Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45381, first published .
Users’ Concerns About Endometriosis on Social Media: Sentiment Analysis and Topic Modeling Study

Users’ Concerns About Endometriosis on Social Media: Sentiment Analysis and Topic Modeling Study

Users’ Concerns About Endometriosis on Social Media: Sentiment Analysis and Topic Modeling Study

Journals

  1. Oliveira J, Eskandar K, Kar E, de Oliveira F, Filho A. Understanding AI’s Role in Endometriosis Patient Education and Evaluating Its Information and Accuracy: Systematic Review. JMIR AI 2024;3:e64593 View
  2. Lores T, Lonie M, Regis N, Misajon R, Kothe E, Mills J. Using the Theory of Planned Behavior to predict information- and support-seeking on Facebook in people with endometriosis. International Journal of Medical Informatics 2025;195:105773 View
  3. Babinski T, Karley S, Cooper M, Shaik S, Wang Y. Exploring Inflammatory Bowel Disease Discourse on Reddit throughout the COVID-19 Pandemic using OpenAI’s GPT 3.5 Turbo Model: Classification Model Validation and Case Study (Preprint). Journal of Medical Internet Research 2024 View
  4. Grutman A, Perelmuter S, Perez A, Meurer J, Contractor M, Mathews E, Shearer K, Burnett L, Uloko M. Understanding Patient Experiences of Vulvodynia Through Reddit: Qualitative Analysis. JMIR Infodemiology 2025;5:e63072 View