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

JMIR Theme Issue: COVID-19 Special Issue (2458) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1049) Infodemiology and Infoveillance (1365) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1660) Infectious Diseases (non-STD/STI) (1587) Machine Learning (1491) Natural Language Processing (704) Vaccination and Immunization in the Digital Age (378) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1740) Infoveillance and Social Listening (212)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26953, first published .
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Authors of this article:

Stephen Wai Hang Kwok1 Author Orcid Image ;   Sai Kumar Vadde2 Author Orcid Image ;   Guanjin Wang2 Author Orcid Image
Article Authors Cited by (137) Tweetations (40) Metrics

Journals

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  113. Inoue S, Fuji K. How did internet information influence COVID-19 vaccination? The cyclical influence of the internet, beliefs, attitudes, and intentions toward vaccines from a three-wave longitudinal study. Technology in Society 2024:102776 View
  114. Xu J, Guo D, Wu J, Xu J. Can social media promote vaccination? Strategies and effectiveness of COVID-19 vaccine popularization on Chinese Weibo. Frontiers in Public Health 2024;12 View
  115. Alshanik F, Khasawneh R, Dalky A, Qawasmeh E. Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: A Topic Modeling and Sentiment Analysis Approach (Preprint). JMIR Infodemiology 2023 View

Books/Policy Documents

  1. Mohammed A, Pandian A. International Conference on Innovative Computing and Communications. View
  2. Esparza J, Bejarano G, Ramesh A, Seetharam A. Computational Data and Social Networks. View
  3. Gupta E, Goyal M, Srivastava A, Pathak A. Proceedings of the Third International Conference on Information Management and Machine Intelligence. View
  4. Hossain S, Sulaiman S. Advances on Intelligent Informatics and Computing. View
  5. Singh M, Madhulika , Bansal S. Computational Intelligence in Pattern Recognition. View
  6. Kapoteli E, Chouliara V, Koukaras P, Tjortjis C. Artificial Intelligence and Machine Learning for Healthcare. View
  7. Bhaveeasheshwar E, Deepak G, Mala C. Innovations in Bio-Inspired Computing and Applications. View
  8. Kaur J, Patel S, Vasani M, Saini J. Advances in Information Communication Technology and Computing. View
  9. Juanals B, Minel J. Advances in Computational Collective Intelligence. View
  10. Serra G, Portelli B, Scaboro S, Chersoni E. Innovating Health Against Future Pandemics. View