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.
Moulinier Isabelle Moulinier & Jackson Peter Jackson
Natural Language Processing for Online Applications [PDF ebook]
Text retrieval, extraction and categorization. Second revised edition
Natural Language Processing for Online Applications [PDF ebook]
Text retrieval, extraction and categorization. Second revised edition
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Langue Anglais ● Format PDF ● Pages 244 ● ISBN 9789027292445 ● Maison d’édition John Benjamins Publishing Company ● Publié 2007 ● Téléchargeable 3 fois ● Devise EUR ● ID 4224702 ● Protection contre la copie Adobe DRM
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