A global COVID-19 observatory, monitoring the pandemics through text mining and visualization Article Swipe

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Pandemic Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 2019-20 coronavirus outbreak Data science Visualization Analytics Observatory Coronavirus Computer science Geography Political science Virology Data mining Medicine Infectious disease (medical specialty) Physics Outbreak Astrophysics Pathology Disease

M. Besher Massri , João Pita Costa , Andrej Bauer , Marko Grobelnik , Janez Brank , Luka Stopar ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.31449/inf.v46i1.3375 · OA: W4280491794

The global health situation due to the SARS-COV-2 pandemic motivated an unprecedented contribution of science and technology from companies and communities all over the world to fight COVID-19. In this paper, we present the impactful role of text mining and data analytics, exposed publicly through IRCAI's Coronavirus Watch portal. We will discuss the available technology and methodology, as well as the ongoing research based on the collected data.