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Longitudinal Sentiment Classification of Reddit Posts
January 22, 2024 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Fabian Nwaoha, Ziyad Gaffar, Ho Joon Chun, Marina Sokolova
arXiv ID
2401.12382
Category
cs.CL: Computation & Language
Cross-listed
cs.LG,
cs.SI
Citations
2
Venue
arXiv.org
Last Checked
5 months ago
Abstract
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.
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