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Python 3 Text Processing with NLTK 3 Cookbook - Second Edition
book

Python 3 Text Processing with NLTK 3 Cookbook - Second Edition

by Jacob Perkins
August 2014
Beginner to intermediate
304 pages
7h 10m
English
Packt Publishing
Content preview from Python 3 Text Processing with NLTK 3 Cookbook - Second Edition

Replacing synonyms

It is often useful to reduce the vocabulary of a text by replacing words with common synonyms. By compressing the vocabulary without losing meaning, you can save memory in cases such as frequency analysis and text indexing. More details about these topics are available at https://en.wikipedia.org/wiki/Frequency_analysis and https://en.wikipedia.org/wiki/Full_text_search. Vocabulary reduction can also increase the occurrence of significant collocations, which was covered in the Discovering word collocations recipe of Chapter 1, Tokenizing Text and WordNet Basics.

Getting ready

You will need a defined mapping of a word to its synonym. This is a simple controlled vocabulary. We will start by hardcoding the synonyms as a Python dictionary, ...

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Publisher Resources

ISBN: 9781782167853