Demonstrating EOSC Value through Cross-domain Research Science Projects.

In this work package within the EOSC project, we work on the development and empirical validation of an ontology of COVID-related topics from parliamentary and social media data. The research involves topic modeling, ontology extraction and use, and domain adaptation for the analysis of parliamentary data (as collected by CLARIN) and of social media data (from Twitter) and their connections.

Keywords:ONTOLOGIES, AUTOMATIC TEXT ANALYSIS

Disciplines:Machine learning and decision making, Natural language processing