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Natural Language Processing for Online Applications : Text Retrieval, Extraction and Categorization.

EBSCOhost Academic eBook Collection (North America) Available online

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EBSCOhost eBook Community College Collection Available online

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Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Jackson, Peter, 1948- Author.
Moulinier, Isabelle, Author.
Series:
Natural language processing Natural language processing for online applications
Language:
English
Subjects (All):
Natural language processing (Computer science).
Physical Description:
1 online resource (236 p.)
Edition:
1st ed.
Language Note:
English
Summary:
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.
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.
Notes:
Bibliographic Level Mode of Issuance: Monograph
ISBN:
9786612154560
9781282154568
1282154567
9789027292445
9027292442
OCLC:
648254343

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