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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

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. We will use a job descriptions dataset and write two regular expressions, one for emails and one for URLs.

Getting ready

We will need the pandas package for handling the data. If you haven't already installed it, install it like so:

pip install pandas

Download the job descriptions dataset from https://www.kaggle.com/andrewmvd/data-scientist-jobs.

Here is a very handy tool for debugging regular expressions: https://regex101.com/. You can input a regular expression and a test string. It will show matches resulting from the regular expression, and the steps that the regular expression engine took in the process.

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 expressions and search...

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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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