Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51332, first published .
Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer

Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer

Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer

Journals

  1. Shankar R, Xu Q, Bundele A. Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse. Journal of Medical Internet Research 2025;27:e70128 View
  2. Zhong X, Ma Y, Yu H. Leveraging Promotional Strategies to Enhance Hospital Influence on Social Media: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e70676 View
  3. Shankar R, Yip A. Sentiment analysis and topic modeling of social media data to explore public discourse on irritable bowel syndrome. Scientific Reports 2025;15(1) View
  4. Wang X, Leng X. Dialogue pathways and narrative analysis in health communication within the social media environment: an empirical study based on user behavior—a case study of China. Frontiers in Public Health 2025;13 View
  5. Firuzpour F, Saeidnia H. Natural language processing for enhanced feedback mechanisms in breast cancer care: a systematic review and comparative exploration. Discover Artificial Intelligence 2025;5(1) View
  6. Kilinc M, Gurcan F, Soylu A. LLM-Based Generative AI in Medicine: Analysis of Current Research Trends With BERTopic. IEEE Access 2025;13:157026 View