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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

Product type Paperback

Published in Mar 2021

Publisher Packt

ISBN-13 9781838987312

Length 284 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Mobile Application Development

Author (1):

Zhenya Antić

View More author details

Table of Contents (10) Chapters

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 2: 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 has to follow because otherwise, they risk 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 relationships 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. We will cover the following topics:

Counting nouns – plural and singular nouns
Getting the dependency parse
Splitting sentences into clauses
Extracting noun chunks
Extracting entities and relations
Extracting subjects and objects of the sentence
Finding references – anaphora resolution

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Python Natural Language Processing Cookbook

Published in: Mar 2021

Publisher: Packt

ISBN-13: 9781838987312

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Authors (1)

Zhenya Antić

Zhenya Antić

Zhenya Antić, Ph.D. is an expert in AI and NLP. She is currently the Director of AI Automation at Arch Insurance, where she leads initiatives in Intelligent Document Processing and applies various AI solutions to complex problems. With extensive consulting experience, Zhenya has worked on numerous NLP projects with various companies. She holds a Ph.D. in Linguistics from the University of California, Berkeley, and a B.S. in Computer Science from the Massachusetts Institute of Technology.

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