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Supporting systematic reviews using text mining

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Ananiadou, Sophia, Rea, Brian, Okazaki, Naoaki, Procter, Rob and Thomas, James (2009) Supporting systematic reviews using text mining. Social Science Computer Review, Vol.27 (No.4). pp. 509-523. doi:10.1177/0894439309332293

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Official URL: http://dx.doi.org/10.1177/0894439309332293

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Abstract

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.

Item Type: Journal Article
Divisions: Faculty of Science > Computer Science
Journal or Publication Title: Social Science Computer Review
Publisher: Sage Publications, Inc.
ISSN: 0894-4393
Official Date: 2009
Dates:
DateEvent
2009UNSPECIFIED
Volume: Vol.27
Number: No.4
Page Range: pp. 509-523
DOI: 10.1177/0894439309332293
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Description:

Special Issue on e-Social Science

Version or Related Resource: Also presented at the 3rd International Conference on e-Social Science, Ann Arbor, 7-10 October 2007

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