Longitudinal Sentiment Classification of Reddit Posts
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916103216693248 |
|---|---|
| author | Nwaoha, Fabian Gaffar, Ziyad Chun, Ho Joon Sokolova, Marina |
| author_facet | Nwaoha, Fabian Gaffar, Ziyad Chun, Ho Joon Sokolova, Marina |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_12382 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Longitudinal Sentiment Classification of Reddit Posts Nwaoha, Fabian Gaffar, Ziyad Chun, Ho Joon Sokolova, Marina Computation and Language Machine Learning Social and Information Networks I.2.6 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. |
| title | Longitudinal Sentiment Classification of Reddit Posts |
| topic | Computation and Language Machine Learning Social and Information Networks I.2.6 |
| url | https://arxiv.org/abs/2401.12382 |