Enhancement in Student Learning and Teaching Quality using Sentiment Analysis

NLP and ML can be applied to student feedback to help university administrators address problematic areas in teaching and learning. The proposed system analyzes student comments from both course surveys and online sources to identify sentiment polarity, emotions expressed, and satisfaction versus dissatisfaction. A comparison with direct-assessment results demonstrates the system's reliability.

Speaker(s)

, Research Scholar, Thapar Institute of Engineering and Technology