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Text Mining for Biomedicine

Text Mining for Biomedicine

Sophia Ananiadou
Copyright: © 2009 |Pages: 9
ISBN13: 9781605662749|ISBN10: 1605662747|EISBN13: 9781605662756
DOI: 10.4018/978-1-60566-274-9.ch001
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MLA

Ananiadou, Sophia. "Text Mining for Biomedicine." Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration, edited by Violaine Prince and Mathieu Roche, IGI Global, 2009, pp. 1-9. https://doi.org/10.4018/978-1-60566-274-9.ch001

APA

Ananiadou, S. (2009). Text Mining for Biomedicine. In V. Prince & M. Roche (Eds.), Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration (pp. 1-9). IGI Global. https://doi.org/10.4018/978-1-60566-274-9.ch001

Chicago

Ananiadou, Sophia. "Text Mining for Biomedicine." In Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration, edited by Violaine Prince and Mathieu Roche, 1-9. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-274-9.ch001

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Abstract

Text mining provides the automated means to manage information overload and overlook. By adding meaning to text, text mining techniques produce a much more structured analysis of textual knowledge than do simple word searches, and can provide powerful tools for knowledge discovery in biomedicine. In this chapter, the author focus on the text mining services for biomedicine offered by the United Kingdom National Centre for Text Mining.

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