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Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64723, first published .
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Evaluating Large Language Models for Sentiment Analysis and Hesitancy Analysis on Vaccine Posts From Social Media: Qualitative Study

Evaluating Large Language Models for Sentiment Analysis and Hesitancy Analysis on Vaccine Posts From Social Media: Qualitative Study

Journals

  1. Daraghmi E, Zyadeh N. Sentiment Classification of Amazon Product Reviews Based on Machine and Deep Learning Techniques: A Comparative Study. Future Internet 2026;18(3):138 View
  2. Li X, Dai J, Pang H. AI-powered digital innovations in pharmaceuticals research & development: Current landscape and case examples. Journal of Biopharmaceutical Statistics 2026:1 View
  3. Calin C, Deligianni M, South B, Jadhav A, Rocco M, Furqueron Z, Hauber B, Watt S. Using sentiment analysis to quantify the relative desirability and acceptability of drug-product attributes. JAMIA Open 2026;9(3) View
  4. Kinoshita K, Feldman O. Subtext and semantics: ChatGPT and the study of Japanese political rhetoric. Asian Journal of Political Science 2026:1 View
  5. Kastrati M, Manaf A, Imran A, Kastrati Z, Daudpota S, Biba M. Do language families matter? Evaluating LLMs for sentiment analysis through a hierarchical cross-lingual lens. Frontiers in Artificial Intelligence 2026;9 View
  6. Dhunnoo P, McGuigan K, Meskó B, O’Rourke V, McCann M. The Participatory Development of CARA (Consultation Analysis & Response Assistant), an Evidence-Based Assistive AI Prototype for Remote Chronic Care: A Qualitative Co-Design Study (Preprint). JMIR Human Factors 2026 View
  7. Farez Ochoa M, Mah H, Ahmed M, Khan M, De la Cruz Ku G, Escandon J, Peredo A. Leveraging Artificial Intelligence to Appraise Social Media Narratives on Breast Reduction Procedures: A Snapshot Analysis. Cureus 2026 View
  8. Huang Y, Islam M, Quddus M, West A, Ahsan A, Chowdhury S. Multi-method NLP analysis of stakeholder discourse and coordination challenges in the industrial hemp value chain. Strategic Business Research 2026;2(1):100306 View

Books/Policy Documents

  1. Cao J, Hao Z, Yu J. Artificial Intelligence in Education. View
  2. . Sentiment Analysis in NLP. View

Conference Proceedings

  1. Liu J, He Y. 2026 International Conference on AI in Education Technology and Applications (AIETA). Evaluation and Optimization of Large Language Models for Cross-Cultural Sentiment Analysis and Text Generation View
  2. Kurashkin S, Malashin I, Martysyuk D, Nelyub V, Masich I, Gantimurov A, Borodulin A, Tynchenko V. Companion Proceedings of the ACM Web Conference 2026. EmoTg: Modeling Social Response to Telegram Posts Using LLM and NLP Features View