A Global COVID-19 Observatory, Monitoring the Pandemics Through Text Mining and Visualization

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

INFORMATICA-AN INTERNATIONAL JOURNAL OF COMPUTING AND INFORMATICS（2022）

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摘要

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.

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text mining, data analytics, data visualisation, public health, Coronavirus, COVID-19, epidemic intelligence

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