Published on in Vol 9 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/64723, first published
.

Journals
- 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
- 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
- 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
- Kinoshita K, Feldman O. Subtext and semantics: ChatGPT and the study of Japanese political rhetoric. Asian Journal of Political Science 2026:1 View
- 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
- 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
- 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
- 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
Conference Proceedings
- 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
- 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
