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Social Science Computer Review
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Reviews

Supporting Systematic Reviews Using Text Mining

Sophia Ananiadou

University of Manchester, United Kingdom, sophia.ananiadou{at}manchester.ac.uk

Brian Rea

University of Manchester, United Kingdom, brian.rea{at}manchester.ac.uk

Naoaki Okazaki

University of Tokyo, okazaki{at}is.s.u-tokyo.ac.jp

Rob Procter

University of Manchester, United Kingdom, rob.procter{at}manchester.ac.uk

James Thomas

University of London, j.thomas{at}ioe.ac.uk

In this article, we describe how we are using text mining solutions to enhance the production of systematic reviews. The aims of this collaborative project are the development of a text mining framework to support systematic reviews and the provision of a service exemplar serving as a test bed for deriving requirements for the development of more generally applicable text mining tools and services.

Key Words: text mining • terminology • summarisation • systematic reviews • document classification

This version was published on November 1, 2009

Social Science Computer Review, Vol. 27, No. 4, 509-523 (2009)
DOI: 10.1177/0894439309332293
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