Student emotions, bad professors, and course ratings

Summary:

This paper analyses the relationship between student emotions, professors' bad performance, and course ratings and difficulty.

Description of variables in the Results replication file, in Rdata format. 975,860 observations (rows). Raw data scraped from ratemyprofessors.com

- rev - textual student review

- rat - course rating (1-5)

- dif - course perceived difficulty (1-5)

- uname - University name

- emo - emotion with the highest score

- action_zs - professor bad performance with the highest probability calculated by zero-shot classification (DistilBERT model available at https://huggingface.co/typeform/distilbert-base-uncased-mnli)

- sadness_sc - sadness emotion score calculated by DistilBERT model trained on Twitter corpus (available at https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion)

- similar for the other five basic emotions

- nwords - number of words in the review

- m, y - month and year when the review was written