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Natural Language Processing Fundamentals

You're reading from   Natural Language Processing Fundamentals Build intelligent applications that can interpret the human language to deliver impactful results

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Product type Paperback
Published in Mar 2019
Publisher
ISBN-13 9781789954043
Length 374 pages
Edition 1st Edition
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Authors (2):
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Dwight Gunning Dwight Gunning
Author Profile Icon Dwight Gunning
Dwight Gunning
Sohom Ghosh Sohom Ghosh
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Sohom Ghosh
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Toc

Table of Contents (10) Chapters Close

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

8. Sentiment Analysis

Learning Objectives

By the end of this chapter, you will be able to:

  • Describe sentiment analysis and its applications
  • Describe various tools in sentiment analysis
  • Perform sentiment analysis using the TextBlob library
  • Demonstrate how to load data for sentiment analysis
  • Demonstrate the training of a sentiment analysis model

In this chapter, you will learn about sentiment analysis and how to use it to detect various sentiments in the data.

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