Event-driven Analysis of Public Sentiments on COVID-19

• In Event: COVID, Public Opinion, and Pandemic Politics

Brief Overview

This paper develops a hybrid approach combining machine-learning methods and lexicons to quantify public reactions on COVID-19. Statistical and change-point analyses on the event timeseries reflected distinct emotional patterns among four countries.

Author

• Khayrul Bashar, Tokyo Foundation for Policy Research