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

Theme Issue: Social Media, Ethics, and COVID-19 Misinformation (30) JMIR Theme Issue: COVID-19 Special Issue (2168) Infodemiology and Infoveillance (1047) Vaccination and Immunization in the Digital Age (279) Infectious Diseases (non-STD/STI) (1254) COVID-19 Vaccination (100) Vaccination Sentiment and Anti-Vaccination Infodemiology (34) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (863) Mass Media/Social Media Communication and Campaigns (404)

Published on in Vol 24 , No 2 (2022) :February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31726, first published .
COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling

COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling

COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling

Authors of this article:

Luwen Huangfu 1, 2 Author Orcid Image ;   Yiwen Mo 1 Author Orcid Image ;   Peijie Zhang 3 Author Orcid Image ;   Daniel Dajun Zeng 3, 4 Author Orcid Image ;   Saike He 3, 4 Author Orcid Image
Article Authors Cited by (19) Tweetations (5) Metrics

Journals

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  3. Abiola O, Abayomi-Alli A, Tale O, Misra S, Abayomi-Alli O. Sentiment analysis of COVID-19 tweets from selected hashtags in Nigeria using VADER and Text Blob analyser. Journal of Electrical Systems and Information Technology 2023;10(1) View
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  5. Wawrzuta D, Klejdysz J, Jaworski M, Gotlib J, Panczyk M. Attitudes toward COVID-19 Vaccination on Social Media: A Cross-Platform Analysis. Vaccines 2022;10(8):1190 View
  6. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  7. Niu Q, Liu J, Kato M, Nagai-Tanima M, Aoyama T. The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis. Journal of Medical Internet Research 2022;24(6):e37466 View
  8. Park S, Suh Y. A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e42623 View
  9. Tokiya M, Hara M, Matsumoto A, Ashenagar M, Nakano T, Hirota Y. Association of Vaccine Confidence and Hesitancy in Three Phases of COVID-19 Vaccine Approval and Introduction in Japan. Vaccines 2022;10(3):423 View
  10. Cascini F, Pantovic A, Al-Ajlouni Y, Failla G, Puleo V, Melnyk A, Lontano A, Ricciardi W. Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature. eClinicalMedicine 2022;48:101454 View
  11. Ljajić A, Prodanović N, Medvecki D, Bašaragin B, Mitrović J. Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling. Journal of Medical Internet Research 2022;24(11):e42261 View
  12. Stracqualursi L, Agati P, Sasahara K. Covid-19 vaccines in Italian public opinion: Identifying key issues using Twitter and Natural Language Processing. PLOS ONE 2022;17(11):e0277394 View
  13. Mondal H, Parvanov E, Singla R, Rayan R, Nawaz F, Ritschl V, Eibensteiner F, Siva Sai C, Cenanovic M, Devkota H, Hribersek M, De R, Klager E, Kletecka-Pulker M, Völkl-Kernstock S, Khalid G, Lordan R, Găman M, Shen B, Stamm T, Willschke H, Atanasov A. Twitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster?. Frontiers in Medicine 2022;9 View
  14. Kwon S, Park A. Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects. Computers in Human Behavior 2023;144:107734 View
  15. Dupuy-Zini A, Audeh B, Gérardin C, Duclos C, Gagneux-Brunon A, Bousquet C. Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts. Journal of Medical Internet Research 2023;25:e37237 View
  16. Liang Y, Liu L, Ji Y, Huangfu L, Zeng D. Identifying emotional causes of mental disorders from social media for effective intervention. Information Processing & Management 2023;60(4):103407 View