Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54321, first published .
Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences

Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences

Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences

Journals

  1. Al-Imam A, Lora R, Motyka M, Marletta E, Vezzaro M, Moczko J, Younus M, Michalak M. Opinion Mining of Erowid’s Experience Reports on LSD and Psilocybin-Containing Mushrooms. Drug Safety 2025;48(5):559 View
  2. Wu M, Wang K, Huang H, Wu X, Liu Z, Li S. From Big Data to AI-Driven Decisions in Obstructive Sleep Apnea: A Narrative Review Integrating the DDPP Framework. Nature and Science of Sleep 2025;Volume 17:1863 View
  3. Warsito B, Endro Suseno J, Arifudin A. Embedding and Topic Modeling Techniques for Short Text Analysis on Social Media: A Systematic Literature Review. Data and Metadata 2025;4:1168 View
  4. Zhuang W, Zhu J, Bao Y, Zeng Q, Tan F, Li X, Liu C, Lee C. LT-CNN: an integrated deep learning method for enhancing topic recognition in digital healthcare research trend discovering. Advanced Engineering Informatics 2026;69:104006 View