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Sentiment Analysis Machine Learning Model Congruence: A Case Study Using Neuroscience Module Evaluations

Medical school faculty and administrators regularly assess sentiment in student‐generated textual data, such as instructor and course evaluations. Machine learning models (MLMs) that automate and systematize sentiment analysis are commercially available. However, the congruency of MLMs has not been extensively tested. We compare sentiment polarity derived from human analysis and five MLMs to test the hypothesis they yield significantly correlated output.