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Python 3 Text Processing with NLTK 3 Cookbook

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

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Length 304 pages
Edition 2nd Edition
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Author (1):
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Jacob Perkins Jacob Perkins
Author Profile Icon Jacob Perkins
Jacob Perkins
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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

Chapter 5. Extracting Chunks

In this chapter, we will cover the following recipes:

  • Chunking and chinking with regular expressions
  • Merging and splitting chunks with regular expressions
  • Expanding and removing chunks with regular expressions
  • Partial parsing with regular expressions
  • Training a tagger-based chunker
  • Classification-based chunking
  • Extracting named entities
  • Extracting proper noun chunks
  • Extracting location chunks
  • Training a named entity chunker
  • Training a chunker with NLTK-Trainer
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