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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

Visualizing the dependency parse

In this recipe, we will learn how to use the displaCy library and visualize the dependency parse. Details about how to create a dependency parse can be found in Chapter 2, Getting the Dependency Parse. We will create two visualizations, one for a short text and another for a long, multi-sentence text.

Getting ready

The displaCy library is part of the spacy package. You need at least version 2.0.12 of the spacy package. If you don't have spacy, install it using the following command:

pip install spacy

To check the version you have, use the following commands:

>>> import spacy
>>> print(spacy.__version__)
2.3.0
>>> exit()

If your version is lower than 2.0.12, use the following command to upgrade spacy:

pip install -U spacy

To validate that the models you have on your computer are compatible with your new version of spacy, use the following command:

python -m spacy validate

How to do it…...

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