Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70525, first published .
Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Journals

  1. Usman M, Ahmad M, Sidorov G, Gelbukh I, Tellez R. A Large Language Model-Based Approach for Multilingual Hate Speech Detection on Social Media. Computers 2025;14(7):279 View
  2. Areia C, Taylor M, Garcia M, Hernandez J. Sentiment analysis of research attention: the Altmetric proof of concept. Frontiers in Research Metrics and Analytics 2025;10 View
  3. Sidorov G, Ahmad M, Basile P, Waqas M, Orji R, Batyrshin I. Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal Analysis. JMIR Infodemiology 2025;5:e77279 View
  4. Rosebrock T, Yang Z, D'Arco L, Pathak T, Vislay-Wade R, Fowler K, Diaz-Decaro J, Kunzweiler C. Using Artificial Intelligence Methods to Evaluate the Effect of the National Cytomegalovirus Awareness Month on the Content and Sentiment of Social Media Posts: Infodemiology Study. JMIR Infodemiology 2026;6:e80922 View
  5. Aljaafari M, Sorour S. GenAI Agent for Automated Analysis and Personalization of Drug Prevention Campaigns. Scientific Journal of King Faisal University Humanities and Management Sciences 2026:68 View

Books/Policy Documents

  1. Ahmad M, Ullah F, Habiba U, Zamir M, Batyrshin I, Gelbukh A, Sidorov G. Advances in Soft Computing. View