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

New Methods and Approaches in Medical Education (282) Natural Language Processing (764) Machine Learning (1627) e-Learning and Digital Medical Education (754) Ontologies, Classifications, and Coding (256) Development and Evaluation of Research Methods, Instruments and Tools (598)

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
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New in JMIR MedEdu: Evaluating the Applicability of Existing Lexicon-Based Sentiment Analysis Techniques on Family Medicine Resident Feedback Field Notes: Retrospective Cohort Study https://t.co/XnXyWLP8Dj https://t.co/c417Vq12dB

1:50 PM · Jul 27, 2023

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RT @jmirpub: New in JMIR MedEdu: Evaluating the Applicability of Existing Lexicon-Based Sentiment Analysis Techniques on Family Medicine Re…

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