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Text Mining for Biology and Biomedicine

Editat de Sophia Ananiadou, John McNaught
en Limba Engleză Hardback – 31 dec 2005
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 lexical, terminological, and ontological resources at their disposal - and how best to utilize them. Readers 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 explains how to deploy various information extraction methods for biological applications. It helps professionals evaluate and optimize text-mining systems, and includes techniques for integrating text mining and data mining efforts to further facilitate biological analyses.
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Specificații

ISBN-13: 9781580539845
ISBN-10: 158053984X
Pagini: 286
Dimensiuni: 165 x 237 x 21 mm
Greutate: 0.53 kg
Editura: Artech House Publishers
Locul publicării:United Kingdom

Cuprins

Introduction to Text Mining for Biology and Biomedicine. Levels of Natural Language Processing for Text Mining. Lexical, Terminological and Ontological Resources For Biological Text Mining. Automatic Terminology Management in Biomedicine. Abbreviations in Biomedical Text. Named Entity Recognition. Information Extraction. Corpora and their Annotation. Evaluation of Text Mining in Biology. Integrating Text Mining with Data Mining.

Descriere

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 bionformatics practitioners that puts the full range of biological text mining tools and techniques at their fingertips in a single dedicated volume describing the methods of natural language processing and their applications in the biological domain.