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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
1. Tokenizing Text and WordNet Basics 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 Penn Treebank Part-of-speech Tags
Index

Detecting and converting character encodings


A common occurrence with text processing is finding text that has nonstandard character encoding. Ideally, all text would be ASCII or utf-8, but that's just not the reality. In cases when you have non-ASCII or non-utf-8 text and you don't know what the character encoding is, you'll need to detect it and convert the text to a standard encoding before doing further processing.

Getting ready

You'll need to install the charade module using sudo pip install charade or sudo easy_install charade. You can learn more about charade at https://pypi.python.org/pypi/charade.

How to do it...

Encoding detection and conversion functions are provided in encoding.py. These are simple wrapper functions around the charade module. To detect the encoding of a string, call encoding.detect(string). You'll get back a dict containing two attributes: confidence and encoding. The confidence attribute is a probability of how confident charade is that the value for encoding is...

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