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

New Methods and Approaches in Medical Education (192) Natural Language Processing (636) Machine Learning (1370) e-Learning and Medical Education (645) Ontologies, Classifications, and Coding (223) Development and Evaluation of Research Methods, Instruments and Tools (422)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41953, first published .
Evaluating the Applicability of Existing Lexicon-Based Sentiment Analysis Techniques on Family Medicine Resident Feedback Field Notes: Retrospective Cohort Study

Evaluating the Applicability of Existing Lexicon-Based Sentiment Analysis Techniques on Family Medicine Resident Feedback Field Notes: Retrospective Cohort Study

Evaluating the Applicability of Existing Lexicon-Based Sentiment Analysis Techniques on Family Medicine Resident Feedback Field Notes: Retrospective Cohort Study

Authors of this article:

Kevin Jia Qi Lu1 Author Orcid Image ;   Christopher Meaney1 Author Orcid Image ;   Elaine Guo2 Author Orcid Image ;   Fok-Han Leung1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Gordon M, Daniel M, Ajiboye A, Uraiby H, Xu N, Bartlett R, Hanson J, Haas M, Spadafore M, Grafton-Clarke C, Gasiea R, Michie C, Corral J, Kwan B, Dolmans D, Thammasitboon S. A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical Teacher 2024;46(4):446 View
  2. Johnson D, Chopra S, Bilgic E. Exploring the Use of Natural Language Processing to Understand Emotions of Trainees and Faculty Regarding Entrustable Professional Activity Assessments. Journal of Graduate Medical Education 2024;16(3):323 View