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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

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "For this recipe, we will need just the beginning of the book, which can be found in the sherlock_holmes_1.txt file."

A block of code is set as follows:

filename = "sherlock_holmes_1.txt"
file = open(filename, "r", encoding="utf-8")
text = file.read()

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

import time
start = time.time()
main()
print("%s s" % (time.time() - start))

Any command-line input or output is written as follows:

python -m spacy download es_core_news_sm

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "It shows that three words from the vocabulary are present, which are seen, of, and Holmes."

Tips or important notes

Appear like this.

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