NLTK Book
This resource is the NLTK Book, which offers a comprehensive guide to natural language processing using Python and the Natural Language Toolkit library. It covers foundational concepts and practical applications for analyzing text data.
Overview
Added
March 17, 2026
Subject & domain
computer-science-advanced · natural-language-processing-nlp
Grade range
Grade 9 (Freshman)–Grade 12 (Senior)
Page kind
Article
Introduction
Natural Language Processing with Python (NLTK Book)
- Authors: Steven Bird, Ewan Klein, and Edward Loper.
- Current Status: Updated for Python 3 and NLTK 3; no plans for a second edition.
- Original Edition: Published by O'Reilly (available at http://nltk.org/book_1ed/).
- Core Chapters:
- 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
- 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
- 11: Managing Linguistic Data
- 12: Afterword: Facing the Language Challenge
- Licensing: Creative Commons Attribution Noncommercial No-Derivative-Works 3.0 US License.
- Support: Questions should be directed to the
nltk-usersmailing list; errors should be reported via the project's issue tracker.
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