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

Advanced Data Analytics in eHealth (142) eHealth Service, Product, Resource Reviews (31) Adoption and Change Management of eHealth Systems (731) Big Data (245) Machine Learning (1501) Natural Language Processing (706) 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 (8) 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

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