An online tool for analyzing written student feedback

Collecting student feedback is commonplace in universities. Feedback surveys usually have both open-ended questions and Likert-type questions, but the answers to open questions tend not to be analysed further than simply reading them. This paper presents a tool for analyzing written student feedback using topic modeling and emotion analysis. We demonstrate the utility of this tool using course survey responses from a software engineering (SE) programme.