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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 |
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Healthc Inform Res. 2020;26(4):335-343. Published online October 31, 2020 DOI: https://doi.org/10.4258/hir.2020.26.4.335 |
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Determining Public Opinion of the COVID-19 Pandemic in South Korea and Japan: Social Network Mining on Twitter Healthcare Informatics Research. 2020;26(4):335-343  Twitter Opinion Mining Encyclopedia of Social Network Analysis and Mining. 2014;2259-2259 Twitter Opinion Mining Encyclopedia of Social Network Analysis and Mining. 2018;3241-3241 An exploratory analysis of public opinion and sentiments towards COVID-19 pandemic using Twitter data. . 2020; Political Actors Participation within Nation-Wide Social Distancing during CoVID-19 Pandemic in Twitter . 2020; How loneliness is talked about in social media during COVID-19 pandemic: Text mining of 4,492 Twitter feeds Journal of Psychiatric Research. 2020; Public risk perception and emotion on Twitter during the Covid-19 pandemic Applied Network Science. 2020;5(1): On Determining the Age Distribution of COVID-19 Pandemic Frontiers in Public Health. 2020;8: Influence modeling of opinion switching by Twitter users in public shaming events Social Network Analysis and Mining. 2020;10(1): Self-Quarantine Noncompliance During the COVID-19 Pandemic in South Korea Disaster Medicine and Public Health Preparedness. 2020;1-4 |
