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.
The deadline for submissions for the call for content has been extended with one week to November 5th. Were you thinking about submitting a proposal, but too busy the last weeks? This is your chance! All information is available on the OpenMinTeD Open Tenders blog.
What are the benefits of text and data mining (TDM) and how can its practices be applied in science? We asked recognised experts in the field to introduce key areas and concepts in short videos. The videos will be released during the following weeks in a series of blogposts. Today we start with day 1: introduction to text and data mining. The videos will also be part of the TDM Knowledge Base .