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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 4: Classifying Texts

In this chapter, we will be classifying texts using different methods. After reading this chapter, you will be able to preprocess and classify texts using keywords, unsupervised clustering, and two supervised algorithms: support vector machines (SVMs) and long short-term memory neural networks (LSTMs).

Here is the list of recipes in this chapter:

  • Getting the dataset and evaluation baseline ready
  • Performing rule-based text classification using keywords
  • Clustering sentences using K-means: unsupervised text classification
  • Using SVMs for supervised text classification
  • Using LSTMs for supervised text classification
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