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Natural Language Processing for Online Applications
Text retrieval, extraction and categorization. Second revised edition
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Peter Jackson
and Isabelle Moulinier
Language:
English
Published/Copyright:
2007
About this book
This text covers the technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical concerns. It assumes some mathematical background on the part of the reader, but the chapters typically begin with a non-mathematical account of the key issues. Current research topics are covered only to the extent that they are informing current applications; detailed coverage of longer term research and more theoretical treatments should be sought elsewhere. There are many pointers at the ends of the chapters that the reader can follow to explore the literature. However, the book does maintain a strong emphasis on evaluation in every chapter both in terms of methodology and the results of controlled experimentation.
Topics
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Prelim pages
i -
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Table of contents
v -
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Preface to the 2nd edition
ix -
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Chapter 1. Natural language processing
1 -
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Chapter 2. Document retrieval
23 -
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Chapter 3. Information extraction
69 -
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Chapter 4. Text categorization
113 -
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Chapter 5. Text mining
163 -
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References
215 -
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Index
227
Publishing information
Pages and Images/Illustrations in book
eBook published on:
July 1, 2008
eBook ISBN:
9789027292445
Pages and Images/Illustrations in book
Main content:
232
eBook ISBN:
9789027292445
Audience(s) for this book
College/higher education;Professional and scholarly;