Cover image for Natural Language Processing for Online Applications : Text retrieval, extraction and categorization. Second revised edition.
Natural Language Processing for Online Applications : Text retrieval, extraction and categorization. Second revised edition.
Title:
Natural Language Processing for Online Applications : Text retrieval, extraction and categorization. Second revised edition.
Author:
Jackson, Peter.
ISBN:
9789027292445
Personal Author:
Physical Description:
1 online resource (236 pages)
Contents:
Natural Language Processing for Online Applications -- Editorial page -- Title page -- LCC data -- Table of contents -- Preface -- Chapter 1: Natural language processing -- Chapter 2: Document retrieval -- Chapter 3: Information extraction -- Chapter 4: Text categorization -- Chapter 5: Towards text mining -- Index -- Natural Language Processing.
Abstract:
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.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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