Book Details
Title: Natural Language Processing for Online Applications : Text Retrieval, Extraction, and Categorization
Authors: Peter Jackson & Isabelle Moulinier
Series: Natural Language Processing, 5
Publisher: John Benjamins, Amsterdam; July 2002
Level: Specialized Monograph
Field: Computational linguistics / Natural language processing
Keywords: text retrieval, information extraction, text categorization, Internet
ISBN: 1588112500, English, Paperback, 218 pages
Publisher's Abstract:
This text covers the emerging technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical issues. It seeks to satisfy a need on the part of technology practitioners in the Internet space, faced with having to make difficult decisions as to what research has been done and what the best practices are. It is not intended as a vendor guide (such things are quickly out of date), or as a recipe for building applications (such recipes are very context-dependent). But it does identify the key technologies, the issues involved, and the strengths and weaknesses of the various approaches. There is also a strong emphasis on evaluation in every chapter, both in terms of methodology (how to evaluate) and what controlled experimentation and industrial experience have to tell us.
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Quick References
Jackson, Peter & Isabelle Moulinier. 2002. Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization. Amsterdam: John Benjamins.
@BOOK { 1588112500,
AUTHOR = {Peter Jackson and Isabelle Moulinier},
YEAR = {2002},
TITLE = {Natural Language Processing for Online Applications},
ADDRESS = {Amsterdam},
PUBLISHER = {John Benjamins}
}