Sentiment Analysis of Student Evaluations of Teaching
- 2.9k Downloads
We used a sentiment analysis tool, VADER (Valence Aware Dictionary and sEntiment Reasoner), to analyze Student Evaluations of Teaching (SET) of a single course from three different sources: official evaluations, forum comments from another course, and an unofficial “reviews” site maintained by students. We compared the positive and negative valences of these sites; identified frequently-used key words in SET comments and determined the impact on positivity/negativity of comments that included them; and determined positive/negative values by question on the official course SET comments. Many universities use similar questions, which may make this research useful for those analyzing comments at other institutions. Previous published studies of sentiment analysis in SET settings are rare.
KeywordsSentiment analysis Student evaluation of teaching Course evaluations Natural language processing
- 1.Baccianella, S., Esuli, A., Sebastiani, F.: SENTIWORDNET 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: Proceedings of the International Conference on Language Resources and Evaluation, LREC 2010, Valletta, Malta, 17–23 May 2010Google Scholar
- 2.Hutto, C.J., Gilbert, E.: Vader: a parsimonious rule-based model for sentiment analysis of social media text. In: Eighth International Conference on Weblogs and Social Media (ICWSM 2014)Google Scholar
- 5.Boring, A., Ottoboni, K., Stark, P.B.: Student evaluations of teaching (mostly) do not measure teaching effectiveness. ScienceOpen Res. 10 (2016)Google Scholar