Publications

Sophia Ananiadou and John McNaught
ISBN 1-58053-984-X
Approx. 280 pages.
Publication date: January 2006
Artech House Publishers
List price: GBP 50.00
Order before December 31, 2005 and receive a special pre-pub price of �37.00!

More info here.

Here's the first focused book that puts the full range of cutting-edge biological text mining techniques and tools at your command. This comprehensive volume describes the methods of natural language processing (NLP) and their applications in the biological domain, and spells out in detail the various lexical, terminological, and ontological resources now at your disposal - and how best to utilize them.

You see how terminology management tools like term extraction and term structuring facilitate effective mining, and learn ways to readily identify biomedical named entities and abbreviations. The book offers step-by-step guidance to implement various information extraction methods for biological applications, from pattern matching and full parsing approaches to sublanguage- and ontology-driven extraction techniques. It discusses strategies to make the most of text collections and to use corpora and corpus annotation efficiently in text mining applications, and also gives you tested guidelines for evaluating and optimizing text mining systems. Rounding out the volume are techniques for integrating text mining and data mining efforts to further facilitate biological analyses.

Both a critical review of the state of the art and a solution-focused guide packed with field-tested expertise and advice, this first-of-its-kind work will prove indispensable whether you're long experienced with text mining from biomedical literature or entirely new to the field.

Author Bio:
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.
John McNaught is associate director of the National Centre for Text Mining and a lecturer in informatics at the University of Manchester

Ordering Information:
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Here is more information, including table of contents.