Development of a Machine Learning-Based Sentiment Analysis Model for Faculty Evaluation in Higher Education
Higher education institutions in the Philippines collect faculty evaluation data every semester, yet the qualitative, open-ended comments generated by students remain largely unprocessed and unanalyzed. These narrative responses carry nuanced instructional insights that structured rating scales cannot fully capture. Th...