Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838987312
Length 284 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Zhenya Antić Zhenya Antić
Author Profile Icon Zhenya Antić
Zhenya Antić
Arrow right icon
View More author details
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 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
  • ...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image