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Python Natural Language Processing Cookbook

You're reading from   Python Natural Language Processing Cookbook Over 60 recipes for building powerful NLP solutions using Python and LLM libraries

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781803245744
Length 312 pages
Edition 2nd Edition
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Authors (2):
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Saurabh Chakravarty Saurabh Chakravarty
Author Profile Icon Saurabh Chakravarty
Saurabh Chakravarty
Zhenya Antić Zhenya Antić
Author Profile Icon Zhenya Antić
Zhenya Antić
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Toc

Table of Contents (13) 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: Visualizing Text Data 8. Chapter 8: Transformers and Their Applications 9. Chapter 9: Natural Language Understanding 10. Chapter 10: Generative AI and Large Language Models 11. Index 12. Other Books You May Enjoy

Playing with Grammar

Grammar is one of the main building blocks of language. Each human language, and programming language for that matter, has a set of rules that every person speaking it must follow, otherwise risking not being understood. These grammatical rules can be uncovered using NLP and are useful for extracting data from sentences. For example, using information about the grammatical structure of text, we can parse out subjects, objects, and relations between different entities.

In this chapter, you will learn how to use different packages to reveal the grammatical structure of words and sentences, as well as extract certain parts of sentences. These are the topics covered in this chapter:

  • Counting nouns – plural and singular nouns
  • Getting the dependency parse
  • Extracting noun chunks
  • Extracting the subjects and objects of the sentence
  • Finding patterns in text using grammatical information
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Python Natural Language Processing Cookbook - Second Edition
Published in: Sep 2024
Publisher: Packt
ISBN-13: 9781803245744
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