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

Peter Jackson; Isabelle Moulinier

ISBN 10: 9027249881 / ISBN 13: 9789027249883

Editore: John Benjamins Publishing Co, 2002

Riguardo questo articolo

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 It is not intended as a vendor guide (such things are quickly out of date), or as a recipe for building applications (such recipes are very context-dependent).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

Dati bibliografici

• Titolo: Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization
• Editore: John Benjamins Publishing Co
• Data di pubblicazione: 2002
• Lingua: Inglese
• ISBN 10: 9027249881
• ISBN 13: 9789027249883
• Rilegatura: Rilegato
• Condizione: nuovo
• Peso: 445 grammi

Descrizione articolo

Riassunto

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 It is not intended as a vendor guide (such things are quickly out of date), or as a recipe for building applications (such recipes are very context-dependent).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.