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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.

概览

收录于

2026年3月17日

学科与领域

computer-science-advanced · natural-language-processing-nlp

年级范围

九年级（高一）–十二年级（高四）

页面类型

Article

简介

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-users mailing list; errors should be reported via the project's issue tracker.
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