To make sense of the huge amount of scientific text and data available, we need text and data mining (TDM). The European project OpenMinTeD has been paving the way for TDM in science by working on an infrastructure for the past three years. We would like to invite you to join us for our event in Brussels on May 24th. Learn about best practices in TDM, perspectives of different stakeholders, the GDPR and the future of TDM and OpenMinTeD.
Dr Jane Reed is Head of Life Science Strategy at Linguamatics, a UK-based company which makes TDM tools to help companies in the healthcare and pharmaceutical industries. She spoke to OpenMinTed about how TDM is being used to speed up drug discoveries and treat patients, and gave a vision for the future of text and data mining.
Dr Alan Akbik is a Research Scientist at Zalando Research. He’s using text and data mining to create tools which can be developed in one language and then applied automatically to other languages. This is valuable for companies such as Zalando, which work in many different countries around the world.
Federico Nanni is a researcher who uses TDM to build collections of materials from large archives which can be used to better understand recent, historically critical events such as the rise of Euroscepticism as a consequence of the recent economic crisis.
It’s time for our final episode of this series of ‘Key concepts and areas in TDM explained’. This time Robert Patton of the Oak Ridge National Laboratories introduces Deep Learning and discusses how it can be applied in practice.