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

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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   Crossref logo
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Twitter Opinion Mining
Encyclopedia of Social Network Analysis and Mining. 2014;2259-2259   Crossref logo
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Twitter Opinion Mining
Encyclopedia of Social Network Analysis and Mining. 2018;3241-3241   Crossref logo
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An exploratory analysis of public opinion and sentiments towards COVID-19 pandemic using Twitter data.
. 2020;   Crossref logo
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Political Actors Participation within Nation-Wide Social Distancing during CoVID-19 Pandemic in Twitter
. 2020;   Crossref logo
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How loneliness is talked about in social media during COVID-19 pandemic: Text mining of 4,492 Twitter feeds
Journal of Psychiatric Research. 2020;   Crossref logo
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Public risk perception and emotion on Twitter during the Covid-19 pandemic
Applied Network Science. 2020;5(1):   Crossref logo
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On Determining the Age Distribution of COVID-19 Pandemic
Frontiers in Public Health. 2020;8:   Crossref logo
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Influence modeling of opinion switching by Twitter users in public shaming events
Social Network Analysis and Mining. 2020;10(1):   Crossref logo
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Self-Quarantine Noncompliance During the COVID-19 Pandemic in South Korea
Disaster Medicine and Public Health Preparedness. 2020;1-4   Crossref logo
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