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

Natural Language Processing (618) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (755)

Published on in Vol 3, No 2 (2015): April-June

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

Authors of this article:

Inocencio Daniel Maramba1 Author Orcid Image ;   Antoinette Davey1 Author Orcid Image ;   Marc N Elliott2 Author Orcid Image ;   Martin Roberts3 Author Orcid Image ;   Martin Roland4 Author Orcid Image ;   Finlay Brown5 Author Orcid Image ;   Jenni Burt4 Author Orcid Image ;   Olga Boiko1 Author Orcid Image ;   John Campbell1 Author Orcid Image
Article Authors Cited by (33) Tweetations (18) Metrics

Journals

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  18. Chekijian S, Li H, Fodeh S. Emergency care and the patient experience: Using sentiment analysis and topic modeling to understand the impact of the COVID-19 pandemic. Health and Technology 2021;11(5):1073 View
  19. Hah H, Goldin D. Moving toward AI-assisted decision-making: Observation on clinicians’ management of multimedia patient information in synchronous and asynchronous telehealth contexts. Health Informatics Journal 2022;28(1):146045822210770 View
  20. Delcker J. Digitalisation in the Curricula of Vocational Schools: Text Mining as an Instrument of Curricula Analysis. Technology, Knowledge and Learning 2023;28(3):999 View
  21. Ojo A, Rizun N. Enabling Deeper Linguistic-Based Text Analytics—Construct Development for the Criticality of Negative Service Experience. IEEE Access 2019;7:169217 View
  22. Meyer J, Okuboyejo S. User Reviews of Depression App Features: Sentiment Analysis. JMIR Formative Research 2021;5(12):e17062 View
  23. Roy M, Kain N, Touchie C. Exploring Content Relationships Among Components of a Multisource Feedback Program. Journal of Continuing Education in the Health Professions 2022;42(4):243 View
  24. Gui L, He Y. Understanding patient reviews with minimum supervision. Artificial Intelligence in Medicine 2021;120:102160 View
  25. Gregory K, Geiger L, Salisbury P. Voyant Tools and Descriptive Metadata: A Case Study in How Automation Can Compliment Expertise Knowledge. Journal of Library Metadata 2022;22(1-2):1 View
  26. Fyfe S, Smyth H, Schirra H, Rychlik M, Sultanbawa Y. The Framework for Responsible Research With Australian Native Plant Foods: A Food Chemist's Perspective. Frontiers in Nutrition 2022;8 View
  27. Shaw G, Zimmerman M, Vasquez-Huot L, Karami A. Deciphering Latent Health Information in Social Media Using a Mixed-Methods Design. Healthcare 2022;10(11):2320 View
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  29. Varagur K, Murphy J, Skolnick G, Naidoo S, McEvoy S, Strahle J, Patel K. Family Experiences with Diagnosis of Craniosynostosis: Thematic Analysis of Online Discussion Boards. The Cleft Palate Craniofacial Journal 2023 View
  30. Raj S, Ghosh A, Pandiyan S, Chauhan D, Goel S. Analysis of YouTube content on substance use disorder treatment and recovery. International Journal of Social Psychiatry 2023;69(8):2097 View
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Books/Policy Documents

  1. Khan Z, Venugopal S, Oroumchian F. Advances in Software Engineering, Education, and e-Learning. View