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Natural Language Processing for Online Applications: Text retrieval, extraction and categorization: 5 (1st) - Rilegato
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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 an 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 It is not intended as a vendor guide (such things are quickly out of date), or as a recipe for building applications (such recipes are very context-dependent).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 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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Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization
Editore:
John Benjamins Publishing Co, 2002
ISBN 10: 9027249881
ISBN 13: 9789027249883
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Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
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Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, and may have sticker on cover, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-M-010-01174
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Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization
Editore:
John Benjamins Publishing Co, 2002
ISBN 10: 9027249881
ISBN 13: 9789027249883
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Da: OverflowBooks, San Diego, CA, U.S.A.
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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 an 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 on evaluation in every chapter, both in terms of methodology (how to evaluate) and what controlled experimentation and industrial experience have to tell us. Codice articolo ABE-1753761502804
Quantità: 1 disponibili