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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 1: Learning NLP Basics

While working on this book, I focused on including recipes that would be useful in a wide variety of NLP (Natural Language Processing) projects. They range from the simple to the advanced, and deal with everything from grammar to visualizations; and in many of them, options for languages other than English are included. I hope you find the book useful.

Before we can get on with the real work of NLP, we need to prepare our text for processing. This chapter will show you how to do that. By the end of the chapter, you will be able to have a list of words in a piece of text arranged with their parts of speech and lemmas or stems, and with very frequent words removed.

NLTK and spaCy are two important packages that we will be working with in this chapter and throughout the book.

The recipes included in this chapter are as follows:

Dividing text into sentences
Dividing sentences into words: tokenization
Parts of speech tagging

The rest of the chapter is locked

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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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