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Automatic Summarisation for Systematic Reviews using Text Mining (ASSERT)
A continuation of NaCTeM into the area of social sciences. The overall aim of ASSERT is to encourage greater participation by the social sciences community in e-Research by developing a summarisation service to facilitate the production of systematic reviews and to support a number of community projects related with text mining applications. In particular to:
- to develop cost-effective and rapid methods for locating relevant studies for input to a systematic review using a combination of text mining techniques;
- to apply a suite of text mining tools that will support novel methods of information management in the domain of social science systematic reviews (document clustering, information extraction and text summarization);
- to demonstrate the applicability of the text mining technology in social sciences, in cooperation with the Evidence for Policy and Practice Information and Co-ordinating Centre (EPPI) and the Social Science Research Unit currently heavily involved in producing systematic reviews.
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Duration : 2006 --2008
Funding : £138,000 JISC
Principal Investigator : Sophia Ananiadou