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

JMIR Theme Issue: COVID-19 Special Issue (2554) Infodemiology and Infoveillance (1558) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) Natural Language Processing (917) Information Quality in Digital Media (407) Vaccination and Immunization in the Digital Age (442) Quality/Credibility of eHealth Information and Trust Issues (654)

Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40408, first published .
Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study

Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study

Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study

Authors of this article:

Chad A Melton1, 2 Author Orcid Image ;   Brianna M White2 Author Orcid Image ;   Robert L Davis2 Author Orcid Image ;   Robert A Bednarczyk3 Author Orcid Image ;   Arash Shaban-Nejad2 Author Orcid Image
Article Authors Cited by (27) Tweetations (7) Metrics

Journals

  1. Olusanya O, White B, Malik F, Hester K, Davis R, Bednarczyk R, Shaban-Nejad A, Fischer F. Healthcare professionals’ perceptions and recommendations regarding adolescent vaccinations in Georgia and Tennessee during the COVID-19 pandemic: A qualitative research. PLOS ONE 2022;17(11):e0277748 View
  2. Catelli R, Pelosi S, Comito C, Pizzuti C, Esposito M. Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy. Computers in Biology and Medicine 2023;158:106876 View
  3. Wang A, Dara R, Yousefinaghani S, Maier E, Sharif S. A Review of Social Media Data Utilization for the Prediction of Disease Outbreaks and Understanding Public Perception. Big Data and Cognitive Computing 2023;7(2):72 View
  4. White B, Melton C, Zareie P, Davis R, Bednarczyk R, Shaban-Nejad A. Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis. BMJ Health & Care Informatics 2023;30(1):e100665 View
  5. García-Rudolph A, Sanchez-Pinsach D, Frey D, Opisso E, Cisek K, Kelleher J. Know an Emotion by the Company It Keeps: Word Embeddings from Reddit/Coronavirus. Applied Sciences 2023;13(11):6713 View
  6. Franceschi J, Pareschi L, Bellodi E, Gavanelli M, Bresadola M, Vellucci P. Modeling opinion polarization on social media: Application to Covid-19 vaccination hesitancy in Italy. PLOS ONE 2023;18(10):e0291993 View
  7. Wermuth M, Sambre P. The terminological impact of pandemics. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 2023;29(2):169 View
  8. Shah H, Househ M. Mapping loneliness through social intelligence analysis: a step towards creating global loneliness map. BMJ Health & Care Informatics 2023;30(1):e100728 View
  9. Aldosery A, Carruthers R, Kay K, Cave C, Reynolds P, Kostkova P. Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model. Frontiers in Public Health 2024;12 View
  10. Li Z, Zou Z. Punctuation and lexicon aid representation: A hybrid model for short text sentiment analysis on social media platform. Journal of King Saud University - Computer and Information Sciences 2024;36(3):102010 View
  11. Riva M, Parigi T, Ungaro F, Massimino L. Hugging Face's impact on medical applications of artificial intelligence. Computational and Structural Biotechnology Reports 2024;1:100003 View
  12. Bottacin W, Luquetta A, Gomes-Jr L, de Souza T, Reis W, Melchiors A. Sentiment analysis in medication adherence: using ruled-based and artificial intelligence-driven algorithms to understand patient medication experiences. International Journal of Clinical Pharmacy 2025;47(4):970 View
  13. White B, Prasad R, Olusanya O, Singh N, Shaban-Nejad A. Harnessing the Implementation Potential of Digital Vaccination Certificates (DVCs) on Global Scale. Procedia Computer Science 2024;251:454 View
  14. Parveen S, Pereira A, Garzon-Orjuela N, McHugh P, Surendran A, Vornhagen H, Vellinga A. COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source. JMIR Formative Research 2025;9:e59687 View
  15. Saito R, Tsugawa S. Understanding Citizens’ Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI. Journal of Medical Internet Research 2025;27:e63824 View
  16. Liu J, Niu Q, Nagai-Tanima M, Aoyama T. Understanding Human Papillomavirus Vaccination Hesitancy in Japan Using Social Media: Content Analysis. Journal of Medical Internet Research 2025;27:e68881 View
  17. White C, Luttman S, Avery E. Public information officers’ use of social media monitoring: An updated analysis of current practice. Public Relations Review 2025;51(1):102539 View
  18. Alafari F, Driss M, Cherif A. Advances in natural language processing for healthcare: A comprehensive review of techniques, applications, and future directions. Computer Science Review 2025;56:100725 View
  19. Shah H, Househ M. Understanding Loneliness Through Analysis of Twitter and Reddit Data: Comparative Study. Interactive Journal of Medical Research 2025;14:e49464 View
  20. Hora R, Ray A, Kumari A, Mehra R, Kaur A, F Quadri S, Ray B, Singh Koshal S, Kumar Singh S, Sultana A, Deb Roy A. Digital Media Coverage of Respiratory Syncytial Virus-Related News in India: Mixed Methods Content Analysis of Disease Burden and Intervention. JMIR Formative Research 2025;9:e70322 View
  21. Chen H, Alfred M, Cohen E. Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study. JMIR Medical Informatics 2025;13:e68955 View
  22. Shafiya S, Wani M, Jabin S, ELAffendi M, Jahiruddin . CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis. Frontiers in Artificial Intelligence 2025;8 View
  23. An M, Kim M, Kim J, Chang S, Lee D, Park R, Rafi H. Public perception and changing attitudes toward antidepressants over a decade in social media: Lessons learned from online discussion using artificial intelligence. PLOS One 2025;20(9):e0318464 View

Books/Policy Documents

  1. Shaban-Nejad A, Michalowski M, Bianco S. Artificial Intelligence for Personalized Medicine. View
  2. Anoop V, Thekkiniath J, Govindarajan U. Multi-disciplinary Trends in Artificial Intelligence. View
  3. Ghahramani A, Prokofieva M, de Courten M. Health Information Science. View

Conference Proceedings

  1. Mahardhika F, Wicaksono T, Rembulan G, Nan G, Simbre R, Pancho R, Arevalo A. 2025 International Conference on Information Technology Research and Innovation (ICITRI). Temporal Sentiment Analysis and Strategic Visualization of Sustainable Business Feedback From Online Forums Using NLP View