Are you ready to develop and share an application or software component for text and data mining (TDM)? Or do you have knowledge resources that you would like to share and integrate with our platform? OpenMinTeD is looking for service providers, innovators, SMEs and researchers who can join and build on the platform! You can apply for this call until 26 January 2018. Winners of the call will be awarded a sum of money to implement their plans. You will also be part of an online hackathon to help you along the way.
Mads Rydahl is the founder of UNSILO, a Danish start-up that applies machine learning to scientific publishing.
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.