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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation

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Information Extraction: Algorithms and Prospects in a Retrieval Context (Paperback, Softcover reprint of hardcover 1st ed. 2006) Loot Price: R2,866
Discovery Miles 28 660
Information Extraction: Algorithms and Prospects in a Retrieval Context (Paperback, Softcover reprint of hardcover 1st ed....

Information Extraction: Algorithms and Prospects in a Retrieval Context (Paperback, Softcover reprint of hardcover 1st ed. 2006)

Marie-Francine Moens

Series: The Information Retrieval Series, 21

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Loot Price R2,866 Discovery Miles 28 660 | Repayment Terms: R269 pm x 12*

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This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.

General

Imprint: Springer
Country of origin: Netherlands
Series: The Information Retrieval Series, 21
Release date: November 2010
First published: 2006
Authors: Marie-Francine Moens
Dimensions: 240 x 160 x 15mm (L x W x T)
Format: Paperback
Pages: 246
Edition: Softcover reprint of hardcover 1st ed. 2006
ISBN-13: 978-90-481-7246-7
Categories: Books > Reference & Interdisciplinary > Library & information sciences > General
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Business & Economics > Industry & industrial studies > Media, information & communication industries > Information technology industries
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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LSN: 90-481-7246-2
Barcode: 9789048172467

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