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The Natural Language Processing Workshop

You're reading from   The Natural Language Processing Workshop Confidently design and build your own NLP projects with this easy-to-understand practical guide

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781800208421
Length 452 pages
Edition 1st Edition
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Authors (6):
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Sohom Ghosh Sohom Ghosh
Author Profile Icon Sohom Ghosh
Sohom Ghosh
Nipun Sadvilkar Nipun Sadvilkar
Author Profile Icon Nipun Sadvilkar
Nipun Sadvilkar
Rohan Chopra Rohan Chopra
Author Profile Icon Rohan Chopra
Rohan Chopra
Muzaffar Bashir Shah Muzaffar Bashir Shah
Author Profile Icon Muzaffar Bashir Shah
Muzaffar Bashir Shah
Dwight Gunning Dwight Gunning
Author Profile Icon Dwight Gunning
Dwight Gunning
Aniruddha M. Godbole Aniruddha M. Godbole
Author Profile Icon Aniruddha M. Godbole
Aniruddha M. Godbole
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Table of Contents (10) Chapters Close

Preface
1. Introduction to Natural Language Processing 2. Feature Extraction Methods FREE CHAPTER 3. Developing a Text Classifier 4. Collecting Text Data with Web Scraping and APIs 5. Topic Modeling 6. Vector Representation 7. Text Generation and Summarization 8. Sentiment Analysis Appendix

The textblob library

textblob is a Python library used for NLP, as we've seen in the previous chapters. It has a simple API and is probably the easiest way to begin with sentiment analysis. textblob is built on top of the NLTK library but is much easier to use. In the following sections, we will do an exercise and an activity to get a better understanding of how we can use textblob for sentiment analysis.

Exercise 8.01: Basic Sentiment Analysis Using the textblob Library

In this exercise, we will perform sentiment analysis on a given text. For this, we will be using the TextBlob class of the textblob library. Follow these steps to complete this exercise:

  1. Open a Jupyter notebook.
  2. Insert a new cell and add the following code to implement to import the TextBlob class from the textblob library:
    from textblob import TextBlob
  3. Create a variable named sentence and assign it a string. Insert a new cell and add the following code to implement this:
    sentence = "but...
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