Sentiment Analysis in MOOC Discussion Forums: What does it tell us?

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Equity Beyond Bias in Language Technologies for Education (2019, background): “In text-only settings online, sentiment has been a key part of prediction of attrition rates in MOOCs (Yang et al., 2013; Wen et al., 2014), especially when combined with micro-level instantaneous data like clickstream events (Crossley et al., 2016).”
Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach (2020, methodology): “Similarly, Wen et al [71] employed sentiment analysis on MOOC discussion forums.”
Mining Big Data in Education: Affordances and Challenges (2020, methodology): “In MOOC settings, Wen et al. (2014) utilized discussion forum data in Coursera courses to examine learners’ sentiment toward the courses and to identify the relationships between sentiment and course dropout.”
Computational Sociolinguistics: A Survey (2016, background): “…online discussion forums have been analyzed, including online cancer support communities (Nguyen and Rosé 2011; Wang, Reitter, and Yen 2014), a street gang forum (Piergallini et al. 2014), and more recently discussion forums in Massive Open Online Courses (MOOCs) (Wen, Yang, and Rosé 2014b, 2014a).”