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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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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

What you need for this book

You will need Python 3 and the listed Python packages. For this book, I used Python 3.3.5. To install the packages, you can use pip (https://pypi.python.org/pypi/pip/). The following is the list of the packages in requirements format with the version number used while writing this book:

  • NLTK>=3.0a4
  • pyenchant>=1.6.5
  • lockfile>=0.9.1
  • numpy>=1.8.0
  • scipy>=0.13.0
  • scikit-learn>=0.14.1
  • execnet>=1.1
  • pymongo>=2.6.3
  • redis>=2.8.0
  • lxml>=3.2.3
  • beautifulsoup4>=4.3.2
  • python-dateutil>=2.0
  • charade>=1.0.3

You will also need NLTK-Trainer, which is available at the following link: https://github.com/japerk/nltk-trainer

Beyond Python, there are a couple recipes that use MongoDB and Redis, both NoSQL databases. These can be downloaded at http://www.mongodb.org/ and http://redis.io/, respectively.

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