      <th>v_pos_fd</th>\n",
       "      <th>bow</th>\n",
       "      <th>bow_nosw</th>\n",
       "      <th>diy_cleaner</th>\n",
       "      <th>pruned</th>\n",
       "      <th>nltk_negs</th>\n",
       "      <th>unigram_feats</th>\n",
       "      <th>bigram_feats</th>\n",
       "      <th>bigram_feats_neg</th>\n",
       "      <th>no_shared_words</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Hibachi the grill is one of my favorite restau...</td>\n",
       "      <td>N</td>\n",
       "      <td>[hibachi, the, grill, is, one, of, my, favorit...</td>\n",
       "      <td>65</td>\n",
       "      <td>[Hibachi the grill is one of my favorite resta...</td>\n",
       "      <td>5</td>\n",
       "      <td>[hibachi, grill, one, favorite, restaurants, l...</td>\n",
       "      <td>30</td>\n",
       "      <td>[(the, 8), (is, 6), (it, 3), (hibachi, 2), (gr...</td>\n",
       "      <td>[(hibachi, 2), (grill, 2), (restaurants, 2), (...</td>\n",
       "      <td>...</td>\n",
       "      <td>0.388</td>\n",
       "      <td>{'hibachi': 2, 'the': 8, 'grill': 2, 'is': 6, ...</td>\n",
       "      <td>{'hibachi': 2, 'grill': 2, 'one': 1, 'favorite...</td>\n",
       "      <td>hibachi the grill is one of my favorite restau...</td>\n",
       "      <td>hibachi grill favorite restaurants. like drama...</td>\n",
       "      <td>[hibachi, the, grill, is, one, of, my, favorit...</td>\n",
       "      <td>[the, is, it, hibachi, grill, of, restaurants,...</td>\n",
       "      <td>[hibachi_the, the_grill, grill_is, is_one, one...</td>\n",
       "      <td>[hibachi_the, the_grill, grill_is, is_one, one...</td>\n",
       "      <td>[hibachi, the, grill, is, one, of, my, restaur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>RIM KAAP One of the best Thai restaurants in t...</td>\n",
       "      <td>N</td>\n",
       "      <td>[rim, kaap, one, of, the, best, thai, restaura...</td>\n",
       "      <td>141</td>\n",
       "      <td>[RIM KAAP One of the best Thai restaurants in ...</td>\n",
       "      <td>11</td>\n",
       "      <td>[rim, kaap, one, best, thai, restaurants, town...</td>\n",
       "      <td>75</td>\n",
       "      <td>[(the, 12), (of, 3), (thai, 3), (and, 3), (for...</td>\n",
       "      <td>[(thai, 3), (food, 3), (rim, 2), (kaap, 2), (b...</td>\n",
       "      <td>...</td>\n",
       "      <td>0.369</td>\n",
       "      <td>{'rim': 2, 'kaap': 2, 'one': 1, 'of': 3, 'the'...</td>\n",
       "      <td>{'rim': 2, 'kaap': 2, 'one': 1, 'best': 2, 'th...</td>\n",
       "      <td>rim kaap one of the best thai restaurants in t...</td>\n",
       "      <td>kaap best thai restaurants towns best location...</td>\n",
       "      <td>[rim, kaap, one, of, the, best, thai, restaura...</td>\n",
       "      <td>[the, the_NEG, thai, rim, kaap, best, in, to, ...</td>\n",
       "      <td>[rim_kaap, kaap_one, one_of, of_the, the_best,...</td>\n",
       "      <td>[rim_kaap, kaap_one, one_of, of_the, the_best,...</td>\n",
       "      <td>[rim, kaap, one, of, the, restaurants, in, tow...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Its hard to pick a favorite dining experience ...</td>\n",
       "      <td>N</td>\n",
       "      <td>[its, hard, to, pick, a, favorite, dining, exp...</td>\n",
       "      <td>119</td>\n",
       "      <td>[Its hard to pick a favorite dining experience...</td>\n",
       "      <td>7</td>\n",
       "      <td>[hard, pick, favorite, dining, experience, cio...</td>\n",
       "      <td>62</td>\n",
       "      <td>[(the, 7), (to, 4), (is, 4), (my, 3), (and, 3)...</td>\n",
       "      <td>[(food, 2), (italy, 2), (mother, 2), (hard, 1)...</td>\n",
       "      <td>...</td>\n",
       "      <td>0.269</td>\n",
       "      <td>{'its': 2, 'hard': 1, 'to': 4, 'pick': 1, 'a':...</td>\n",
       "      <td>{'hard': 1, 'pick': 1, 'favorite': 1, 'dining'...</td>\n",
       "      <td>its hard to pick a favorite dining experience ...</td>\n",
       "      <td>hard pick favorite dining experience cioccolat...</td>\n",
       "      <td>[its, hard, to, pick, a, favorite, dining, exp...</td>\n",
       "      <td>[the, to, he, the_NEG, its, is, food, my, of, ...</td>\n",
       "      <td>[its_hard, hard_to, to_pick, pick_a, a_favorit...</td>\n",
       "      <td>[its_hard, hard_to, to_pick, pick_a, a_favorit...</td>\n",
       "      <td>[its, to, a, at, cioccolato, frizzante, the, i...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   0 PoN  \\\n",
       "1  Hibachi the grill is one of my favorite restau...   N   \n",
       "2  RIM KAAP One of the best Thai restaurants in t...   N   \n",
       "4  Its hard to pick a favorite dining experience ...   N   \n",
       "\n",
       "                                              tokens  num_tokens  \\\n",
       "1  [hibachi, the, grill, is, one, of, my, favorit...          65   \n",
       "2  [rim, kaap, one, of, the, best, thai, restaura...         141   \n",
       "4  [its, hard, to, pick, a, favorite, dining, exp...         119   \n",
       "\n",
       "                                           sentences  num_sentences  \\\n",
       "1  [Hibachi the grill is one of my favorite resta...              5   \n",
       "2  [RIM KAAP One of the best Thai restaurants in ...             11   \n",
       "4  [Its hard to pick a favorite dining experience...              7   \n",
       "\n",
       "                                               no_sw  num_no_sw  \\\n",
       "1  [hibachi, grill, one, favorite, restaurants, l...         30   \n",
       "2  [rim, kaap, one, best, thai, restaurants, town...         75   \n",
       "4  [hard, pick, favorite, dining, experience, cio...         62   \n",
       "\n",
       "                                      topwords_unfil  \\\n",
       "1  [(the, 8), (is, 6), (it, 3), (hibachi, 2), (gr...   \n",
       "2  [(the, 12), (of, 3), (thai, 3), (and, 3), (for...   \n",
       "4  [(the, 7), (to, 4), (is, 4), (my, 3), (and, 3)...   \n",
       "\n",
       "                                        topwords_fil  ... v_pos_fd  \\\n",
       "1  [(hibachi, 2), (grill, 2), (restaurants, 2), (...  ...    0.388   \n",
       "2  [(thai, 3), (food, 3), (rim, 2), (kaap, 2), (b...  ...    0.369   \n",
       "4  [(food, 2), (italy, 2), (mother, 2), (hard, 1)...  ...    0.269   \n",
       "\n",
       "                                                 bow  \\\n",
       "1  {'hibachi': 2, 'the': 8, 'grill': 2, 'is': 6, ...   \n",
       "2  {'rim': 2, 'kaap': 2, 'one': 1, 'of': 3, 'the'...   \n",
       "4  {'its': 2, 'hard': 1, 'to': 4, 'pick': 1, 'a':...   \n",
       "\n",
       "                                            bow_nosw  \\\n",
       "1  {'hibachi': 2, 'grill': 2, 'one': 1, 'favorite...   \n",
       "2  {'rim': 2, 'kaap': 2, 'one': 1, 'best': 2, 'th...   \n",
       "4  {'hard': 1, 'pick': 1, 'favorite': 1, 'dining'...   \n",
       "\n",
       "                                         diy_cleaner  \\\n",
       "1  hibachi the grill is one of my favorite restau...   \n",
       "2  rim kaap one of the best thai restaurants in t...   \n",
       "4  its hard to pick a favorite dining experience ...   \n",
       "\n",
       "                                              pruned  \\\n",
       "1  hibachi grill favorite restaurants. like drama...   \n",
       "2  kaap best thai restaurants towns best location...   \n",
       "4  hard pick favorite dining experience cioccolat...   \n",
       "\n",
       "                                           nltk_negs  \\\n",
       "1  [hibachi, the, grill, is, one, of, my, favorit...   \n",
       "2  [rim, kaap, one, of, the, best, thai, restaura...   \n",
       "4  [its, hard, to, pick, a, favorite, dining, exp...   \n",
       "\n",
       "                                       unigram_feats  \\\n",
       "1  [the, is, it, hibachi, grill, of, restaurants,...   \n",
       "2  [the, the_NEG, thai, rim, kaap, best, in, to, ...   \n",
       "4  [the, to, he, the_NEG, its, is, food, my, of, ...   \n",
       "\n",
       "                                        bigram_feats  \\\n",
       "1  [hibachi_the, the_grill, grill_is, is_one, one...   \n",
       "2  [rim_kaap, kaap_one, one_of, of_the, the_best,...   \n",
       "4  [its_hard, hard_to, to_pick, pick_a, a_favorit...   \n",
       "\n",
       "                                    bigram_feats_neg  \\\n",
       "1  [hibachi_the, the_grill, grill_is, is_one, one...   \n",
       "2  [rim_kaap, kaap_one, one_of, of_the, the_best,...   \n",
       "4  [its_hard, hard_to, to_pick, pick_a, a_favorit...   \n",
       "\n",
       "                                     no_shared_words  \n",
       "1  [hibachi, the, grill, is, one, of, my, restaur...  \n",
       "2  [rim, kaap, one, of, the, restaurants, in, tow...  \n",
       "4  [its, to, a, at, cioccolato, frizzante, the, i...  \n",
       "\n",
       "[3 rows x 40 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_df[:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SAVE TO CSV!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_df.to_csv('hw6_data_sentiment.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vader Scores -- Gaussian\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.4074074074074074\n",
      "AVERAGE ACCURACY: 0.44444444444444436\n"
     ]
    }
   ],
   "source": [
    "small_df = all_df.filter(['v_compound','v_pos', 'v_neg', 'v_neu'])\n",
    "tables = get_NB(small_df, all_df['PoN'], GaussianNB(), 'Vader Scores -- Gaussian')\n",
    "# display_NB_tables(tables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Positive Vader Scores -- Multinomial\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.4074074074074074\n",
      "Accuracy: 0.4074074074074074\n",
      "AVERAGE ACCURACY: 0.45185185185185184\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n"
     ]
    }
   ],
   "source": [
    "small_df = all_df.filter(['v_pos','v_neu'])\n",
    "tables = get_NB(small_df, all_df['PoN'], MultinomialNB(), 'Positive Vader Scores -- Multinomial')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vader Scores from Summary -- Gaussian\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.48148148148148145\n",
      "AVERAGE ACCURACY: 0.5407407407407407\n"
     ]
    }
   ],
   "source": [
    "small_df = all_df.filter(['v_compound_sum','v_pos_sum', 'v_neg_sum', 'v_neu_sum']) \n",
    "tables = get_NB(small_df, all_df['PoN'], GaussianNB(), 'Vader Scores from Summary -- Gaussian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vader Scores (original) and Vader Scores (summary) -- Gaussian\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.6666666666666666\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.4074074074074074\n",
      "AVERAGE ACCURACY: 0.5259259259259259\n"
     ]
    }
   ],
   "source": [
    "small_df = all_df.filter(['v_compound_sum','v_pos_sum', 'v_neg_sum', 'v_neu_sum', \n",
    "                          'v_compound','v_pos', 'v_neg', 'v_neu'])\n",
    "tables = get_NB(small_df, all_df['PoN'], GaussianNB(), 'Vader Scores (original) and Vader Scores (summary) -- Gaussian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vader Scores 50 most frequent filtered words -- Gaussian\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5925925925925926\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5925925925925926\n",
      "AVERAGE ACCURACY: 0.562962962962963\n"
     ]
    }
   ],
   "source": [
    "small_df = all_df.filter(['v_compound_fd','v_pos_fd', 'v_neu_fd', 'v_neg_fd'])\n",
    "tables = get_NB(small_df, all_df['PoN'], GaussianNB(), 'Vader Scores 50 most frequent filtered words -- Gaussian')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bag of Words & Machine Learning "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting point -- Gaussian\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5185185185185185\n",
      "AVERAGE ACCURACY: 0.5259259259259259\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v1'] = all_df.apply(lambda x: Counter(x['tokens']), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v1'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, GaussianNB(), 'Starting point -- Gaussian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting point -- Multinomial\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.5925925925925926\n",
      "AVERAGE ACCURACY: 0.5259259259259259\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v1'] = all_df.apply(lambda x: Counter(x['tokens']), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v1'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, MultinomialNB(), 'Starting point -- Multinomial')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting point -- Bernoulli\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.4074074074074074\n",
      "Accuracy: 0.4074074074074074\n",
      "AVERAGE ACCURACY: 0.45925925925925926\n"
     ]
    }
   ],
   "source": [
    "new_df = new_df.astype(bool).astype(int)\n",
    "tables = get_NB(new_df, new_df.index, BernoulliNB(), 'Starting point -- Bernoulli')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DIY Cleaner -- Gaussian\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5925925925925926\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.48148148148148145\n",
      "AVERAGE ACCURACY: 0.5111111111111111\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v2'] = all_df.apply(lambda x: Counter(casual_tokenize(x['diy_cleaner'])), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v2'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, GaussianNB(), 'DIY Cleaner -- Gaussian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DIY Cleaner -- Multinomial\n",
      "Accuracy: 0.4074074074074074\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.4444444444444444\n",
      "AVERAGE ACCURACY: 0.4814814814814815\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v2'] = all_df.apply(lambda x: Counter(casual_tokenize(x['diy_cleaner'])), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v2'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, MultinomialNB(), 'DIY Cleaner -- Multinomial')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DIY Cleaner -- Bernoulli\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.4074074074074074\n",
      "Accuracy: 0.4074074074074074\n",
      "AVERAGE ACCURACY: 0.4666666666666667\n"
     ]
    }
   ],
   "source": [
    "new_df = new_df.astype(bool).astype(int)\n",
    "tables = get_NB(new_df, new_df.index, BernoulliNB(), 'DIY Cleaner -- Bernoulli')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pruned Words -- Gaussian\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.5185185185185185\n",
      "AVERAGE ACCURACY: 0.5111111111111111\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v3'] = all_df.apply(lambda x: Counter(casual_tokenize(x['pruned'])), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v3'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, GaussianNB(), 'Pruned Words -- Gaussian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pruned Words -- Multinomial\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5925925925925926\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.5555555555555556\n",
      "AVERAGE ACCURACY: 0.562962962962963\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v3'] = all_df.apply(lambda x: Counter(casual_tokenize(x['pruned'])), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v3'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, MultinomialNB(), 'Pruned Words -- Multinomial')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pruned Words -- Bernoulli\n",
      "Accuracy: 0.5925925925925926\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.4444444444444444\n",
      "AVERAGE ACCURACY: 0.4962962962962962\n"
     ]
    }
   ],
   "source": [
    "new_df = new_df.astype(bool).astype(int)\n",
    "tables = get_NB(new_df, new_df.index, BernoulliNB(), 'Pruned Words -- Bernoulli')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NLTK negs -- Gaussian\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5925925925925926\n",
      "Accuracy: 0.4074074074074074\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.48148148148148145\n",
      "AVERAGE ACCURACY: 0.4962962962962963\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v4'] = all_df.apply(lambda x: Counter(casual_tokenize(' '.join(x['nltk_negs']))), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v4'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, GaussianNB(), 'NLTK negs -- Gaussian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NLTK negs -- Multinomial\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5925925925925926\n",
      "Accuracy: 0.4074074074074074\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.48148148148148145\n",
      "AVERAGE ACCURACY: 0.4962962962962963\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v4'] = all_df.apply(lambda x: Counter(casual_tokenize(' '.join(x['nltk_negs']))), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v4'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, GaussianNB(), 'NLTK negs -- Multinomial')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NLTK negs -- Bernoulli\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.4444444444444444\n",
      "Accuracy: 0.37037037037037035\n",
      "AVERAGE ACCURACY: 0.4666666666666666\n"
     ]
    }
   ],
   "source": [
    "new_df = new_df.astype(bool).astype(int)\n",
    "tables = get_NB(new_df, new_df.index, BernoulliNB(), 'NLTK negs -- Bernoulli')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bigram Feats -- Gaussian\n",
      "Accuracy: 0.4074074074074074\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.48148148148148145\n",
      "AVERAGE ACCURACY: 0.5037037037037038\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v5'] = all_df.apply(lambda x: Counter(casual_tokenize(' '.join(x['bigram_feats']))), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v5'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, GaussianNB(), 'Bigram Feats -- Gaussian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bigram Feats -- Multinomial\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.6666666666666666\n",
      "AVERAGE ACCURACY: 0.5851851851851851\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v5'] = all_df.apply(lambda x: Counter(casual_tokenize(' '.join(x['bigram_feats']))), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v5'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, MultinomialNB(), 'Bigram Feats -- Multinomial')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bigram Feats -- Bernoulli\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.48148148148148145\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5185185185185185\n",
      "Accuracy: 0.4074074074074074\n",
      "AVERAGE ACCURACY: 0.4962962962962963\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n"
     ]
    }
   ],
   "source": [
    "new_df = new_df.astype(bool).astype(int)\n",
    "tables = get_NB(new_df, new_df.index, BernoulliNB(), 'Bigram Feats -- Bernoulli')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No Shared Words -- Gaussian\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.7037037037037037\n",
      "Accuracy: 0.5925925925925926\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.6666666666666666\n",
      "AVERAGE ACCURACY: 0.6296296296296295\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v6'] = all_df.apply(lambda x: Counter(casual_tokenize(' '.join(x['no_shared_words']))), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v6'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, GaussianNB(), 'No Shared Words -- Gaussian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No Shared Words -- Multinomial\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.7037037037037037\n",
      "Accuracy: 0.6666666666666666\n",
      "AVERAGE ACCURACY: 0.6370370370370371\n"
     ]
    }
   ],
   "source": [
    "all_df['bow_v6'] = all_df.apply(lambda x: Counter(casual_tokenize(' '.join(x['no_shared_words']))), axis=1)\n",
    "new_df = pd.DataFrame(all_df['bow_v6'].tolist(), all_df['PoN'])\n",
    "new_df = new_df.fillna(0).astype(int)\n",
    "new_df[:5]\n",
    "tables = get_NB(new_df, new_df.index, MultinomialNB(), 'No Shared Words -- Multinomial')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No Shared Words -- Bernoulli\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.6296296296296297\n",
      "Accuracy: 0.5555555555555556\n",
      "Accuracy: 0.5925925925925926\n",
      "AVERAGE ACCURACY: 0.5925925925925926\n"
     ]
    }
   ],
   "source": [
    "new_df = new_df.astype(bool).astype(int)\n",
    "tables = get_NB(new_df, new_df.index, BernoulliNB(), 'No Shared Words -- Bernoulli')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'matplotlib.pyplot' from '/usr/local/lib/python3.7/site-packages/matplotlib/pyplot.py'>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_word_cloud_with_mask('yellow_square.png', big_bow, 750, \"Top Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'matplotlib.pyplot' from '/usr/local/lib/python3.7/site-packages/matplotlib/pyplot.py'>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_word_cloud_with_mask('red_square.png', big_bow_n, 750, \"Top Negative Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'matplotlib.pyplot' from '/usr/local/lib/python3.7/site-packages/matplotlib/pyplot.py'>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_word_cloud_with_mask('green_square.png', big_bow_p, 750, \"Top Positive Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5222222222222223 | B? F | CV: 5 | Classifier: BernoulliNB\n",
      "0.5015873015873016 | B? F | CV: 3 | Classifier: BernoulliNB\n",
      "0.5361111111111111 | B? F | CV: 5 | Classifier: MultinomialNB\n",
      "0.5 | B? F | CV: 3 | Classifier: MultinomialNB\n",
      "0.5222222222222223 | B? T | CV: 5 | Classifier: MultinomialNB\n",
      "0.5015873015873016 | B? T | CV: 3 | Classifier: MultinomialNB\n"
     ]
    }
   ],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.naive_bayes import BernoulliNB, MultinomialNB\n",
    "\n",
    "def runPipeline(classifier, boolean, cv, X, y):\n",
    "    nb_clf_pipe = Pipeline([('vect', CountVectorizer(encoding='latin-1', binary=boolean)),('nb', classifier)])\n",
    "    scores = cross_val_score(nb_clf_pipe, X, y, cv=cv)\n",
    "    avg=sum(scores)/len(scores)\n",
    "#     pretty_line = \"{} | Accuracy using {} -- and booleans? {}\"\n",
    "    pretty_line = \"{} | B? {} | CV: {} | Classifier: {}\"\n",
    "    print(pretty_line.format(avg, str(boolean)[0], cv, str(classifier).split('(')[0]))\n",
    "\n",
    "# X = array of data\n",
    "# y = array of labels\n",
    "\n",
    "hw6 = all_df[[0,'PoN']]\n",
    "X = hw6[0].tolist()\n",
    "y = hw6['PoN'].tolist()\n",
    "\n",
    "runPipeline(BernoulliNB(), False, 5, X=X, y=y)\n",
    "runPipeline(BernoulliNB(), False, 3, X=X, y=y)\n",
    "runPipeline(MultinomialNB(), False, 5, X=X, y=y)\n",
    "runPipeline(MultinomialNB(), False, 3, X=X, y=y)\n",
    "runPipeline(MultinomialNB(), True, 5,  X=X, y=y)\n",
    "runPipeline(MultinomialNB(), True, 3,  X=X, y=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    0                     PoN\n",
      "--  --------------------  -----\n",
      " 1  Hibachi the grill is  N\n",
      " 2  RIM KAAP One of the   N\n",
      " 4  Its hard to pick a f  N\n",
      " 5  I ate at this restau  N\n",
      " 6  Carlos Plate Shack w  N\n",
      " 7  I recently ate at a   N\n",
      " 8  Twin Trees Cicero NY  N\n",
      " 9  This place was one o  N\n",
      "10  I dont usually write  N\n",
      "11  I went into the rest  N\n"
     ]
    }
   ],
   "source": [
    "from tabulate import tabulate\n",
    "\n",
    "df = hw6\n",
    "def shorten(long_string):\n",
    "    return long_string[:1] if len(long_string) < 21 else long_string[:20]\n",
    "\n",
    "def df_for_tabulate(df, column):\n",
    "    pretty_df = df.copy()\n",
    "    pretty_df[column] = pretty_df.apply(lambda x: shorten(x[column]), axis = 1)\n",
    "    return pretty_df\n",
    "    \n",
    "tabulate_df = df_for_tabulate(df, 0)\n",
    "print(tabulate(tabulate_df[:10], tablefmt=\"simple\", headers=tabulate_df.columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
