Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit

Description

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.

Packed with examples and exercises, Natural Language Processing with Python will help you:

• Extract information from unstructured text, either to guess the topic or identify "named entities"
• Analyze linguistic structure in text, including parsing and semantic analysis
• Access popular linguistic databases, including WordNet and treebanks
• Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence

This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. **

This version of the NLTK book is updated for Python 3 and NLTK 3. The first edition of the book, published by O'Reilly, is available at http://nltk.org/book_1ed/. (There are currently no plans for a second edition of the book.)

0. Preface

1. Language Processing and Python

2. Accessing Text Corpora and Lexical Resources

3. Processing Raw Text

4. Writing Structured Programs

5. Categorizing and Tagging Words (minor fixes still required)

6. Learning to Classify Text

7. Extracting Information from Text

8. Analyzing Sentence Structure

9. Building Feature Based Grammars

10. Analyzing the Meaning of Sentences (minor fixes still required)

11. Managing Linguistic Data (minor fixes still required)

12. Afterword: Facing the Language Challenge

Bibliography
Term Index
This book is made available under the terms of the Creative Commons Attribution Noncommercial No-Derivative-Works 3.0 US License .
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