Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Python 3 Text Processing with NLTK 3 Cookbook

You're reading from  Python 3 Text Processing with NLTK 3 Cookbook

Product type Book
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Pages 304 pages
Edition 1st Edition
Languages
Author (1):
Jacob Perkins Jacob Perkins
Profile icon Jacob Perkins

Table of Contents (17) Chapters

Python 3 Text Processing with NLTK 3 Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Tokenizing Text and WordNet Basics Replacing and Correcting Words Creating Custom Corpora Part-of-speech Tagging Extracting Chunks Transforming Chunks and Trees Text Classification Distributed Processing and Handling Large Datasets Parsing Specific Data Types Penn Treebank Part-of-speech Tags
Index

Filtering insignificant words from a sentence


Many of the most commonly used words are insignificant when it comes to discerning the meaning of a phrase. For example, in the phrase the movie was terrible, the most significant words are movie and terrible, while the and was are almost useless. You could get the same meaning if you took them out, that is, movie terrible or terrible movie. Either way, the sentiment is the same. In this recipe, we'll learn how to remove the insignificant words and keep the significant ones by looking at their part-of-speech tags.

Getting ready

First, we need to decide which part-of-speech tags are significant and which are not. Looking through the treebank corpus for stopwords yields the following table of insignificant words and tags:

Word

Tag

a

DT

all

PDT

an

DT

and

CC

or

CC

that

WDT

the

DT

Other than CC, all the tags end with DT. This means we can filter out insignificant words by looking at the tag's suffix. Refer to Appendix A, Penn Treebank...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}