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Text Mining for Biology and Biomedicine

From Brand: Artech House




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 | #3069831 in Books |  Artech House |  2006-01-27 | Original language:English | PDF # 1 |  9.34 x.81 x6.48l,1.16 | File type: PDF | 286 pages

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||1 of 1 people found the following review helpful.| Text Analysis Explained to Biologists|By John M. Ford|This book was written to help biologists manage the flood of literature in their profession. Online search tools help some, but not enough. Text analysis, "the process of discovering and extracting knowledge from unstructured data," can help with this literature tsunami. Biologists--and researchers in related disciplines-|About the Author|Sophia Ananiadou is deputy director of the National Centre for Text Mining and reader in computer science at the University of Salford, Manchester, England. She received her Ph.D. in computational linguistics at the University of Manchester. Joh

With the volume of biomedical research growing exponentially worldwide, the demand for information retrieval expertise in the field has never been greater. Here's the first guide for bioinformatics practitioners that puts the full range of biological text mining tools and techniques at their fingertips in a single dedicated volume. It describes the methods of natural language processing (NLP) and their applications in the biological domain, and spells out the various lex...

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