Sentiment_Analysis_Of_Tweets_Using_Naive_Bayes.ipynb

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      "name": "Sentiment_Analysis_Of_Tweets_Using_Naive_Bayes.ipynb",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/mc2259/Sentiment_Analaysis_of_Tweets/blob/master/Sentiment_Analysis_Of_Tweets_Using_Naive_Bayes.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_Wlvvw0GPTe0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import re\n",
        "import pdb\n",
        "from nltk.corpus import stopwords, twitter_samples\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import nltk\n",
        "import string\n",
        "from nltk.tokenize import TweetTokenizer\n",
        "from nltk.corpus import twitter_samples    # sample Twitter dataset from NLTK\n",
        "import matplotlib.pyplot as plt            # library for visualization\n",
        "import random \n",
        "from os import getcwd\n",
        "from nltk.stem import PorterStemmer  "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BRfm-3fGPbhz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "448d364a-984d-47be-c345-7b3e41ffdddc"
      },
      "source": [
        "nltk.download('stopwords')\n",
        "nltk.download('twitter_samples')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n",
            "[nltk_data] Downloading package twitter_samples to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/twitter_samples.zip.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bbsoknEvfkkO",
        "colab_type": "text"
      },
      "source": [
        "Creating Training and Test Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sdkW2jI2Pxa9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "positive_tweets = twitter_samples.strings('positive_tweets.json')\n",
        "negative_tweets = twitter_samples.strings('negative_tweets.json')\n",
        "test_pos = positive_tweets[4000:]\n",
        "train_pos = positive_tweets[:4000]\n",
        "test_neg = negative_tweets[4000:]\n",
        "train_neg = negative_tweets[:4000]\n",
        "train_x = train_pos + train_neg\n",
        "test_x = test_pos + test_neg\n",
        "train_y = np.append(np.ones(len(train_pos)), np.zeros(len(train_neg)))\n",
        "test_y = np.append(np.ones(len(test_pos)), np.zeros(len(test_neg)))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fHzL_p-mgDPX",
        "colab_type": "text"
      },
      "source": [
        "PREPROCESSING USING LEMMATIZATION AND STEMMING"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w3NTw8sxVvKk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def process_tweets(tweet):\n",
        "  tweet2 = re.sub(r'^RT[\\s]+', '', tweet)\n",
        "  tweet2 = re.sub(r'https?:\\/\\/.*[\\r\\n]*', '', tweet2)\n",
        "\n",
        "  tweet2 = re.sub(r'#', '', tweet2)\n",
        "  tokenizer=TweetTokenizer(preserve_case=False,strip_handles=True,reduce_len=True)\n",
        "  tweet_token=tokenizer.tokenize(tweet2)\n",
        "\n",
        "  tweets_clean = []\n",
        "  stopwords_english = stopwords.words('english') \n",
        "\n",
        "  for word in tweet_token: \n",
        "    if (word not in stopwords_english and word not in string.punctuation):  # remove punctuation\n",
        "      tweets_clean.append(word)\n",
        "  stemmer = PorterStemmer() \n",
        "  tweets_stem = [] \n",
        "  for word in tweets_clean:\n",
        "    stem_word=stemmer.stem(word)\n",
        "    tweets_stem.append(stem_word)\n",
        "\n",
        "\n",
        "  return tweets_stem"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XU1iWIexEUQi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "8127c920-fd21-40a3-d6e1-bfe04381af49"
      },
      "source": [
        "# print(process_tweets(train_x[400]))\n",
        "# print(train_x[400])\n",
        "# print(process_tweets('My beautiful sunflowers on a sunny Friday morning off :) sunflowers favourites happy Friday off…'))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['old', 'pic', ':)']\n",
            "@ernezpjy its old pic :)\n",
            "['beauti', 'sunflow', 'sunni', 'friday', 'morn', ':)', 'sunflow', 'favourit', 'happi', 'friday', '…']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MH0h_RuZsswJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def lookup(freqs,word,label):\n",
        "  \"\"\" A helper function that returns the frequency of a word in the dictionary that contains label\"\"\"\n",
        "  \n",
        "\n",
        "  tup=tuple((str(word),label))\n",
        "  if tup in freqs.keys():\n",
        "    return freqs[tup]\n",
        "  else:\n",
        "    return 0\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t8g1_WSvT60D",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-cqkGwv-QciN",
        "colab_type": "text"
      },
      "source": [
        "Preprocessing Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZM9auV_NQP-i",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def count_tweets(tweets, labels):\n",
        "    '''\n",
        "    \n",
        "        @param tweets: a list of tweets\n",
        "        @param ys: a list corresponding to the sentiment of each tweet (either 0 or 1)\n",
        "    Output:\n",
        "        result: a dictionary mapping each pair to its frequency\n",
        "    '''\n",
        "\n",
        "    result={}\n",
        "    for y, tweet in zip(labels, tweets):\n",
        "        for word in process_tweets(tweet):\n",
        "            pair = tuple((word,y))\n",
        "            if pair in result:\n",
        "                result[pair] += 1\n",
        "            else:\n",
        "                result[pair] = 1\n",
        "\n",
        "\n",
        "    return result"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eiVX34xjo5d8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "47bbafe4-4174-482c-e004-20918d123cc1"
      },
      "source": [
        "\n",
        "tweets = ['i am happy', 'i am tricked', 'i am sad', 'i am tired', 'i am tired']\n",
        "labels = [1, 0, 0, 0, 0]\n",
        "count_tweets(tweets, labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{('happi', 1): 1, ('sad', 0): 1, ('tire', 0): 2, ('trick', 0): 1}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2_rigjACplqc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "e4e801a4-5fb2-4da9-a75d-5a90f45353ec"
      },
      "source": [
        "\n",
        "\n",
        "freqs = count_tweets(train_x, train_y)\n",
        "print(lookup(freqs,'week',1.0))\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "72\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uWFxTJkxptfM",
        "colab_type": "text"
      },
      "source": [
        "TRAINING THE NAIVE BAYES CLASSIFIER"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kOvlLs0DpqJT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "def train_naive_bayes(freqs, train_x, train_y):\n",
        "    '''\n",
        "        @param freqs: dictionary from (word, label) to how often the word appears\n",
        "        @param train_x: a list of tweets\n",
        "        @param train_y: a list of labels correponding to the tweets (0,1)\n",
        "    Output:\n",
        "        logprior: the log prior\n",
        "        loglikelihood: the log likelihood of you Naive bayes equation\n",
        "    '''\n",
        "    loglikelihood = {}\n",
        "    logprior = 0\n",
        "    vocab = set([pair[0] for pair in freqs.keys()])\n",
        "    V = len(vocab)\n",
        "    N_pos = N_neg = 0\n",
        "    for pair in freqs.keys():\n",
        "        if pair[1] > 0:\n",
        "            N_pos += freqs[pair]\n",
        "        else:\n",
        "            N_neg += freqs[pair]\n",
        "\n",
        "    D = len(train_y)\n",
        "    D_pos = sum(np.array(train_y))\n",
        "    D_neg = D-D_pos\n",
        "\n",
        "\n",
        "    logprior = np.log(D_pos)-np.log(D_neg)\n",
        "\n",
        "    for word in vocab:\n",
        "        freq_pos = lookup(freqs,word,1.0)\n",
        "        freq_neg = lookup(freqs,word,0.0)\n",
        "        p_w_pos = (freq_pos+1)/(N_pos+V)\n",
        "        p_w_neg = (freq_neg+1)/(N_neg+V)\n",
        "        loglikelihood[word] = np.log(p_w_pos/p_w_neg)\n",
        "      \n",
        "    \n",
        "    return logprior, loglikelihood\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VkTxgdKe_QAN",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_RgqLtiIpzUr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "7f25cf98-4399-4c3a-f6e9-e30ba4dccf50"
      },
      "source": [
        "\n",
        "logprior, loglikelihood = train_naive_bayes(freqs, train_x, train_y)\n",
        "print(logprior)\n",
        "print(len(loglikelihood))\n",
        "\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.0\n",
            "9088\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i46cvxHPp2lh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "def naive_bayes_predict(tweet, logprior, loglikelihood):\n",
        "    '''\n",
        "    Input:\n",
        "        @param tweet: a string\n",
        "        @param logprior: a number\n",
        "        @param loglikelihood: a dictionary of words mapping to numbers\n",
        "    Output:\n",
        "        p: the sum of all the loglikliho ods of each word in the tweet (if found in the dictionary) + logprior (a number)\n",
        "\n",
        "    '''\n",
        "    word_l = process_tweets(tweet)\n",
        "    p = 0\n",
        "    p += logprior\n",
        "\n",
        "    for word in word_l:\n",
        "        if word in loglikelihood:\n",
        "            p += loglikelihood[word]\n",
        "\n",
        "    return p\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8F7UuJyZqDZ6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "def test_naive_bayes(test_x, test_y, logprior, loglikelihood):\n",
        "    \"\"\"\n",
        "    Returns the accuracy of the tweets after testing\n",
        "    \"\"\"\n",
        "    accuracy = 0  \n",
        "    y_hats = []\n",
        "    for tweet in test_x:\n",
        "        if naive_bayes_predict(tweet, logprior, loglikelihood) > 0:\n",
        "            y_hat_i = 1\n",
        "        else:\n",
        "            y_hat_i = 0\n",
        "        y_hats.append(y_hat_i)\n",
        "\n",
        "    # error is the average of the absolute values of the differences between y_hats and test_y\n",
        "    error = np.average(abs(y_hats-test_y))\n",
        "\n",
        "    # Accuracy is 1 minus the error\n",
        "    accuracy = 1-error\n",
        "    return accuracy\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ltkbi77Z_KU1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "e7077894-93c0-477b-e963-3216d5305225"
      },
      "source": [
        "print(test_naive_bayes(test_x,test_y,logprior,loglikelihood))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.994\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DbEFwcK7qEpt",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "outputId": "31291d63-4831-456b-a8d7-deb249928b70"
      },
      "source": [
        "\n",
        "for tweet in ['I am happy', 'I am bad', 'this movie should have been great.', 'great', 'great great', 'great great great', 'great great great great']:\n",
        "    # print( '%s -> %f' % (tweet, naive_bayes_predict(tweet, logprior, loglikelihood)))\n",
        "    p = naive_bayes_predict(tweet, logprior, loglikelihood)\n",
        "#     print(f'{tweet} -> {p:.2f} ({p_category})')\n",
        "    print(f'{tweet} -> {p:.2f}')\n",
        "my_tweet = 'I smiled.'\n",
        "my_twee2t = 'I  am excited.'\n",
        "p = naive_bayes_predict(my_twee2t, logprior, loglikelihood)\n",
        "print('The expected output :',my_twee2t, p)\n",
        "my_tweet3 = 'you are bad :('\n",
        "p2 = naive_bayes_predict(my_tweet3, logprior, loglikelihood)\n",
        "print('The expected output :',my_tweet3, p2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "I am happy -> 2.15\n",
            "I am bad -> -1.29\n",
            "this movie should have been great. -> 2.14\n",
            "great -> 2.14\n",
            "great great -> 4.28\n",
            "great great great -> 6.41\n",
            "great great great great -> 8.55\n",
            "The expected output : I  am excited. 1.7634359197769378\n",
            "The expected output : you are bad :( -8.801290524915208\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iEMb1l2esPcq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "def get_ratio(freqs, word):\n",
        " \n",
        "    ''' Returns Ratio of positive to Negative counts for a word'''\n",
        "    \n",
        "    pos_neg_ratio = {'positive': 0, 'negative': 0, 'ratio': 0.0}\n",
        "    pos_neg_ratio['positive'] = lookup(freqs,word,1)\n",
        "    pos_neg_ratio['negative'] = lookup(freqs,word,0)\n",
        "    pos_neg_ratio['ratio'] = ( pos_neg_ratio['positive']+1)/(pos_neg_ratio['negative']+1)\n",
        "\n",
        "    return pos_neg_ratio\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l-DpPb0wsSU1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "0f262b59-c4ab-4c8a-9473-90dca846249c"
      },
      "source": [
        "p=get_ratio(freqs, 'happi')\n",
        "part1=p['negative']\n",
        "part2=p['positive']\n",
        "print(p)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'positive': 161, 'negative': 18, 'ratio': 8.526315789473685}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1r-jJ72bmSWV",
        "colab_type": "text"
      },
      "source": [
        "Finding the Positive vs Negative frequency of the word Happy"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GtGp0HUSkzkU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "outputId": "06f8483f-5db0-40ed-af9b-5dc572169104"
      },
      "source": [
        "\n",
        "fig = plt.figure(figsize=(5, 5))\n",
        "labels = 'Positives', 'Negative'\n",
        "sizes = [part2, part1] \n",
        "plt.pie(sizes, labels=labels, autopct='%1.1f%%',\n",
        "        shadow=True, startangle=90)\n",
        "plt.axis('equal')  \n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D7A0Gxv1sVFA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "def get_words_by_threshold(freqs, label, threshold):\n",
        "    '''\n",
        "        Returns:\n",
        "        word_set: dictionary containing the word and information on its positive count, negative count, and ratio of positive to negative counts.\n",
        "        example of a key value pair:\n",
        "        {'happi':\n",
        "            {'positive': 10, 'negative': 20, 'ratio': 0.5}\n",
        "        }\n",
        "    '''\n",
        "    word_list = {}\n",
        "    for key in freqs.keys():\n",
        "        word, _ = key\n",
        "        pos_neg_ratio = lookup(freqs,word,label)\n",
        "        if label == 1 and pos_neg_ratio>threshold:\n",
        "            word_list[word]=get_ratio(freqs,word)\n",
        "        elif label == 0 and pos_neg_ratio<=threshold:\n",
        "            word_list[word]=get_ratio(freqs,word)\n",
        "\n",
        "\n",
        "    return word_list\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YjzQjLKEsazG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "e6f14bb6-6185-4b21-975c-5026cd2e6d78"
      },
      "source": [
        "# Test your function: find negative words at or below a threshold\n",
        "get_words_by_threshold(freqs, label=0, threshold=0.05)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'followfriday': {'negative': 0, 'positive': 23, 'ratio': 24.0},\n",
              " 'engag': {'negative': 0, 'positive': 7, 'ratio': 8.0},\n",
              " '02392441234': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'assist': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'yeaaah': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'yipppi': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'accnt': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'verifi': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'rqst': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'succeed': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'tick': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'irresist': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'flipkartfashionfriday': {'negative': 0, 'positive': 16, 'ratio': 17.0},\n",
              " 'lwwf': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'bayan': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " ':D': {'negative': 0, 'positive': 498, 'ratio': 499.0},\n",
              " 'mischiev': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'etl': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'layer': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'in-hous': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'wareh': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'katamari': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'impli': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " ':p': {'negative': 0, 'positive': 103, 'ratio': 104.0},\n",
              " 'influenc': {'negative': 0, 'positive': 16, 'ratio': 17.0},\n",
              " 'juici': {'negative': 0, 'positive': 3, 'ratio': 4.0},\n",
              " 'junior': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'triathlet': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'gatorad': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'print': {'negative': 0, 'positive': 3, 'ratio': 4.0},\n",
              " ':-)': {'negative': 0, 'positive': 543, 'ratio': 544.0},\n",
              " \"friend'\": {'negative': 0, 'positive': 3, 'ratio': 4.0},\n",
              " 'yummm': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'nostalgia': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'tb': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'ku': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'conflict': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " \"here'\": {'negative': 0, 'positive': 20, 'ratio': 21.0},\n",
              " 'liv': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'fm': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'dope': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'penthous': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'obv': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'gobigorgohom': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'youth': {'negative': 0, 'positive': 14, 'ratio': 15.0},\n",
              " '💅': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'spiritu': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'ritual': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'népal': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'line-up': {'negative': 0, 'positive': 4, 'ratio': 5.0},\n",
              " 'sarah': {'negative': 0, 'positive': 4, 'ratio': 5.0},\n",
              " 'bitsy@bitdefender.com': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'hatessuc': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " '32429': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'cumshot': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'nsn_supplement': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'press': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'distribut': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'pressreleas': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'newsdistribut': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'bam': {'negative': 0, 'positive': 44, 'ratio': 45.0},\n",
              " 'warsaw': {'negative': 0, 'positive': 44, 'ratio': 45.0},\n",
              " 'x46': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'documentari': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'earthl': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'letsgetmessi': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'jo': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'soundtrack': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'shout': {'negative': 0, 'positive': 11, 'ratio': 12.0},\n",
              " 'gameplay': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " ';)': {'negative': 0, 'positive': 22, 'ratio': 23.0},\n",
              " 'etsi': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'recharg': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'speech': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'canal': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'dasvidaniya': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'scout': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'wlan': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'pro': {'negative': 0, 'positive': 4, 'ratio': 5.0},\n",
              " 'lollipop': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " '🍭': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'nez': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'agnezmo': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'oley': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'stronger': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'misti': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'woohoo': {'negative': 0, 'positive': 3, 'ratio': 4.0},\n",
              " 'mka': {'negative': 0, 'positive': 5, 'ratio': 6.0},\n",
              " 'stat': {'negative': 0, 'positive': 51, 'ratio': 52.0},\n",
              " 'happybirthdayemilybett': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'timezon': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
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              " 'palac': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'plusmil': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'servic': {'negative': 0, 'positive': 5, 'ratio': 6.0},\n",
              " 'hahahaa': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'nex': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'gwd': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'okok': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " '33': {'negative': 0, 'positive': 2, 'ratio': 3.0},\n",
              " 'idiot': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'chaerin': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'viabl': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'altern': {'negative': 0, 'positive': 3, 'ratio': 4.0},\n",
              " 'nowaday': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'tombow': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'friyay': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'smug': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'marrickvil': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'ten': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'eighteen': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'auvssscr': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'ncaaseason': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " 'popsicl': {'negative': 0, 'positive': 1, 'ratio': 2.0},\n",
              " ...}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 123
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NNJ-unU-seJG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "0c263954-7ebd-464b-8272-6964708adca0"
      },
      "source": [
        "# Test your function; find positive words at or above a threshold\n",
        "get_words_by_threshold(freqs, label=1, threshold=10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'..': {'negative': 89, 'positive': 100, 'ratio': 1.1222222222222222},\n",
              " '...': {'negative': 282, 'positive': 227, 'ratio': 0.8056537102473498},\n",
              " '1': {'negative': 19, 'positive': 60, 'ratio': 3.05},\n",
              " '10': {'negative': 7, 'positive': 15, 'ratio': 2.0},\n",
              " '2': {'negative': 35, 'positive': 41, 'ratio': 1.1666666666666667},\n",
              " '2015': {'negative': 11, 'positive': 13, 'ratio': 1.1666666666666667},\n",
              " '3': {'negative': 31, 'positive': 26, 'ratio': 0.84375},\n",
              " '4': {'negative': 16, 'positive': 21, 'ratio': 1.2941176470588236},\n",
              " '5': {'negative': 11, 'positive': 15, 'ratio': 1.3333333333333333},\n",
              " '6': {'negative': 10, 'positive': 17, 'ratio': 1.6363636363636365},\n",
              " ':)': {'negative': 2, 'positive': 2847, 'ratio': 949.3333333333334},\n",
              " ':-)': {'negative': 0, 'positive': 543, 'ratio': 544.0},\n",
              " ':D': {'negative': 0, 'positive': 498, 'ratio': 499.0},\n",
              " ':p': {'negative': 0, 'positive': 103, 'ratio': 104.0},\n",
              " ';)': {'negative': 0, 'positive': 22, 'ratio': 23.0},\n",
              " '<3': {'negative': 19, 'positive': 118, 'ratio': 5.95},\n",
              " 'account': {'negative': 17, 'positive': 17, 'ratio': 1.0},\n",
              " 'actual': {'negative': 20, 'positive': 13, 'ratio': 0.6666666666666666},\n",
              " 'add': {'negative': 20, 'positive': 19, 'ratio': 0.9523809523809523},\n",
              " 'agre': {'negative': 4, 'positive': 13, 'ratio': 2.8},\n",
              " 'ah': {'negative': 15, 'positive': 12, 'ratio': 0.8125},\n",
              " 'alreadi': {'negative': 41, 'positive': 19, 'ratio': 0.47619047619047616},\n",
              " 'also': {'negative': 17, 'positive': 28, 'ratio': 1.6111111111111112},\n",
              " 'alway': {'negative': 48, 'positive': 48, 'ratio': 1.0},\n",
              " 'amaz': {'negative': 12, 'positive': 41, 'ratio': 3.230769230769231},\n",
              " 'anoth': {'negative': 17, 'positive': 16, 'ratio': 0.9444444444444444},\n",
              " 'anyth': {'negative': 16, 'positive': 18, 'ratio': 1.1176470588235294},\n",
              " 'anyway': {'negative': 10, 'positive': 14, 'ratio': 1.3636363636363635},\n",
              " 'app': {'negative': 12, 'positive': 12, 'ratio': 1.0},\n",
              " 'appreci': {'negative': 2, 'positive': 28, 'ratio': 9.666666666666666},\n",
              " 'around': {'negative': 17, 'positive': 14, 'ratio': 0.8333333333333334},\n",
              " 'arriv': {'negative': 4, 'positive': 57, 'ratio': 11.6},\n",
              " 'ask': {'negative': 22, 'positive': 26, 'ratio': 1.173913043478261},\n",
              " 'away': {'negative': 22, 'positive': 11, 'ratio': 0.5217391304347826},\n",
              " 'awesom': {'negative': 5, 'positive': 35, 'ratio': 6.0},\n",
              " 'awww': {'negative': 19, 'positive': 12, 'ratio': 0.65},\n",
              " 'babi': {'negative': 37, 'positive': 17, 'ratio': 0.47368421052631576},\n",
              " 'back': {'negative': 98, 'positive': 74, 'ratio': 0.7575757575757576},\n",
              " 'bad': {'negative': 54, 'positive': 14, 'ratio': 0.2727272727272727},\n",
              " 'bam': {'negative': 0, 'positive': 44, 'ratio': 45.0},\n",
              " 'beauti': {'negative': 10, 'positive': 45, 'ratio': 4.181818181818182},\n",
              " 'best': {'negative': 16, 'positive': 49, 'ratio': 2.9411764705882355},\n",
              " 'bestfriend': {'negative': 6, 'positive': 50, 'ratio': 7.285714285714286},\n",
              " 'better': {'negative': 31, 'positive': 40, 'ratio': 1.28125},\n",
              " 'big': {'negative': 17, 'positive': 27, 'ratio': 1.5555555555555556},\n",
              " 'birthday': {'negative': 16, 'positive': 53, 'ratio': 3.176470588235294},\n",
              " 'bit': {'negative': 12, 'positive': 16, 'ratio': 1.3076923076923077},\n",
              " 'blog': {'negative': 0, 'positive': 27, 'ratio': 28.0},\n",
              " 'bodi': {'negative': 11, 'positive': 12, 'ratio': 1.0833333333333333},\n",
              " 'book': {'negative': 16, 'positive': 14, 'ratio': 0.8823529411764706},\n",
              " 'boy': {'negative': 10, 'positive': 13, 'ratio': 1.2727272727272727},\n",
              " 'bring': {'negative': 8, 'positive': 12, 'ratio': 1.4444444444444444},\n",
              " 'bro': {'negative': 3, 'positive': 19, 'ratio': 5.0},\n",
              " 'busi': {'negative': 21, 'positive': 15, 'ratio': 0.7272727272727273},\n",
              " 'call': {'negative': 22, 'positive': 27, 'ratio': 1.2173913043478262},\n",
              " \"can't\": {'negative': 148, 'positive': 31, 'ratio': 0.21476510067114093},\n",
              " 'cant': {'negative': 41, 'positive': 13, 'ratio': 0.3333333333333333},\n",
              " 'care': {'negative': 13, 'positive': 12, 'ratio': 0.9285714285714286},\n",
              " 'caus': {'negative': 10, 'positive': 11, 'ratio': 1.0909090909090908},\n",
              " 'chang': {'negative': 23, 'positive': 20, 'ratio': 0.875},\n",
              " 'check': {'negative': 16, 'positive': 38, 'ratio': 2.2941176470588234},\n",
              " 'cheer': {'negative': 3, 'positive': 17, 'ratio': 4.5},\n",
              " 'citi': {'negative': 11, 'positive': 26, 'ratio': 2.25},\n",
              " 'close': {'negative': 16, 'positive': 12, 'ratio': 0.7647058823529411},\n",
              " 'come': {'negative': 72, 'positive': 63, 'ratio': 0.8767123287671232},\n",
              " 'commun': {'negative': 1, 'positive': 27, 'ratio': 14.0},\n",
              " 'concert': {'negative': 9, 'positive': 23, 'ratio': 2.4},\n",
              " 'congrat': {'negative': 2, 'positive': 15, 'ratio': 5.333333333333333},\n",
              " 'connect': {'negative': 2, 'positive': 13, 'ratio': 4.666666666666667},\n",
              " 'cool': {'negative': 4, 'positive': 29, 'ratio': 6.0},\n",
              " 'could': {'negative': 51, 'positive': 25, 'ratio': 0.5},\n",
              " 'countri': {'negative': 5, 'positive': 22, 'ratio': 3.8333333333333335},\n",
              " 'cours': {'negative': 7, 'positive': 11, 'ratio': 1.5},\n",
              " 'cute': {'negative': 37, 'positive': 21, 'ratio': 0.5789473684210527},\n",
              " 'day': {'negative': 114, 'positive': 187, 'ratio': 1.6347826086956523},\n",
              " 'dear': {'negative': 11, 'positive': 15, 'ratio': 1.3333333333333333},\n",
              " 'definit': {'negative': 2, 'positive': 20, 'ratio': 7.0},\n",
              " 'design': {'negative': 3, 'positive': 18, 'ratio': 4.75},\n",
              " 'dm': {'negative': 20, 'positive': 34, 'ratio': 1.6666666666666667},\n",
              " 'done': {'negative': 18, 'positive': 40, 'ratio': 2.1578947368421053},\n",
              " 'dont': {'negative': 39, 'positive': 11, 'ratio': 0.3},\n",
              " 'dream': {'negative': 17, 'positive': 17, 'ratio': 1.0},\n",
              " 'email': {'negative': 10, 'positive': 22, 'ratio': 2.090909090909091},\n",
              " 'end': {'negative': 36, 'positive': 13, 'ratio': 0.3783783783783784},\n",
              " 'enjoy': {'negative': 7, 'positive': 57, 'ratio': 7.25},\n",
              " 'enough': {'negative': 18, 'positive': 16, 'ratio': 0.8947368421052632},\n",
              " 'even': {'negative': 52, 'positive': 26, 'ratio': 0.5094339622641509},\n",
              " 'ever': {'negative': 25, 'positive': 19, 'ratio': 0.7692307692307693},\n",
              " 'everi': {'negative': 11, 'positive': 23, 'ratio': 2.0},\n",
              " 'everyon': {'negative': 18, 'positive': 45, 'ratio': 2.4210526315789473},\n",
              " 'excit': {'negative': 4, 'positive': 28, 'ratio': 5.8},\n",
              " 'eye': {'negative': 11, 'positive': 12, 'ratio': 1.0833333333333333},\n",
              " 'famili': {'negative': 9, 'positive': 14, 'ratio': 1.5},\n",
              " 'fan': {'negative': 17, 'positive': 21, 'ratio': 1.2222222222222223},\n",
              " 'far': {'negative': 16, 'positive': 14, 'ratio': 0.8823529411764706},\n",
              " 'fav': {'negative': 0, 'positive': 11, 'ratio': 12.0},\n",
              " 'fback': {'negative': 0, 'positive': 26, 'ratio': 27.0},\n",
              " 'feel': {'negative': 131, 'positive': 33, 'ratio': 0.25757575757575757},\n",
              " 'ff': {'negative': 4, 'positive': 40, 'ratio': 8.2},\n",
              " 'final': {'negative': 32, 'positive': 24, 'ratio': 0.7575757575757576},\n",
              " 'find': {'negative': 45, 'positive': 20, 'ratio': 0.45652173913043476},\n",
              " 'finish': {'negative': 10, 'positive': 15, 'ratio': 1.4545454545454546},\n",
              " 'first': {'negative': 22, 'positive': 41, 'ratio': 1.826086956521739},\n",
              " 'flipkartfashionfriday': {'negative': 0, 'positive': 16, 'ratio': 17.0},\n",
              " 'follback': {'negative': 1, 'positive': 18, 'ratio': 9.5},\n",
              " 'follow': {'negative': 245, 'positive': 319, 'ratio': 1.3008130081300813},\n",
              " 'followfriday': {'negative': 0, 'positive': 23, 'ratio': 24.0},\n",
              " 'forget': {'negative': 5, 'positive': 16, 'ratio': 2.8333333333333335},\n",
              " 'forward': {'negative': 5, 'positive': 20, 'ratio': 3.5},\n",
              " 'found': {'negative': 10, 'positive': 11, 'ratio': 1.0909090909090908},\n",
              " 'free': {'negative': 14, 'positive': 31, 'ratio': 2.1333333333333333},\n",
              " 'friday': {'negative': 9, 'positive': 91, 'ratio': 9.2},\n",
              " 'friend': {'negative': 30, 'positive': 40, 'ratio': 1.3225806451612903},\n",
              " 'fuck': {'negative': 47, 'positive': 20, 'ratio': 0.4375},\n",
              " 'full': {'negative': 11, 'positive': 17, 'ratio': 1.5},\n",
              " 'fun': {'negative': 20, 'positive': 45, 'ratio': 2.1904761904761907},\n",
              " 'funni': {'negative': 4, 'positive': 15, 'ratio': 3.2},\n",
              " 'game': {'negative': 25, 'positive': 23, 'ratio': 0.9230769230769231},\n",
              " 'get': {'negative': 181, 'positive': 164, 'ratio': 0.9065934065934066},\n",
              " 'girl': {'negative': 17, 'positive': 34, 'ratio': 1.9444444444444444},\n",
              " 'give': {'negative': 27, 'positive': 42, 'ratio': 1.5357142857142858},\n",
              " 'glad': {'negative': 2, 'positive': 41, 'ratio': 14.0},\n",
              " 'go': {'negative': 181, 'positive': 120, 'ratio': 0.6648351648351648},\n",
              " 'god': {'negative': 13, 'positive': 14, 'ratio': 1.0714285714285714},\n",
              " 'gonna': {'negative': 44, 'positive': 16, 'ratio': 0.37777777777777777},\n",
              " 'good': {'negative': 83, 'positive': 191, 'ratio': 2.2857142857142856},\n",
              " 'goodnight': {'negative': 1, 'positive': 18, 'ratio': 9.5},\n",
              " 'got': {'negative': 90, 'positive': 57, 'ratio': 0.6373626373626373},\n",
              " 'great': {'negative': 15, 'positive': 134, 'ratio': 8.4375},\n",
              " 'guy': {'negative': 45, 'positive': 48, 'ratio': 1.065217391304348},\n",
              " 'ha': {'negative': 6, 'positive': 18, 'ratio': 2.7142857142857144},\n",
              " 'haha': {'negative': 24, 'positive': 44, 'ratio': 1.8},\n",
              " 'hahaha': {'negative': 11, 'positive': 11, 'ratio': 1.0},\n",
              " 'happen': {'negative': 43, 'positive': 13, 'ratio': 0.3181818181818182},\n",
              " 'happi': {'negative': 18, 'positive': 161, 'ratio': 8.526315789473685},\n",
              " 'head': {'negative': 18, 'positive': 12, 'ratio': 0.6842105263157895},\n",
              " 'hear': {'negative': 26, 'positive': 24, 'ratio': 0.9259259259259259},\n",
              " 'hello': {'negative': 8, 'positive': 49, 'ratio': 5.555555555555555},\n",
              " 'help': {'negative': 44, 'positive': 37, 'ratio': 0.8444444444444444},\n",
              " \"here'\": {'negative': 0, 'positive': 20, 'ratio': 21.0},\n",
              " 'hey': {'negative': 20, 'positive': 60, 'ratio': 2.9047619047619047},\n",
              " 'hi': {'negative': 28, 'positive': 154, 'ratio': 5.344827586206897},\n",
              " 'hit': {'negative': 3, 'positive': 11, 'ratio': 3.0},\n",
              " 'home': {'negative': 52, 'positive': 20, 'ratio': 0.39622641509433965},\n",
              " 'hope': {'negative': 91, 'positive': 113, 'ratio': 1.2391304347826086},\n",
              " 'hot': {'negative': 9, 'positive': 20, 'ratio': 2.1},\n",
              " 'hour': {'negative': 26, 'positive': 24, 'ratio': 0.9259259259259259},\n",
              " 'hug': {'negative': 21, 'positive': 11, 'ratio': 0.5454545454545454},\n",
              " \"i'd\": {'negative': 10, 'positive': 13, 'ratio': 1.2727272727272727},\n",
              " \"i'll\": {'negative': 36, 'positive': 73, 'ratio': 2.0},\n",
              " \"i'm\": {'negative': 266, 'positive': 140, 'ratio': 0.5280898876404494},\n",
              " \"i'v\": {'negative': 64, 'positive': 25, 'ratio': 0.4},\n",
              " 'idea': {'negative': 8, 'positive': 23, 'ratio': 2.6666666666666665},\n",
              " 'im': {'negative': 108, 'positive': 38, 'ratio': 0.3577981651376147},\n",
              " 'influenc': {'negative': 0, 'positive': 16, 'ratio': 17.0},\n",
              " 'interest': {'negative': 5, 'positive': 16, 'ratio': 2.8333333333333335},\n",
              " 'invit': {'negative': 1, 'positive': 15, 'ratio': 8.0},\n",
              " 'job': {'negative': 8, 'positive': 34, 'ratio': 3.888888888888889},\n",
              " 'join': {'negative': 4, 'positive': 21, 'ratio': 4.4},\n",
              " 'juli': {'negative': 12, 'positive': 11, 'ratio': 0.9230769230769231},\n",
              " 'keep': {'negative': 31, 'positive': 55, 'ratio': 1.75},\n",
              " 'kid': {'negative': 16, 'positive': 13, 'ratio': 0.8235294117647058},\n",
              " 'kik': {'negative': 55, 'positive': 16, 'ratio': 0.30357142857142855},\n",
              " 'kind': {'negative': 9, 'positive': 22, 'ratio': 2.3},\n",
              " 'kinda': {'negative': 9, 'positive': 12, 'ratio': 1.3},\n",
              " 'know': {'negative': 110, 'positive': 120, 'ratio': 1.09009009009009},\n",
              " 'last': {'negative': 51, 'positive': 39, 'ratio': 0.7692307692307693},\n",
              " 'late': {'negative': 24, 'positive': 12, 'ratio': 0.52},\n",
              " 'later': {'negative': 10, 'positive': 11, 'ratio': 1.0909090909090908},\n",
              " 'least': {'negative': 13, 'positive': 14, 'ratio': 1.0714285714285714},\n",
              " 'leav': {'negative': 31, 'positive': 11, 'ratio': 0.375},\n",
              " 'let': {'negative': 31, 'positive': 57, 'ratio': 1.8125},\n",
              " \"let'\": {'negative': 2, 'positive': 18, 'ratio': 6.333333333333333},\n",
              " 'life': {'negative': 29, 'positive': 36, 'ratio': 1.2333333333333334},\n",
              " 'like': {'negative': 182, 'positive': 187, 'ratio': 1.0273224043715847},\n",
              " 'link': {'negative': 9, 'positive': 13, 'ratio': 1.4},\n",
              " 'listen': {'negative': 14, 'positive': 14, 'ratio': 1.0},\n",
              " 'littl': {'negative': 17, 'positive': 29, 'ratio': 1.6666666666666667},\n",
              " 'live': {'negative': 33, 'positive': 21, 'ratio': 0.6470588235294118},\n",
              " 'lol': {'negative': 31, 'positive': 48, 'ratio': 1.53125},\n",
              " 'long': {'negative': 33, 'positive': 27, 'ratio': 0.8235294117647058},\n",
              " 'look': {'negative': 79, 'positive': 109, 'ratio': 1.375},\n",
              " 'lot': {'negative': 18, 'positive': 80, 'ratio': 4.2631578947368425},\n",
              " 'love': {'negative': 128, 'positive': 336, 'ratio': 2.612403100775194},\n",
              " 'luck': {'negative': 5, 'positive': 26, 'ratio': 4.5},\n",
              " 'made': {'negative': 21, 'positive': 38, 'ratio': 1.7727272727272727},\n",
              " 'make': {'negative': 90, 'positive': 69, 'ratio': 0.7692307692307693},\n",
              " 'man': {'negative': 24, 'positive': 16, 'ratio': 0.68},\n",
              " 'mani': {'negative': 24, 'positive': 28, 'ratio': 1.16},\n",
              " 'may': {'negative': 15, 'positive': 16, 'ratio': 1.0625},\n",
              " 'mayb': {'negative': 19, 'positive': 17, 'ratio': 0.9},\n",
              " 'mean': {'negative': 39, 'positive': 19, 'ratio': 0.5},\n",
              " 'meet': {'negative': 22, 'positive': 26, 'ratio': 1.173913043478261},\n",
              " 'member': {'negative': 6, 'positive': 14, 'ratio': 2.142857142857143},\n",
              " 'mention': {'negative': 6, 'positive': 18, 'ratio': 2.7142857142857144},\n",
              " 'might': {'negative': 10, 'positive': 21, 'ratio': 2.0},\n",
              " 'mind': {'negative': 4, 'positive': 13, 'ratio': 2.8},\n",
              " 'mine': {'negative': 10, 'positive': 11, 'ratio': 1.0909090909090908},\n",
              " 'miss': {'negative': 239, 'positive': 17, 'ratio': 0.075},\n",
              " 'month': {'negative': 18, 'positive': 11, 'ratio': 0.631578947368421},\n",
              " 'morn': {'negative': 23, 'positive': 68, 'ratio': 2.875},\n",
              " 'movi': {'negative': 17, 'positive': 17, 'ratio': 1.0},\n",
              " 'much': {'negative': 116, 'positive': 73, 'ratio': 0.6324786324786325},\n",
              " 'music': {'negative': 12, 'positive': 15, 'ratio': 1.2307692307692308},\n",
              " 'must': {'negative': 12, 'positive': 14, 'ratio': 1.1538461538461537},\n",
              " 'n': {'negative': 17, 'positive': 13, 'ratio': 0.7777777777777778},\n",
              " 'name': {'negative': 13, 'positive': 12, 'ratio': 0.9285714285714286},\n",
              " 'need': {'negative': 86, 'positive': 62, 'ratio': 0.7241379310344828},\n",
              " 'never': {'negative': 42, 'positive': 31, 'ratio': 0.7441860465116279},\n",
              " 'new': {'negative': 43, 'positive': 111, 'ratio': 2.5454545454545454},\n",
              " 'news': {'negative': 18, 'positive': 16, 'ratio': 0.8947368421052632},\n",
              " 'next': {'negative': 31, 'positive': 37, 'ratio': 1.1875},\n",
              " 'nice': {'negative': 17, 'positive': 70, 'ratio': 3.9444444444444446},\n",
              " 'night': {'negative': 33, 'positive': 55, 'ratio': 1.6470588235294117},\n",
              " 'noth': {'negative': 19, 'positive': 13, 'ratio': 0.7},\n",
              " 'number': {'negative': 5, 'positive': 11, 'ratio': 2.0},\n",
              " 'oh': {'negative': 78, 'positive': 44, 'ratio': 0.569620253164557},\n",
              " 'ok': {'negative': 25, 'positive': 29, 'ratio': 1.1538461538461537},\n",
              " 'okay': {'negative': 29, 'positive': 31, 'ratio': 1.0666666666666667},\n",
              " 'old': {'negative': 12, 'positive': 12, 'ratio': 1.0},\n",
              " 'omg': {'negative': 48, 'positive': 13, 'ratio': 0.2857142857142857},\n",
              " 'one': {'negative': 117, 'positive': 90, 'ratio': 0.7711864406779662},\n",
              " 'open': {'negative': 12, 'positive': 12, 'ratio': 1.0},\n",
              " 'opportun': {'negative': 1, 'positive': 17, 'ratio': 9.0},\n",
              " 'order': {'negative': 14, 'positive': 12, 'ratio': 0.8666666666666667},\n",
              " 'part': {'negative': 10, 'positive': 13, 'ratio': 1.2727272727272727},\n",
              " 'peopl': {'negative': 57, 'positive': 42, 'ratio': 0.7413793103448276},\n",
              " 'perfect': {'negative': 2, 'positive': 17, 'ratio': 6.0},\n",
              " 'person': {'negative': 14, 'positive': 14, 'ratio': 1.0},\n",
              " 'phone': {'negative': 26, 'positive': 16, 'ratio': 0.6296296296296297},\n",
              " 'photo': {'negative': 11, 'positive': 16, 'ratio': 1.4166666666666667},\n",
              " 'pic': {'negative': 14, 'positive': 21, 'ratio': 1.4666666666666666},\n",
              " 'pick': {'negative': 10, 'positive': 11, 'ratio': 1.0909090909090908},\n",
              " 'place': {'negative': 12, 'positive': 19, 'ratio': 1.5384615384615385},\n",
              " 'plan': {'negative': 13, 'positive': 21, 'ratio': 1.5714285714285714},\n",
              " 'play': {'negative': 39, 'positive': 37, 'ratio': 0.95},\n",
              " 'pleas': {'negative': 243, 'positive': 80, 'ratio': 0.3319672131147541},\n",
              " 'point': {'negative': 9, 'positive': 11, 'ratio': 1.2},\n",
              " 'post': {'negative': 9, 'positive': 16, 'ratio': 1.7},\n",
              " 'pretti': {'negative': 12, 'positive': 17, 'ratio': 1.3846153846153846},\n",
              " 'problem': {'negative': 6, 'positive': 17, 'ratio': 2.5714285714285716},\n",
              " 'product': {'negative': 3, 'positive': 11, 'ratio': 3.0},\n",
              " 'proud': {'negative': 8, 'positive': 11, 'ratio': 1.3333333333333333},\n",
              " 'put': {'negative': 10, 'positive': 11, 'ratio': 1.0909090909090908},\n",
              " 'question': {'negative': 5, 'positive': 15, 'ratio': 2.6666666666666665},\n",
              " 'quit': {'negative': 7, 'positive': 11, 'ratio': 1.5},\n",
              " 'r': {'negative': 11, 'positive': 13, 'ratio': 1.1666666666666667},\n",
              " 'rain': {'negative': 36, 'positive': 18, 'ratio': 0.5135135135135135},\n",
              " 'read': {'negative': 15, 'positive': 27, 'ratio': 1.75},\n",
              " 'readi': {'negative': 9, 'positive': 22, 'ratio': 2.3},\n",
              " 'real': {'negative': 17, 'positive': 18, 'ratio': 1.0555555555555556},\n",
              " 'realli': {'negative': 103, 'positive': 66, 'ratio': 0.6442307692307693},\n",
              " 'releas': {'negative': 5, 'positive': 11, 'ratio': 2.0},\n",
              " 'retweet': {'negative': 5, 'positive': 25, 'ratio': 4.333333333333333},\n",
              " 'right': {'negative': 41, 'positive': 38, 'ratio': 0.9285714285714286},\n",
              " 'run': {'negative': 10, 'positive': 11, 'ratio': 1.0909090909090908},\n",
              " 'said': {'negative': 29, 'positive': 15, 'ratio': 0.5333333333333333},\n",
              " 'saw': {'negative': 15, 'positive': 16, 'ratio': 1.0625},\n",
              " 'say': {'negative': 47, 'positive': 43, 'ratio': 0.9166666666666666},\n",
              " 'see': {'negative': 104, 'positive': 156, 'ratio': 1.4952380952380953},\n",
              " 'selfi': {'negative': 5, 'positive': 11, 'ratio': 2.0},\n",
              " 'send': {'negative': 7, 'positive': 17, 'ratio': 2.25},\n",
              " 'share': {'negative': 8, 'positive': 41, 'ratio': 4.666666666666667},\n",
              " 'shit': {'negative': 26, 'positive': 11, 'ratio': 0.4444444444444444},\n",
              " 'shop': {'negative': 8, 'positive': 12, 'ratio': 1.4444444444444444},\n",
              " 'shout': {'negative': 0, 'positive': 11, 'ratio': 12.0},\n",
              " 'show': {'negative': 19, 'positive': 20, 'ratio': 1.05},\n",
              " 'side': {'negative': 6, 'positive': 13, 'ratio': 2.0},\n",
              " 'sinc': {'negative': 33, 'positive': 11, 'ratio': 0.35294117647058826},\n",
              " 'sleep': {'negative': 71, 'positive': 35, 'ratio': 0.5},\n",
              " 'smile': {'negative': 9, 'positive': 47, 'ratio': 4.8},\n",
              " 'snapchat': {'negative': 64, 'positive': 31, 'ratio': 0.49230769230769234},\n",
              " 'someon': {'negative': 39, 'positive': 29, 'ratio': 0.75},\n",
              " 'someth': {'negative': 21, 'positive': 25, 'ratio': 1.1818181818181819},\n",
              " 'sometim': {'negative': 15, 'positive': 11, 'ratio': 0.75},\n",
              " 'song': {'negative': 25, 'positive': 16, 'ratio': 0.6538461538461539},\n",
              " 'soon': {'negative': 40, 'positive': 38, 'ratio': 0.9512195121951219},\n",
              " 'sorri': {'negative': 117, 'positive': 13, 'ratio': 0.11864406779661017},\n",
              " 'sound': {'negative': 16, 'positive': 20, 'ratio': 1.2352941176470589},\n",
              " 'start': {'negative': 37, 'positive': 56, 'ratio': 1.5},\n",
              " 'stat': {'negative': 0, 'positive': 51, 'ratio': 52.0},\n",
              " 'stay': {'negative': 21, 'positive': 20, 'ratio': 0.9545454545454546},\n",
              " 'still': {'negative': 104, 'positive': 37, 'ratio': 0.3619047619047619},\n",
              " 'stop': {'negative': 35, 'positive': 14, 'ratio': 0.4166666666666667},\n",
              " 'store': {'negative': 3, 'positive': 12, 'ratio': 3.25},\n",
              " 'stream': {'negative': 21, 'positive': 12, 'ratio': 0.5909090909090909},\n",
              " 'stuff': {'negative': 8, 'positive': 11, 'ratio': 1.3333333333333333},\n",
              " 'summer': {'negative': 13, 'positive': 12, 'ratio': 0.9285714285714286},\n",
              " 'super': {'negative': 4, 'positive': 13, 'ratio': 2.8},\n",
              " 'support': {'negative': 24, 'positive': 25, 'ratio': 1.04},\n",
              " 'sure': {'negative': 26, 'positive': 37, 'ratio': 1.4074074074074074},\n",
              " 'sweet': {'negative': 5, 'positive': 16, 'ratio': 2.8333333333333335},\n",
              " 'take': {'negative': 37, 'positive': 30, 'ratio': 0.8157894736842105},\n",
              " 'talk': {'negative': 40, 'positive': 37, 'ratio': 0.926829268292683},\n",
              " 'team': {'negative': 13, 'positive': 24, 'ratio': 1.7857142857142858},\n",
              " 'tell': {'negative': 20, 'positive': 22, 'ratio': 1.0952380952380953},\n",
              " 'text': {'negative': 13, 'positive': 12, 'ratio': 0.9285714285714286},\n",
              " 'thank': {'negative': 94, 'positive': 504, 'ratio': 5.315789473684211},\n",
              " 'thankyou': {'negative': 2, 'positive': 12, 'ratio': 4.333333333333333},\n",
              " \"that'\": {'negative': 46, 'positive': 49, 'ratio': 1.0638297872340425},\n",
              " 'thing': {'negative': 43, 'positive': 48, 'ratio': 1.1136363636363635},\n",
              " 'think': {'negative': 64, 'positive': 48, 'ratio': 0.7538461538461538},\n",
              " 'though': {'negative': 44, 'positive': 16, 'ratio': 0.37777777777777777},\n",
              " 'thought': {'negative': 28, 'positive': 21, 'ratio': 0.7586206896551724},\n",
              " 'thx': {'negative': 1, 'positive': 12, 'ratio': 6.5},\n",
              " 'till': {'negative': 6, 'positive': 16, 'ratio': 2.4285714285714284},\n",
              " 'time': {'negative': 125, 'positive': 100, 'ratio': 0.8015873015873016},\n",
              " 'today': {'negative': 88, 'positive': 86, 'ratio': 0.9775280898876404},\n",
              " 'tomorrow': {'negative': 26, 'positive': 31, 'ratio': 1.1851851851851851},\n",
              " 'tonight': {'negative': 20, 'positive': 15, 'ratio': 0.7619047619047619},\n",
              " 'top': {'negative': 5, 'positive': 30, 'ratio': 5.166666666666667},\n",
              " 'travel': {'negative': 9, 'positive': 19, 'ratio': 2.0},\n",
              " 'tri': {'negative': 58, 'positive': 34, 'ratio': 0.5932203389830508},\n",
              " 'trip': {'negative': 11, 'positive': 12, 'ratio': 1.0833333333333333},\n",
              " 'true': {'negative': 19, 'positive': 19, 'ratio': 1.0},\n",
              " 'turn': {'negative': 13, 'positive': 13, 'ratio': 1.0},\n",
              " 'tweet': {'negative': 28, 'positive': 47, 'ratio': 1.6551724137931034},\n",
              " 'twitter': {'negative': 20, 'positive': 25, 'ratio': 1.2380952380952381},\n",
              " 'two': {'negative': 13, 'positive': 15, 'ratio': 1.1428571428571428},\n",
              " 'u': {'negative': 151, 'positive': 136, 'ratio': 0.9013157894736842},\n",
              " 'unfollow': {'negative': 8, 'positive': 53, 'ratio': 6.0},\n",
              " 'updat': {'negative': 10, 'positive': 12, 'ratio': 1.1818181818181819},\n",
              " 'ur': {'negative': 19, 'positive': 29, 'ratio': 1.5},\n",
              " 'us': {'negative': 33, 'positive': 91, 'ratio': 2.7058823529411766},\n",
              " 'use': {'negative': 31, 'positive': 32, 'ratio': 1.03125},\n",
              " 'via': {'negative': 1, 'positive': 60, 'ratio': 30.5},\n",
              " 'video': {'negative': 20, 'positive': 29, 'ratio': 1.4285714285714286},\n",
              " 'view': {'negative': 6, 'positive': 13, 'ratio': 2.0},\n",
              " 'visit': {'negative': 10, 'positive': 25, 'ratio': 2.3636363636363638},\n",
              " 'w': {'negative': 16, 'positive': 16, 'ratio': 1.0},\n",
              " 'wait': {'negative': 36, 'positive': 55, 'ratio': 1.5135135135135136},\n",
              " 'wanna': {'negative': 76, 'positive': 23, 'ratio': 0.3116883116883117},\n",
              " 'want': {'negative': 185, 'positive': 69, 'ratio': 0.3763440860215054},\n",
              " 'warsaw': {'negative': 0, 'positive': 44, 'ratio': 45.0},\n",
              " 'watch': {'negative': 57, 'positive': 32, 'ratio': 0.5689655172413793},\n",
              " 'way': {'negative': 31, 'positive': 34, 'ratio': 1.09375},\n",
              " \"we'll\": {'negative': 6, 'positive': 12, 'ratio': 1.8571428571428572},\n",
              " \"we'r\": {'negative': 20, 'positive': 25, 'ratio': 1.2380952380952381},\n",
              " 'week': {'negative': 47, 'positive': 72, 'ratio': 1.5208333333333333},\n",
              " 'weekend': {'negative': 21, 'positive': 61, 'ratio': 2.8181818181818183},\n",
              " 'welcom': {'negative': 5, 'positive': 54, 'ratio': 9.166666666666666},\n",
              " 'well': {'negative': 49, 'positive': 66, 'ratio': 1.34},\n",
              " \"what'\": {'negative': 13, 'positive': 14, 'ratio': 1.0714285714285714},\n",
              " 'win': {'negative': 23, 'positive': 12, 'ratio': 0.5416666666666666},\n",
              " 'wish': {'negative': 63, 'positive': 29, 'ratio': 0.46875},\n",
              " 'wonder': {'negative': 9, 'positive': 26, 'ratio': 2.7},\n",
              " 'word': {'negative': 13, 'positive': 17, 'ratio': 1.2857142857142858},\n",
              " 'work': {'negative': 102, 'positive': 88, 'ratio': 0.8640776699029126},\n",
              " 'world': {'negative': 15, 'positive': 23, 'ratio': 1.5},\n",
              " 'worri': {'negative': 5, 'positive': 17, 'ratio': 3.0},\n",
              " 'would': {'negative': 54, 'positive': 70, 'ratio': 1.290909090909091},\n",
              " 'wow': {'negative': 4, 'positive': 14, 'ratio': 3.0},\n",
              " 'write': {'negative': 8, 'positive': 11, 'ratio': 1.3333333333333333},\n",
              " 'wsalelov': {'negative': 5, 'positive': 14, 'ratio': 2.5},\n",
              " 'x': {'negative': 35, 'positive': 50, 'ratio': 1.4166666666666667},\n",
              " 'xx': {'negative': 15, 'positive': 33, 'ratio': 2.125},\n",
              " 'xxx': {'negative': 8, 'positive': 13, 'ratio': 1.5555555555555556},\n",
              " 'ya': {'negative': 11, 'positive': 19, 'ratio': 1.6666666666666667},\n",
              " 'yay': {'negative': 3, 'positive': 15, 'ratio': 4.0},\n",
              " 'ye': {'negative': 39, 'positive': 60, 'ratio': 1.525},\n",
              " 'yeah': {'negative': 35, 'positive': 30, 'ratio': 0.8611111111111112},\n",
              " 'year': {'negative': 37, 'positive': 33, 'ratio': 0.8947368421052632},\n",
              " 'yet': {'negative': 29, 'positive': 12, 'ratio': 0.43333333333333335},\n",
              " 'youth': {'negative': 0, 'positive': 14, 'ratio': 15.0},\n",
              " '–': {'negative': 1, 'positive': 14, 'ratio': 7.5},\n",
              " '—': {'negative': 18, 'positive': 22, 'ratio': 1.2105263157894737},\n",
              " '’': {'negative': 20, 'positive': 17, 'ratio': 0.8571428571428571},\n",
              " '…': {'negative': 14, 'positive': 31, 'ratio': 2.1333333333333333},\n",
              " '♡': {'negative': 8, 'positive': 12, 'ratio': 1.4444444444444444},\n",
              " '♥': {'negative': 20, 'positive': 13, 'ratio': 0.6666666666666666},\n",
              " '❤': {'negative': 15, 'positive': 21, 'ratio': 1.375},\n",
              " '️': {'negative': 13, 'positive': 12, 'ratio': 0.9285714285714286},\n",
              " '😂': {'negative': 14, 'positive': 11, 'ratio': 0.8}}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fNCQGGP2sgvX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "outputId": "52b3d953-8b56-458d-8a4d-04ca45352bc2"
      },
      "source": [
        "\n",
        "print('Truth Predicted Tweet')\n",
        "for x, y in zip(test_x, test_y):\n",
        "    y_hat = naive_bayes_predict(x, logprior, loglikelihood)\n",
        "    if y != (np.sign(y_hat) > 0):\n",
        "        print('%d\\t%0.2f\\t%s' % (y, np.sign(y_hat) > 0, ' '.join(\n",
        "            process_tweets(x)).encode('ascii', 'ignore')))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Truth Predicted Tweet\n",
            "1\t0.00\tb''\n",
            "1\t0.00\tb'truli later move know queen bee upward bound movingonup'\n",
            "1\t0.00\tb'new report talk burn calori cold work harder warm feel better weather :p'\n",
            "1\t0.00\tb'harri niall 94 harri born ik stupid wanna chang :D'\n",
            "1\t0.00\tb''\n",
            "1\t0.00\tb''\n",
            "1\t0.00\tb'park get sunlight'\n",
            "1\t0.00\tb'uff itna miss karhi thi ap :p'\n",
            "0\t1.00\tb'hello info possibl interest jonatha close join beti :( great'\n",
            "0\t1.00\tb'u prob fun david'\n",
            "0\t1.00\tb'pat jay'\n",
            "0\t1.00\tb'whatev stil l young >:-('\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J-OHC6_kB3_9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "  "
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}