Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40922, first published .
User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis

User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis

User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis

Journals

  1. Chow J, Sanders L, Li K. Impact of ChatGPT on medical chatbots as a disruptive technology. Frontiers in Artificial Intelligence 2023;6 View
  2. Giansanti D. The Chatbots Are Invading Us: A Map Point on the Evolution, Applications, Opportunities, and Emerging Problems in the Health Domain. Life 2023;13(5):1130 View
  3. Danesh F, Dastani M. Text classification technique for discovering country-based publications from international COVID-19 publications. DIGITAL HEALTH 2023;9 View
  4. Pan S, Cui J, Mou Y. Desirable or Distasteful? Exploring Uncertainty in Human-Chatbot Relationships. International Journal of Human–Computer Interaction 2023:1 View
  5. Lu Y, Qi S, Cheng K, Wu H. WHO declares end of mpox global health emergency: first glance from a perspective of ChatGPT/GPT-4. International Journal of Surgery 2023;109(10):3217 View
  6. Siglen E, Vetti H, Augestad M, Steen V, Lunde Å, Bjorvatn C. Evaluation of the Rosa Chatbot Providing Genetic Information to Patients at Risk of Hereditary Breast and Ovarian Cancer: Qualitative Interview Study. Journal of Medical Internet Research 2023;25:e46571 View
  7. Nkongolo Wa Nkongolo M, Bi Y. News Classification and Categorization with Smart Function Sentiment Analysis. International Journal of Intelligent Systems 2023;2023:1 View
  8. Ali O, Murray P, Momin M, Al-Anzi F. The knowledge and innovation challenges of ChatGPT: A scoping review. Technology in Society 2023;75:102402 View
  9. Chin H, Song H, Baek G, Shin M, Jung C, Cha M, Choi J, Cha C. The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e51712 View
  10. Ali O, Murray P, Momin M, Dwivedi Y, Malik T. The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting and Social Change 2024;199:123076 View
  11. Lee J, You J, Lee D. User Preferences on AI Psychotherapy Based on Moderating Effects of Individual Personality Traits: Employing a Clustering Analysis. International Journal of Human–Computer Interaction 2024:1 View
  12. Ashique S, Mishra N, Mohanto S, Garg A, Taghizadeh-Hesary F, Gowda B, Chellappan D. Application of artificial intelligence (AI) to control COVID-19 pandemic: Current status and future prospects. Heliyon 2024;10(4):e25754 View
  13. Cung M, Sosa B, Yang H, McDonald M, Matthews B, Vlug A, Imel E, Wein M, Stein E, Greenblatt M. The performance of artificial intelligence chatbot large language models to address skeletal biology and bone health queries. Journal of Bone and Mineral Research 2024;39(2):106 View
  14. Chow J, Wong V, Li K. Generative Pre-Trained Transformer-Empowered Healthcare Conversations: Current Trends, Challenges, and Future Directions in Large Language Model-Enabled Medical Chatbots. BioMedInformatics 2024;4(1):837 View
  15. Laymouna M, Ma Y, Lessard D, Schuster T, Engler K, Lebouché B. Roles, Users, Benefits and Limitations of Chatbots in Healthcare: A Rapid Review (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Visakh P, Meena P, Anoop V. Multi-disciplinary Trends in Artificial Intelligence. View
  2. Shen I. Generative AI in Teaching and Learning. View