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Viser: Natural Language Processing with Python - Analyzing Text with the Natural Language Toolkit

Natural Language Processing with Python, 1. udgave

Natural Language Processing with Python Vital Source e-bog

Steven Bird, Ewan Klein og Edward Loper
(2009)
O'Reilly Media, Inc
436,00 kr. 392,40 kr.
Leveres umiddelbart efter køb
Natural Language Processing with Python - Analyzing Text with the Natural Language Toolkit

Natural Language Processing with Python

Analyzing Text with the Natural Language Toolkit
Steven Bird, Ewan Klein og Edward Loper
(2009)
Sprog: Engelsk
O'Reilly Media, Incorporated
479,00 kr.
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Detaljer Om Varen

  • 1. Udgave
  • Vital Source E-book: 504 sider
  • Udgiver: O'Reilly Media, Inc (Juni 2009)
  • Forfattere: Steven Bird, Ewan Klein og Edward Loper
  • ISBN: 9780596555719
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.
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Detaljer Om Varen

  • Paperback: 504 sider
  • Udgiver: O'Reilly Media, Incorporated (Juli 2009)
  • Forfattere: Steven Bird, Ewan Klein og Edward Loper
  • ISBN: 9780596516499

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.
Preface
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 Afterword: The Language Challenge Bibliography NLTK
Index General
Index Colophon
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