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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

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838987312
Length 284 pages
Edition 1st Edition
Languages
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Author (1):
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Zhenya Antić Zhenya Antić
Author Profile Icon Zhenya Antić
Zhenya Antić
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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

Technical requirements

The code for this chapter is located in a folder named Chapter04 in the GitHub repository for the book (https://github.com/PacktPublishing/Python-Natural-Language-Processing-Cookbook). There will be a few packages that we will need to install: numpy, sklearn, pandas, tensorflow, keras, and tqdm. Install them using these commands:

pip install numpy
pip install sklearn
pip install pandas
pip install tensorflow
pip install keras
pip install tqdm

Please also follow the individual recipe instructions to get the datasets.

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