Iana Atanassova, Centre Tesnière – CRIT, University of Bourgogne Franche-Comté, is using Text and Data Mining (TDM) to study full-text scientific articles. Studying these papers can be a challenge, as they are usually in a format that is hard to process.
Daniel Duma is a PhD candidate at Alan Turing Institute and University of Edinburgh. He’s creating software that will plug into your existing word processor or text editor. The software will then use text and data mining to recommend papers that you should be aware of, you should read or that you would want to cite.
One of the things you can do with textmining, is discovering conceptually related items within a collection of text and data. Want to know more? Anas Alzogbi is research assistant and doctoral student at the University of Freiburg. He explains Recommenders and Filtering in four short movies.
It’s time for the second part of ‘Key concepts and areas in TDM explained’. This time, Jevin West tells us more about “Text and Data Mining” and “Knowledge Representation” in three short videos. Jevin West is Assistant Professor at the University of Washington and Co-ordinator of DataLab.
During 25 – 27 October OpenMinTeD participated in the FORCE2017 Research Communication and e-Scholarship conference that brings together a diverse group of people interested in changing the way in which scholarly and scientific information is communicated and shared.
The OpenMinTed project co-organized with Agroknow and the AIMS team a webinar entitled “The Text and Data mining functionalities of the PoolParty Semantic Suite”. The webinar took place on the 21st September 2017.