Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python 3 Text Processing with NLTK 3 Cookbook

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

Arrow left icon
Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Length 304 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Jacob Perkins Jacob Perkins
Author Profile Icon Jacob Perkins
Jacob Perkins
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Tokenizing Text and WordNet Basics FREE CHAPTER 2. Replacing and Correcting Words 3. Creating Custom Corpora 4. Part-of-speech Tagging 5. Extracting Chunks 6. Transforming Chunks and Trees 7. Text Classification 8. Distributed Processing and Handling Large Datasets 9. Parsing Specific Data Types A. Penn Treebank Part-of-speech Tags
Index

Setting up a custom corpus

A corpus is a collection of text documents, and corpora is the plural of corpus. This comes from the Latin word for body; in this case, a body of text. So a custom corpus is really just a bunch of text files in a directory, often alongside many other directories of text files.

Getting ready

You should already have the NLTK data package installed, following the instructions at http://www.nltk.org/data. We'll assume that the data is installed to C:\nltk_data on Windows, and /usr/share/nltk_data on Linux, Unix, and Mac OS X.

How to do it...

NLTK defines a list of data directories, or paths, in nltk.data.path. Our custom corpora must be within one of these paths so it can be found by NLTK. In order to avoid conflict with the official data package, we'll create a custom nltk_data directory in our home directory. The following is some Python code to create this directory and verify that it is in the list of known paths specified by nltk.data.path:

>>>...
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 €18.99/month. Cancel anytime