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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

Product type Paperback

Published in Sep 2024

Last Updated in May 2025

Publisher Packt

ISBN-13 9781803245744

Length 312 pages

Edition 2nd Edition

Languages

Processing

Tools

Processing

Concepts

GPT/LLMs

Authors (2):

Zhenya Antić

Saurabh Chakravarty

View More author details

Table of Contents (13) 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: 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

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12. Other Books You May Enjoy

Using regular expressions

In this recipe, we will use regular expressions to find email addresses and URLs in text. Regular expressions are special character sequences that define search patterns and can be created and used via the Python re package. We will use a job descriptions dataset and write two regular expressions, one for emails and one for URLs.

Getting ready

Download the job descriptions dataset here: https://www.kaggle.com/andrewmvd/data-scientist-jobs. It is also available in the book’s GitHub repository at https://github.com/PacktPublishing/Python-Natural-Language-Processing-Cookbook-Second-Edition/blob/main/data/DataScientist.csv. Save it into the /data folder.

The notebook is located at https://github.com/PacktPublishing/Python-Natural-Language-Processing-Cookbook-Second-Edition/blob/main/Chapter05/5.1_regex.ipynb.

How to do it…

We will read the data from the CSV file into a pandas DataFrame and will use the Python re package to create regular...

The rest of the chapter is locked

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83

Tech Concepts

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Programming languages

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Authors (2)

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.

See other products by Zhenya Antić

Saurabh Chakravarty

Saurabh Chakravarty

Saurabh Chakravarty, Ph.D. is a seasoned veteran in the software industry with over 20 years of experience in software development. A software developer at heart, he is passionate about programming. He has held various roles, including architect, lead engineer, and software developer, specializing in AI and large-scale distributed systems. Saurabh has worked with Microsoft, Rackspace, and Accenture, as well as with a few startups. He holds a Ph.D. in Computer Science with a specialization in NLP from Virginia Tech, USA. Saurabh lives in California with his wife, Tina, and daughter, Aaliya, and works for AWS in Santa Clara, California.

See other products by Saurabh Chakravarty

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