This paper is in the following e-collection/theme issue:

Advanced Data Analytics in eHealth (196) eHealth Service, Product, Resource Reviews (43) Adoption and Change Management of eHealth Systems (865) Big Data (305) Machine Learning (1971) Natural Language Processing (869) Theme Issue 2021: Health Natural Language Processing and Applications (16)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29385, first published .
Automating Large-scale Health Care Service Feedback Analysis: Sentiment Analysis and Topic Modeling Study

Automating Large-scale Health Care Service Feedback Analysis: Sentiment Analysis and Topic Modeling Study

Automating Large-scale Health Care Service Feedback Analysis: Sentiment Analysis and Topic Modeling Study

Authors of this article:

George Alexander1 Author Orcid Image ;   Mohammed Bahja1 Author Orcid Image ;   Gibran Farook Butt1 Author Orcid Image
Article Authors Cited by (20) Tweetations (3) Metrics

Journals

  1. Yazdani A, Shamloo M, Khaki M, Nahvijou A. Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language. BMC Medical Informatics and Decision Making 2023;23(1) View
  2. Falatouri T, Hrušecká D, Fischer T. Harnessing the Power of LLMs for Service Quality Assessment From User-Generated Content. IEEE Access 2024;12:99755 View
  3. Liu M, Yuan S, Li B, Zhang Y, Liu J, Guan C, Chen Q, Ruan J, Xie L. Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis. Journal of Medical Internet Research 2024;26:e58518 View
  4. Parasa S, Sridhar A. Natural Language Processing in Gastroenterology. Gastrointestinal Endoscopy Clinics of North America 2025;35(2):309 View
  5. Xin Y, Grabowska M, Gangireddy S, Krantz M, Kerchberger V, Dickson A, Feng Q, Yin Z, Wei W, He, Z. Improving topic modeling performance on social media through semantic relationships within biomedical terminology. PLOS ONE 2025;20(2):e0318702 View
  6. Al-Fattal A, Singh J. Comparative Reflections on Human-Driven and Generative Artificial Intelligence-Assisted Thematic Analysis: A Collaborative Autoethnography. International Journal of Qualitative Methods 2025;24 View
  7. Çam S. Dijital deneyim kalitesinden tekrar ziyaret niyetine: Tüketici duygu skorlarının aracılığı ile S-O-R modeli çerçevesinde bir inceleme. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 2025;15(2):609 View
  8. Kumari P, Kadian S, Vora M, Vemuri P, Kumar S, Verma O, Narayan R. Recent Advancements in Topic Modeling Techniques for Healthcare, Bioinformatics, and Other Potential Applications. Advanced Intelligent Systems 2025 View
  9. Akça K, Butakın Ayhan D, Aytekin Özdemir A. Chronic burden or silent companion? Experiences of children with type 1 diabetes: A metaphor and sentiment analysis. Journal of Pediatric Nursing 2025;85:213 View
  10. Feizollah A, Lin C, O'Malley L, Thompson W, Listl S, Byrne M. The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health Services: Scoping Review. Journal of Medical Internet Research 2025;27:e72853 View
  11. Kim A, Woo K. Public Perspectives on Palliative and Hospice Care: Social Media Content Analysis Using Topic Modeling and Multiclass Sentiment Analysis. Journal of Medical Internet Research 2025;27:e70836 View

Books/Policy Documents

  1. Woodman R, Mangoni A. Gerontechnology. A Clinical Perspective. View
  2. Osório L, Fachada N. Technological Innovation for Human-Centric Systems. View

Conference Proceedings

  1. Okaro I, van der Burgt O. 2023 Annual Reliability and Maintainability Symposium (RAMS). A Methodology for Maintenance Analysis and Modeling Using Deep Learning View
  2. Alghamdi S. 2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS). Toward Identifying Customer Complaints of Cloud Service Providers Using Topic Modeling and Sentiment Analysis View
  3. M.B. N, G.S. G. 2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). Leveraging Natural Language Processing for In-Depth Analysis and Insights from Hospital Patient Feedback Data View
  4. C S, Venugopal E, Kamalakhannan S. 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). Cascaded LSTM-XGBoost Model for Monitoring the Health and Safety of Platform Workers View
  5. Hashir M, Sharma A, Faisal S, Rawat G. 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). Automatic Feedback Generation In NLP: A Systematic Review View
  6. Goh J, Goh M, Abad L, Raguro M, Awat T, Cyndee Marqueses K. 2025 16th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e). Web-Based Clinic Management System with Patient Satisfaction Analysis Using Sentiment Analysis View
  7. Islam K, Karri R, Vegesna S, Wu J, Madiraju P. 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement View