Shim, J.-G.; Ryu, K.-H.; Lee, S.H.; Cho, E.-A.; Lee, Y.J.; Ahn, J.H.
Text Mining Approaches to Analyze Public Sentiment Changes Regarding COVID-19 Vaccines on Social Media in Korea. Int. J. Environ. Res. Public Health 2021, 18, 6549.
https://doi.org/10.3390/ijerph18126549
AMA Style
Shim J-G, Ryu K-H, Lee SH, Cho E-A, Lee YJ, Ahn JH.
Text Mining Approaches to Analyze Public Sentiment Changes Regarding COVID-19 Vaccines on Social Media in Korea. International Journal of Environmental Research and Public Health. 2021; 18(12):6549.
https://doi.org/10.3390/ijerph18126549
Chicago/Turabian Style
Shim, Jae-Geum, Kyoung-Ho Ryu, Sung Hyun Lee, Eun-Ah Cho, Yoon Ju Lee, and Jin Hee Ahn.
2021. "Text Mining Approaches to Analyze Public Sentiment Changes Regarding COVID-19 Vaccines on Social Media in Korea" International Journal of Environmental Research and Public Health 18, no. 12: 6549.
https://doi.org/10.3390/ijerph18126549
APA Style
Shim, J.-G., Ryu, K.-H., Lee, S. H., Cho, E.-A., Lee, Y. J., & Ahn, J. H.
(2021). Text Mining Approaches to Analyze Public Sentiment Changes Regarding COVID-19 Vaccines on Social Media in Korea. International Journal of Environmental Research and Public Health, 18(12), 6549.
https://doi.org/10.3390/ijerph18126549