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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 at https://github.com/PacktPublishing/Python-Natural-Language-Processing-Cookbook/tree/master/Chapter03. In this chapter, we will need additional packages. The installation instructions for Anaconda are as follows:

pip install sklearn
pip install gensim
pip install pickle
pip install langdetect
conda install pytorch torchvision cudatoolkit=10.2 -c pytorch
pip install transformers
pip install -U sentence-transformers
pip install whoosh

In addition, we will use the models and datasets located at the following URLs:

  • http://vectors.nlpl.eu/repository/20/40.zip
  • https://www.kaggle.com/currie32/project-gutenbergs-top-20-books
  • https://www.yelp.com/dataset
  • https://www.kaggle.com/PromptCloudHQ/imdb-data
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