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 電驢下載基地 >> 图书资源 >> 計算機與網絡 >> 《使用Python進行自然語言處理》(Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit)英文文字版[PDF]
《使用Python進行自然語言處理》(Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit)英文文字版[PDF]
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《使用Python進行自然語言處理》(Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit)英文文字版[PDF] 簡介: 中文名 : 使用Python進行自然語言處理 原名 : Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit 作者 : Steven Bird Ewan Klein Edward Loper 圖書分類 : 軟件 資源格式 : PDF 版本 : 英文文字版
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"《使用Python進行自然語言處理》(Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit)英文文字版[PDF]"介紹
中文名: 使用Python進行自然語言處理
原名: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
作者: Steven Bird
Ewan Klein
Edward Loper
圖書分類: 軟件
資源格式: PDF
版本: 英文文字版
出版社: O’Reilly
書號: 978-0596516499
發行時間: 2009年07月07日
地區: 美國
語言: 英文
簡介:

內容介紹:
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
內容截圖:

目錄:
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 
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