使用Python进行自然语言处理 Natural Language Processing with Python: Analyzing Text with th

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资源信息： 中文名: 使用Python进行自然语言处理 原名: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit 作者: Steven Bird Ewan Klein Edward Loper 图书分类: 软件 资源格式: PDF 版本: 英文文字版 出版社: O’Reilly 书号: 978-0596516499 发行时间: 2009年07月07日 地区: 美国 语言: 英文 概述:

内容介绍： 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 内容截图：

目录: Chapter 1 Language Processing and Python Chapter 2 Accessing Text Corpora and Lexical Resources Chapter 3 Processing Raw Text Chapter 4 Writing Structured Programs Chapter 5 Categorizing and Tagging Words Chapter 6 Learning to Classify Text Chapter 7 Extracting Information from Text Chapter 8 Analyzing Sentence Structure Chapter 9 Building Feature-Based Grammars Chapter 10 Analyzing the Meaning of Sentences Chapter 11 Managing Linguistic Data Appendix Afterword: The Language Challenge Appendix Bibliography NLTK Index General Index Colophon