Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60948, first published .
Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic

Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic

Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic

Journals

  1. de-Marcos L, Domínguez-Díaz A. LLM-Based Topic Modeling for Dark Web Q&A Forums: A Comparative Analysis With Traditional Methods. IEEE Access 2025;13:67159 View
  2. Chatzimina M, Papadaki H, Pontikoglou C, Tsiknakis M. Topic modeling and sentiment analysis of Greek clinician–patient conversations in hematologic malignancies. International Journal of Medical Informatics 2025;204:106071 View
  3. De-Marcos L, Domínguez-Díaz A, Stapic Z. What’s Going On in Dark Web Question and Answer Forums: Topic Diversity and Linguistic Characteristics. IEEE Access 2025;13:149880 View
  4. Alnajjar M, Hamzeh R, Ghaith L, Baker M, Azzeh M, Qawasmeh O. A hybrid NLP model combining biomedical entities and deep embeddings for automated identification of cancer types in biomedical texts. Network Modeling Analysis in Health Informatics and Bioinformatics 2025;15(1) View