Specialists carrying out systematic literature reviews (SLR) in healthcare topics almost invariably retrieve a large number of documents, the visual scanning of which can be a daunting task. More and more reviewers are turning to intelligent text mining techniques which annotate and process the text in a format ready for indexing. ‘Once the text is indexed it can be searched and results visualised by a number of programs’, says Steve Brewer, director of Text Mining Solutions. ‘TMS has developed Prospector which is an online tool for searching and visualising correlations in data sets which would be impossible to identify manually. Any indexed data set can be searched with Prospector, and the reviewer can easily interrogate the data and identify correlations between multiple sets of terms providing a visually enhanced understanding of the content.’
Prospector was developed in conjunction with GATE at the University of Sheffield, supported partly by an Innovation Voucher from the Technology Strategy Board. It is one of the portfolio of tools being brought to the emerging field of text mining by TMS. ‘Text mining can add value in numerous situations where large amounts of text data have to be processed, continues Steve. ‘Whether it is company records and archives, web pages or social media feeds, employing technology to identify, retrieve and interpret documents saves time, improves results, and affords competitive advantage to businesses who rely upon accurate information and interpretation.’
York Health Economics Consortium offer another chance to attend the workshop in October and are taking bookings now.