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CrossRef Text and Data Mining |
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Determining Public Opinion of the COVID-19 Pandemic in South Korea and Japan: Social Network Mining on Twitter |
Hocheol Lee, Eun Bi Noh, Sea Hwan Choi, Bo Zhao, Eun Woo Nam |
Healthc Inform Res. 2020;26(4):335-343. Published online October 31, 2020 DOI: https://doi.org/10.4258/hir.2020.26.4.335 |
Determining Public Opinion of the COVID-19 Pandemic in South Korea and Japan: Social Network Mining on Twitter Twitter Opinion Mining Twitter Opinion Mining An exploratory analysis of public opinion and sentiments towards COVID-19 pandemic using Twitter data. Political Actors Participation within Nation-Wide Social Distancing during CoVID-19 Pandemic in Twitter How loneliness is talked about in social media during COVID-19 pandemic: Text mining of 4,492 Twitter feeds Public risk perception and emotion on Twitter during the Covid-19 pandemic On Determining the Age Distribution of COVID-19 Pandemic Influence modeling of opinion switching by Twitter users in public shaming events Self-Quarantine Noncompliance During the COVID-19 Pandemic in South Korea |