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Python Natural Language Processing Cookbook

You're reading from   Python Natural Language Processing Cookbook Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838987312
Length 284 pages
Edition 1st Edition
Languages
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Author (1):
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Zhenya Antić Zhenya Antić
Author Profile Icon Zhenya Antić
Zhenya Antić
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Toc

Table of Contents (10) Chapters Close

Preface 1. Chapter 1: Learning NLP Basics 2. Chapter 2: Playing with Grammar FREE CHAPTER 3. Chapter 3: Representing Text – Capturing Semantics 4. Chapter 4: Classifying Texts 5. Chapter 5: Getting Started with Information Extraction 6. Chapter 6: Topic Modeling 7. Chapter 7: Building Chatbots 8. Chapter 8: Visualizing Text Data 9. Other Books You May Enjoy

Chapter 8: Visualizing Text Data

In this chapter, we will create different types of visualizations. We will visualize the dependency parse, which will show the grammatical relations between words in a sentence. Then, we will visualize different types of verbs in a text using a bar graph. After that, we will look at visualizing named entities in a text. Next, we will create word clouds from a corpus of text, and finally, we will visualize topics created with Latent Dirichlet Allocation (LDA) model.

These are the recipes you will find in this chapter:

  • Visualizing the dependency parse
  • Visualizing parts of speech
  • Visualizing NER
  • Constructing word clouds
  • Visualizing topics
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