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 2010
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)
3. Marsh, H.W., Roche, L.A.: Making students’ evaluations of teaching effectiveness effective: the critical issues of validity, bias, and utility. Am. Psychol. 52(11), 1187 (1997)
4. Uttl, B., White, C., Gonzalez, D.: Meta-analysis of faculty’s teaching effectiveness: student evaluation of teaching ratings and student learning are not related. Stud. Educ. Eval. 54, 22–42 (2017)
5. Boring, A., Ottoboni, K., Stark, P.B.: Student evaluations of teaching (mostly) do not measure teaching effectiveness. ScienceOpen Res. 10 (2016)