Part 2.1: textblob_basics.ipynb

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    "colab": {
      "name": "textblob_basics.ipynb",
      "provenance": [],
      "collapsed_sections": []
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "ukUqvtpWKXlU",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "94a844d3-235a-4125-e51c-7445b2351f56"
      },
      "source": [
        "import nltk\n",
        "nltk.download('all')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading collection 'all'\n",
            "[nltk_data]    | \n",
            "[nltk_data]    | Downloading package abc to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/abc.zip.\n",
            "[nltk_data]    | Downloading package alpino to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/alpino.zip.\n",
            "[nltk_data]    | Downloading package biocreative_ppi to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/biocreative_ppi.zip.\n",
            "[nltk_data]    | Downloading package brown to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/brown.zip.\n",
            "[nltk_data]    | Downloading package brown_tei to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/brown_tei.zip.\n",
            "[nltk_data]    | Downloading package cess_cat to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/cess_cat.zip.\n",
            "[nltk_data]    | Downloading package cess_esp to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/cess_esp.zip.\n",
            "[nltk_data]    | Downloading package chat80 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/chat80.zip.\n",
            "[nltk_data]    | Downloading package city_database to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/city_database.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/cmudict.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/comparative_sentences.zip.\n",
            "[nltk_data]    | Downloading package comtrans to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package conll2000 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/conll2000.zip.\n",
            "[nltk_data]    | Downloading package conll2002 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/conll2002.zip.\n",
            "[nltk_data]    | Downloading package conll2007 to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package crubadan to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/crubadan.zip.\n",
            "[nltk_data]    | Downloading package dependency_treebank to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/dependency_treebank.zip.\n",
            "[nltk_data]    | Downloading package dolch to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/dolch.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/europarl_raw.zip.\n",
            "[nltk_data]    | Downloading package floresta to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/floresta.zip.\n",
            "[nltk_data]    | Downloading package framenet_v15 to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/framenet_v15.zip.\n",
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            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/framenet_v17.zip.\n",
            "[nltk_data]    | Downloading package gazetteers to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/gazetteers.zip.\n",
            "[nltk_data]    | Downloading package genesis to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/genesis.zip.\n",
            "[nltk_data]    | Downloading package gutenberg to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/gutenberg.zip.\n",
            "[nltk_data]    | Downloading package ieer to /root/nltk_data...\n",
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            "[nltk_data]    | Downloading package inaugural to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/inaugural.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/kimmo.zip.\n",
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            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/lin_thesaurus.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/mac_morpho.zip.\n",
            "[nltk_data]    | Downloading package machado to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package masc_tagged to /root/nltk_data...\n",
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            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping models/moses_sample.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/movie_reviews.zip.\n",
            "[nltk_data]    | Downloading package names to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/names.zip.\n",
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            "[nltk_data]    | Downloading package nps_chat to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/nps_chat.zip.\n",
            "[nltk_data]    | Downloading package omw to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/omw.zip.\n",
            "[nltk_data]    | Downloading package opinion_lexicon to\n",
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            "[nltk_data]    |   Unzipping corpora/opinion_lexicon.zip.\n",
            "[nltk_data]    | Downloading package paradigms to /root/nltk_data...\n",
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            "[nltk_data]    |   Unzipping corpora/pil.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/pl196x.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/problem_reports.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/ptb.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/product_reviews_1.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/product_reviews_2.zip.\n",
            "[nltk_data]    | Downloading package pros_cons to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/pros_cons.zip.\n",
            "[nltk_data]    | Downloading package qc to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/qc.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/senseval.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/sentiwordnet.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/sentence_polarity.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/shakespeare.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/sinica_treebank.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/twitter_samples.zip.\n",
            "[nltk_data]    | Downloading package udhr to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/udhr.zip.\n",
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            "[nltk_data]    |   Unzipping corpora/udhr2.zip.\n",
            "[nltk_data]    | Downloading package unicode_samples to\n",
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            "[nltk_data]    |   Unzipping corpora/unicode_samples.zip.\n",
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            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    | Downloading package verbnet to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/verbnet.zip.\n",
            "[nltk_data]    | Downloading package verbnet3 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/verbnet3.zip.\n",
            "[nltk_data]    | Downloading package webtext to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/webtext.zip.\n",
            "[nltk_data]    | Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/wordnet.zip.\n",
            "[nltk_data]    | Downloading package wordnet_ic to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/wordnet_ic.zip.\n",
            "[nltk_data]    | Downloading package words to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/words.zip.\n",
            "[nltk_data]    | Downloading package ycoe to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/ycoe.zip.\n",
            "[nltk_data]    | Downloading package rslp to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping stemmers/rslp.zip.\n",
            "[nltk_data]    | Downloading package maxent_treebank_pos_tagger to\n",
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            "[nltk_data]    |   Unzipping taggers/maxent_treebank_pos_tagger.zip.\n",
            "[nltk_data]    | Downloading package universal_tagset to\n",
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            "[nltk_data]    |   Unzipping taggers/universal_tagset.zip.\n",
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            "[nltk_data]    |   Unzipping chunkers/maxent_ne_chunker.zip.\n",
            "[nltk_data]    | Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data]    | Downloading package book_grammars to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping grammars/book_grammars.zip.\n",
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            "[nltk_data]    |   Unzipping grammars/sample_grammars.zip.\n",
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            "[nltk_data]    |   Unzipping grammars/spanish_grammars.zip.\n",
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            "[nltk_data]    |   Unzipping grammars/basque_grammars.zip.\n",
            "[nltk_data]    | Downloading package large_grammars to\n",
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            "[nltk_data]    |   Unzipping grammars/large_grammars.zip.\n",
            "[nltk_data]    | Downloading package tagsets to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping help/tagsets.zip.\n",
            "[nltk_data]    | Downloading package snowball_data to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    | Downloading package bllip_wsj_no_aux to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping models/bllip_wsj_no_aux.zip.\n",
            "[nltk_data]    | Downloading package word2vec_sample to\n",
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            "[nltk_data]    |   Unzipping models/word2vec_sample.zip.\n",
            "[nltk_data]    | Downloading package panlex_swadesh to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    | Downloading package mte_teip5 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/mte_teip5.zip.\n",
            "[nltk_data]    | Downloading package averaged_perceptron_tagger to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping taggers/averaged_perceptron_tagger.zip.\n",
            "[nltk_data]    | Downloading package averaged_perceptron_tagger_ru to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping\n",
            "[nltk_data]    |       taggers/averaged_perceptron_tagger_ru.zip.\n",
            "[nltk_data]    | Downloading package perluniprops to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping misc/perluniprops.zip.\n",
            "[nltk_data]    | Downloading package nonbreaking_prefixes to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/nonbreaking_prefixes.zip.\n",
            "[nltk_data]    | Downloading package vader_lexicon to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    | Downloading package porter_test to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping stemmers/porter_test.zip.\n",
            "[nltk_data]    | Downloading package wmt15_eval to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping models/wmt15_eval.zip.\n",
            "[nltk_data]    | Downloading package mwa_ppdb to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping misc/mwa_ppdb.zip.\n",
            "[nltk_data]    | \n",
            "[nltk_data]  Done downloading collection all\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FkMS9U6OKXlc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "14216601-8aab-4715-8e3d-474f9c58d37a"
      },
      "source": [
        "!pip install TextBlob"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: TextBlob in /usr/local/lib/python3.6/dist-packages (0.15.3)\n",
            "Requirement already satisfied: nltk>=3.1 in /usr/local/lib/python3.6/dist-packages (from TextBlob) (3.2.5)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from nltk>=3.1->TextBlob) (1.15.0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-Hc7RWhYKXll"
      },
      "source": [
        "from textblob import TextBlob"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AUwhnWkCKXls"
      },
      "source": [
        "text = '''\n",
        "The titular threat of The Blob has always struck me as the ultimate movie\n",
        "monster: an insatiably hungry, amoeba-like mass able to penetrate\n",
        "virtually any safeguard, capable of--as a doomed doctor chillingly\n",
        "describes it--\"assimilating flesh on contact.\n",
        "Snide comparisons to gelatin be damned, it's a concept with the most\n",
        "devastating of potential consequences, not unlike the grey goo scenario\n",
        "proposed by technological theorists fearful of\n",
        "artificial intelligence run rampant.\n",
        "'''"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0b_sCVi-KXl0"
      },
      "source": [
        "blob = TextBlob(text)"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FPT7oemlNOfB",
        "outputId": "38040f81-2cf2-4c8c-e482-495f85ac5f2c"
      },
      "source": [
        "blob"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TextBlob(\"\n",
              "The titular threat of The Blob has always struck me as the ultimate movie\n",
              "monster: an insatiably hungry, amoeba-like mass able to penetrate\n",
              "virtually any safeguard, capable of--as a doomed doctor chillingly\n",
              "describes it--\"assimilating flesh on contact.\n",
              "Snide comparisons to gelatin be damned, it's a concept with the most\n",
              "devastating of potential consequences, not unlike the grey goo scenario\n",
              "proposed by technological theorists fearful of\n",
              "artificial intelligence run rampant.\n",
              "\")"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cfMyCbppKXl8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "93a0091b-58b7-48c5-8748-ee97a5619a7d"
      },
      "source": [
        "blob.tags"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('The', 'DT'),\n",
              " ('titular', 'JJ'),\n",
              " ('threat', 'NN'),\n",
              " ('of', 'IN'),\n",
              " ('The', 'DT'),\n",
              " ('Blob', 'NNP'),\n",
              " ('has', 'VBZ'),\n",
              " ('always', 'RB'),\n",
              " ('struck', 'VBN'),\n",
              " ('me', 'PRP'),\n",
              " ('as', 'IN'),\n",
              " ('the', 'DT'),\n",
              " ('ultimate', 'JJ'),\n",
              " ('movie', 'NN'),\n",
              " ('monster', 'NN'),\n",
              " ('an', 'DT'),\n",
              " ('insatiably', 'RB'),\n",
              " ('hungry', 'JJ'),\n",
              " ('amoeba-like', 'JJ'),\n",
              " ('mass', 'NN'),\n",
              " ('able', 'JJ'),\n",
              " ('to', 'TO'),\n",
              " ('penetrate', 'VB'),\n",
              " ('virtually', 'RB'),\n",
              " ('any', 'DT'),\n",
              " ('safeguard', 'NN'),\n",
              " ('capable', 'JJ'),\n",
              " ('of', 'IN'),\n",
              " ('as', 'IN'),\n",
              " ('a', 'DT'),\n",
              " ('doomed', 'JJ'),\n",
              " ('doctor', 'NN'),\n",
              " ('chillingly', 'RB'),\n",
              " ('describes', 'VBZ'),\n",
              " ('it', 'PRP'),\n",
              " ('assimilating', 'VBG'),\n",
              " ('flesh', 'NN'),\n",
              " ('on', 'IN'),\n",
              " ('contact', 'NN'),\n",
              " ('Snide', 'JJ'),\n",
              " ('comparisons', 'NNS'),\n",
              " ('to', 'TO'),\n",
              " ('gelatin', 'VB'),\n",
              " ('be', 'VB'),\n",
              " ('damned', 'VBN'),\n",
              " ('it', 'PRP'),\n",
              " (\"'s\", 'VBZ'),\n",
              " ('a', 'DT'),\n",
              " ('concept', 'NN'),\n",
              " ('with', 'IN'),\n",
              " ('the', 'DT'),\n",
              " ('most', 'RBS'),\n",
              " ('devastating', 'JJ'),\n",
              " ('of', 'IN'),\n",
              " ('potential', 'JJ'),\n",
              " ('consequences', 'NNS'),\n",
              " ('not', 'RB'),\n",
              " ('unlike', 'IN'),\n",
              " ('the', 'DT'),\n",
              " ('grey', 'NN'),\n",
              " ('goo', 'NN'),\n",
              " ('scenario', 'NN'),\n",
              " ('proposed', 'VBN'),\n",
              " ('by', 'IN'),\n",
              " ('technological', 'JJ'),\n",
              " ('theorists', 'NNS'),\n",
              " ('fearful', 'NN'),\n",
              " ('of', 'IN'),\n",
              " ('artificial', 'JJ'),\n",
              " ('intelligence', 'NN'),\n",
              " ('run', 'NN'),\n",
              " ('rampant', 'NN')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C9uff6nCKXmE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "62f9ba0c-93e6-44dc-e361-dcce453d2476"
      },
      "source": [
        "blob.noun_phrases"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "WordList(['titular threat', 'blob', 'ultimate movie monster', 'amoeba-like mass', 'snide', 'potential consequences', 'grey goo scenario', 'technological theorists fearful', 'artificial intelligence run rampant'])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z9tG4BcVKXmM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8eff152e-04cb-4f1b-94ea-9e25acbe29ac"
      },
      "source": [
        "blob.sentences"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Sentence(\"\n",
              " The titular threat of The Blob has always struck me as the ultimate movie\n",
              " monster: an insatiably hungry, amoeba-like mass able to penetrate\n",
              " virtually any safeguard, capable of--as a doomed doctor chillingly\n",
              " describes it--\"assimilating flesh on contact.\"),\n",
              " Sentence(\"Snide comparisons to gelatin be damned, it's a concept with the most\n",
              " devastating of potential consequences, not unlike the grey goo scenario\n",
              " proposed by technological theorists fearful of\n",
              " artificial intelligence run rampant.\")]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "chm2xuCTKXmT",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8e2e4e62-b9fa-4394-b649-7498a09068c2"
      },
      "source": [
        "for sentence in blob.sentences:\n",
        "    print(sentence.sentiment.polarity)"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.06000000000000001\n",
            "-0.34166666666666673\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zSDFjotYKXme",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c896b765-e300-490e-8298-afbab7fcec8d"
      },
      "source": [
        "for sentence in blob.sentences:\n",
        "    print(format(sentence.sentiment))"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Sentiment(polarity=0.06000000000000001, subjectivity=0.605)\n",
            "Sentiment(polarity=-0.34166666666666673, subjectivity=0.7666666666666666)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nf55zKDOKXmk"
      },
      "source": [
        "blob1=TextBlob(\"Miss Universe is beautiful\")"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EtVFrwRBKXms",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "33e79538-de57-4b23-982c-77715bfe8da8"
      },
      "source": [
        "print(format(blob1.sentiment))"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Sentiment(polarity=0.85, subjectivity=1.0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nkiv9pY-M4CY"
      },
      "source": [
        "-----------------------------"
      ]
    }
  ]
}