Natural Language Processing / Text Mining
Fake news, veracity & stance - how do we determine truth of claims on the web? What behaviours exist around false news? How do we know that the data your system is processing is geniune and accurate?
Noisy text processing - including social media text, and clinical text (medics' notoriously bad handwriting does, sometimes, map also to keyboard skills)
Clinical text mining - and pre-clinical public health. Continuing previous associations with Mayo Clinic, NHS SLaM, and Harvard Children's hospital
Information extraction - who did what to whom, and where and when? This is explained in the text but harder to automatically extract and reason about.
Danish NLP - Improve the places that you live in
keywords: natural language processing, machine learning, veracity, social media, semantics, artificial intelligence, dansk