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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
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: |
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| 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 |
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| 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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