|Post doctoral scholar
|University of Aveiro
|Keywords / Areas of Interest
|Text mining, social media, digital phenotyping, mental health, early prediction
|Researchers with background in text mining, sentiment analysis, social media data collection and general data science knowledge that are interested in exploring the value of social media writings as an extension to digital phenotyping.
A post-doctoral scholar at the Institute of Electronics and Informatics Engineering of Aveiro (IEETA) at the Department of Electronics, Telecommunications and Informatics (DETI) of the University of Aveiro, Alina Trifan’s research interest on applying machine learning and artificial intelligence algorithms to generate health insights from social media data. With a Ph.D. in Informatics on Computer Vision for Robotic Applications, Alina joined the Bioinformatics group at IEETA in 2017. Her current research focuses on identifying risk situations in public forums and analyzing social media data for deriving health related insights.