This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2452) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349) Vaccination and Immunization in the Digital Age (374) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Discourse (38)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42623, first published .
A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis

A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis

A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis

Authors of this article:

Susan Park1, 2 Author Orcid Image ;   Young-Kyoon Suh3, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. Lindelöf G, Aledavood T, Keller B. Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts. Journal of Medical Internet Research 2023;25:e41319 View
  2. Faizah , Lin B. Visualizing Change and Correlation of Topics With LDA and Agglomerative Clustering on COVID-19 Vaccine Tweets. IEEE Access 2023;11:51647 View
  3. Albitar L, Aboualchamat G. Assessment of attitudes and practices towards COVID-19 pandemic: a survey on a cohort of educated Syrian population. Journal of the Egyptian Public Health Association 2023;98(1) View
  4. Cheng T, Han B, Liu Y. Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data. Frontiers in Public Health 2023;11 View
  5. Doğan B, Balcioglu Y, Elçi M. Multidimensional sentiment analysis method on social media data: comparison of emotions during and after the COVID-19 pandemic. Kybernetes 2024 View
  6. Raman R, Singhania M, Nedungadi P. Advancing the United Nations Sustainable Development Goals Through Digital Health Research: 25 Years of Contributions From the Journal of Medical Internet Research. Journal of Medical Internet Research 2024;26:e60025 View