Longitudinal Sentiment Topic Modelling of Reddit Posts
Fabian Nwaoha, Ziyad Gaffar, Ho Joon Chun, Marina Sokolova
In this study, we analyze texts of Reddit posts written by students of four major Canadian universities. We gauge the emotional tone and uncover prevailing themes and discussions through longitudinal topic modeling of posts textual data. Our study focuses on four years, 2020-2023, covering COVID-19 pandemic and after pandemic years. Our results highlight a gradual uptick in discussions related to mental health.
cs.SI, cs.IR, I.2.7