Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27654, first published .
Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach

Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach

Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach

Journals

  1. Wrightson-Hester A, Anderson G, Dunstan J, McEvoy P, Sutton C, Myers B, Egan S, Tai S, Johnston-Hollitt M, Chen W, Gedeon T, Mansell W. An Artificial Therapist (Manage Your Life Online) to Support the Mental Health of Youth: Co-Design and Case Series. JMIR Human Factors 2023;10:e46849 View
  2. Ciolfi Felice M, Søndergaard M, Balaam M. Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e47131 View
  3. Khalifa M, Albadawy M, Iqbal U. Advancing clinical decision support: The role of artificial intelligence across six domains. Computer Methods and Programs in Biomedicine Update 2024;5:100142 View
  4. Jordan A, Park A. Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content. JMIR AI 2024;3:e54501 View
  5. Limpanopparat S, Gibson E, Harris D. User engagement, attitudes, and the effectiveness of chatbots as a mental health intervention: A systematic review. Computers in Human Behavior: Artificial Humans 2024;2(2):100081 View

Books/Policy Documents

  1. Saifullah S, Dreżewski R, Dwiyanto F, Aribowo A, Fauziah Y. Computational Science – ICCS 2023. View