Look at emotion lexicon approach

[divilian]

Give these two papers a read and figure out what exactly doing and whether we might benefit from incorporating such an approach:

• Mohammad, S.M., Turney, P.D., 2010. Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon, in: Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text, Association for Computational Linguistics. pp. 26–34.

• Mohammad, S.M., Turney, P.D., 2013. Crowdsourcing a word–emotion association lexicon. Computational Intelligence 29, 436–465.

[divilian]

Possibly look at Zotero paper "Ranganathan, J., & Tzacheva, A. (2019). Emotion Mining in Social Media Data. Procedia Computer Science, 159, 58–66. https://doi.org/10.1016/j.procs.2019.09.160" for context and help.