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Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57395, first published .
Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods

Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods

Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods

Journals

  1. Bizri-Baryak R, Ivanitskaya L, Erzikova E, Kreps G. Analyzing the Overturn of Roe v. Wade: A Term Co-Occurrence Network Analysis of YouTube Comments. Informatics 2025;12(2):49 View
  2. Ahmad M, Batyrshin I, Sidorov G. Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation. JMIR Infodemiology 2025;5:e70525 View
  3. Yuan H, Ke R, Xie X. Sentiment analysis of visitor perceptions on architectural heritage: a case study of Phoenix Ancient Town for sustainable conservation and development. Journal of Asian Architecture and Building Engineering 2025:1 View
  4. Torwane N, Lalloo R, Ha D, Do L. Analysis of Water Fluoridation Debates on Meta Platforms Using Advanced Machine Learning Approaches. JDR Clinical & Translational Research 2025 View
  5. Stadelmann D, Thomas T, Zakharov N. Too hot to play it cool? Temperature and negative media bias. Public Choice 2026;206(3-4):593 View
  6. Herzog A, Zuo M, Patel R, Canete J, Lee E. Hashtags and healing: Leveraging reddit for holistic ostomy care. The American Journal of Surgery 2026;252:116722 View
  7. Li Y, Chen R, Yang X, Liu X, Zhu G, Hu Q. A Quantitative Sustainability Assessment Framework for Contaminated Site Remediation: Integrating LCA, Economic Analysis, and Social Big Data. Water 2025;17(23):3416 View
  8. Ahmad M, Orji R, Amjad M, Siddique A, Kubysheva N, Batyrshin I, Sidorov G. Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data. JMIR Infodemiology 2026;6:e77783 View
  9. Nazir M, Bilal M, Shongwe S. Sentiment analysis for code-mixed low-resource languages: a systematic review of approaches, techniques, applications, challenges, and future directions. Social Network Analysis and Mining 2026;16(1) View

Conference Proceedings

  1. Vaz N, Silva K, Velasco G, Mata L, Fernandes D, Carvalho S. Anais do XXV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2025). Towards a Personalized mHealth Model Using Intelligent Conversational Agents View