Longitudinal Sentiment Classification of Reddit Posts
Computation and Language
2024-01-24 v1 Machine Learning
Social and Information Networks
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.
Keywords
Cite
@article{arxiv.2401.12382,
title = {Longitudinal Sentiment Classification of Reddit Posts},
author = {Fabian Nwaoha and Ziyad Gaffar and Ho Joon Chun and Marina Sokolova},
journal= {arXiv preprint arXiv:2401.12382},
year = {2024}
}
Comments
11 pages, 10 figures, 4 tables