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

JMIR Theme Issue: COVID-19 Special Issue (2547) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1901) Infectious Diseases (non-STD/STI) (1712) Infodemiology and Infoveillance (1553) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1132) Machine Learning (2040) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1540) Hygiene and Infection Prevention (372) Outbreak and Pandemic Preparedness and Management (1819) Vaccination and Immunization in the Digital Age (441)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30251, first published .
Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis

Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis

Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis

Authors of this article:

Siru Liu1 Author Orcid Image ;   Jili Li2 Author Orcid Image ;   Jialin Liu3 Author Orcid Image
Article Authors Cited by (26) Tweetations (7) Metrics

Journals

  1. 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
  2. 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
  3. Eligüzel N. Analyzing society anti-vaccination attitudes towards COVID-19: combining latent dirichlet allocation and fuzzy association rule mining with a fuzzy cognitive map. Fuzzy Optimization and Decision Making 2023;22(4):669 View
  4. 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
  5. Jang S, Gerend M, Youm S, Yi Y. Understanding coronavirus disease 2019 (COVID-19) vaccine hesitancy: Evidence from the community-driven knowledge site Quora. DIGITAL HEALTH 2022;8:205520762211454 View
  6. Hong Y, Xie F, An X, Lan X, Liu C, Yan L, Zhang H. Evolution of Public Attitudes and Opinions Regarding COVID-19 Vaccination During the Vaccine Campaign in China: Year-Long Infodemiology Study of Weibo Posts. Journal of Medical Internet Research 2023;25:e42671 View
  7. Aljedaani W, Saad E, Rustam F, de la Torre Díez I, Ashraf I. Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends. Mathematics 2022;10(17):3199 View
  8. Aljedaani W, Abuhaimed I, Rustam F, Mkaouer M, Ouni A, Jenhani I. Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study. Social Network Analysis and Mining 2022;12(1) View
  9. 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
  10. Wu X, Li Z, Xu L, Li P, Liu M, Huang C. COVID-19 Vaccine–Related Information on the WeChat Public Platform: Topic Modeling and Content Analysis. Journal of Medical Internet Research 2023;25:e45051 View
  11. Kalabikhina I, Zubova E, Loukachevitch N, Kolotusha A, Kazbekova Z, Banin E, Klimenko G. Identifying Reproductive Behavior Arguments in Social Media Content Users’ Opinions through Natural Language Processing Techniques. Population and Economics 2023;7(2):40 View
  12. Li Z, Wu X, Xu L, Liu M, Huang C. Hot Topic Recognition of Health Rumors Based on Anti-Rumor Articles on the WeChat Official Account Platform: Topic Modeling. Journal of Medical Internet Research 2023;25:e45019 View
  13. Küçük D, Arıcı N. Deep Learning-Based Sentiment and Stance Analysis of Tweets About Vaccination. International Journal on Semantic Web and Information Systems 2023;19(1):1 View
  14. Yahaya S, Widyodarsono M, Ahmad N, Khan M. Assessing the Purchasing Behaviour in S-commerce among Indonesian Students in Malaysia. Environment-Behaviour Proceedings Journal 2024;9(27):13 View
  15. Yao S. Multiangle perception-oriented environmental facility design method based on joint fuzzy decision-making and transfer learning. PeerJ Computer Science 2024;10:e1855 View
  16. Omar Bali A, Ahmad A, Omer E, Lee K. Public engagement with pictures and videos about COVID-19 vaccination on social media: A cross-sectional study in a developing country. International Journal of Healthcare Management 2025;18(3):540 View
  17. Fabra M, Jung J, Katz R. The contribution of ICTs and telemedicine to COVID-19 vaccination: Evidence from the United States. Health Policy and Technology 2025;14(2):100980 View
  18. Langbecker A, Catalan-Matamoros D. The public debate of covid-19 vaccines on social media: a systematic review. Heliyon 2025;11(13):e43632 View
  19. Oh Y, Rasul M, McKinley E, Calabrese C. From digital traces to public vaccination behaviors: leveraging large language models for big data classification. Frontiers in Artificial Intelligence 2025;8 View
  20. Song Y, Zhang Y, Zou S, Yang X, Huang Q. The spread of pro- and anti-vaccine views by coordinated communities on facebook during COVID-19 pandemic. Journal of Computational Social Science 2025;8(4) View
  21. Wehrli S, Hartner A, Boender T, Arnrich B, Irrgang C. Information Pathways and Voids in Critical German Online Communities During the COVID-19 Vaccination Discourse: Cross-Platform and Mixed Methods Analysis. Journal of Medical Internet Research 2025;27:e76309 View

Books/Policy Documents

  1. Hossain S, Sulaiman S. Advances on Intelligent Informatics and Computing. View
  2. Bansal A, Susan S, Choudhry A, Sharma A. Pattern Recognition and Artificial Intelligence. View
  3. Nimanthika S, Kuhaneswaran B, Wijeratne A, Kumara S. Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science. View
  4. Jerez-Villota E, Guerrero G, Quimbita O. Management, Tourism and Smart Technologies. View

Conference Proceedings

  1. Meyer S, Elsweiler D. Proceedings of the 5th International Conference on Conversational User Interfaces. Towards Cross-Content Conversational Agents for Behaviour Change: Investigating Domain Independence and the Role of Lexical Features in Written Language Around Change View