New Tools to Analyze Big Data
Thousands of scientific papers in health and medicine are published daily. Such high numbers make it extremely difficult to follow research trends or to find relevant information from a particular study. As a result, there is a strong need for intelligent tools able to analyze text (everything from articles, news and data to web pages, blogs and tweets) and deliver appropriate information in a format that meets users’ needs.
Dr. Stan Matwin, Canada Research Chair in Visual Text Analytics, aims to design, build and deploy tools for text analytics for a wide range of big text data applications.
Matwin hopes to develop new text analytics tools that will allow users to state what knowledge they seek, extracted answers automatically and intelligently from text data. He also aims to merge natural language technologies with data-mining algorithms in order to produce intelligent text analytics solutions.
Matwin’s research will lead to intelligent tools for text analytics and will improve the way users can obtain results from the massive amounts of articles, documents, blogs, and tweets published daily.