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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

Follow these steps to install the packages and models required for this chapter:

pip install inflect
python -m spacy download en_core_web_md
pip install textacy

For the Finding references: anaphora resolution recipe, we have to install the neuralcoref package. To install this package, use the following command:

pip install neuralcoref

In case, when running the code, you encounter errors that mention spacy.strings.StringStore size changed, you might need to install neuralcoref from the source:

pip uninstall neuralcoref
git clone https://github.com/huggingface/neuralcoref.git
cd neuralcoref
pip install -r requirements.txt
pip install -e

For more information about installation and usage, see https://github.com/huggingface/neuralcoref.

You have been reading a chapter from
Python Natural Language Processing Cookbook
Published in: Mar 2021
Publisher: Packt
ISBN-13: 9781838987312
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