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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. 2018;3241-3241 Twitter Opinion Mining Encyclopedia of Social Network Analysis and Mining. 2014;2259-2259 An exploratory analysis of public opinion and sentiments towards COVID-19 pandemic using Twitter data. . 2020; The Extent of the COVID-19 Crisis in in South Korea Social Work and the COVID-19 Pandemic. 2020;81-86 The Influence of the COVID-19 Pandemic on the Imports and Exports in China, Japan, and South Korea Frontiers in Public Health. 2021;9: Contextual response to the COVID-19 pandemic from the experience of South Korea Public Health. 2022; Twitter Sentiment Analysis: Caribbean Prime Ministers Response to COVID-19 Pandemic 2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS). 2021; Public reactions towards Covid-19 vaccination through twitter before and after second wave in India Social Network Analysis and Mining. 2022;12(1): Political Actors Participation within Nation-Wide Social Distancing during CoVID-19 Pandemic in Twitter . 2020; |
