Longitudinal Sentiment Classification of Reddit Posts
Nwaoha, Fabian, Gaffar, Ziyad, Chun, Ho Joon, Sokolova, Marina
–arXiv.org Artificial Intelligence
We report results of a longitudinal sentiment classification of Reddit posts written by students of four major Canadian universities. We work with the texts of the posts, concentrating on the years 2020-2023. By finely tuning a sentiment threshold to a range of [-0.075,0.075], we successfully built classifiers proficient in categorizing post sentiments into positive and negative categories. Noticeably, our sentiment classification results are consistent across the four university data sets.
arXiv.org Artificial Intelligence
Jan-22-2024
- Country:
- Oceania > New Zealand
- North Island > Waikato (0.04)
- North America > Canada
- Ontario > Toronto (0.14)
- Quebec > Montreal (0.04)
- British Columbia (0.04)
- Oceania > New Zealand
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- Research Report > New Finding (0.33)
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- Media > News (0.65)
- Health & Medicine > Therapeutic Area
- Psychiatry/Psychology (0.72)
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