Supporting systematic reviews using text mining

Sophia Ananiadou, Brian Rea, Naoaki Okazaki, Rob Procter, James Thomas

Research output: Contribution to journalArticle

38 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)509-523
Number of pages15
JournalSocial Science Computer Review
Volume27
Issue number4
DOIs
Publication statusPublished - 2009 Nov
Externally publishedYes

Keywords

  • Document classification
  • Summarisation
  • Systematic reviews
  • Terminology
  • Text mining

ASJC Scopus subject areas

  • Social Sciences(all)
  • Computer Science Applications
  • Library and Information Sciences
  • Law

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  • Cite this

    Ananiadou, S., Rea, B., Okazaki, N., Procter, R., & Thomas, J. (2009). Supporting systematic reviews using text mining. Social Science Computer Review, 27(4), 509-523. https://doi.org/10.1177/0894439309332293