Supporting Systematic Reviews Using Text Mining

  • Authors:
  • Sophia Ananiadou;Brian Rea;Naoaki Okazaki;Rob Procter;James Thomas

  • Affiliations:
  • University of Manchester, United Kingdom;University of Manchester, United Kingdom;University of Tokyo;University of Manchester, United Kingdom;University of London

  • Venue:
  • Social Science Computer Review
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

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.