Hate Speech Detection in Thai Social Media with Ordinal-Imbalanced Text Classification
| dc.contributor.author | Pasupa, Kitsuchart | |
| dc.contributor.author | Karnbanjob, Werasut | |
| dc.contributor.author | Aksornsiri, Massakorn | |
| dc.date.accessioned | 2026-08-06T10:35:11Z | |
| dc.date.available | 2026-08-06T10:35:11Z | |
| dc.date.issued | 2022-01-01 | |
| dc.description.abstract | Cyberbullying has become a serious problem in Thai social media. For example, some Thai people posted hate speeches on Myanmar workers in Thailand during the COVID-19 pandemic, which might elevate hate crime. It is imperative and urgent to detect cyberbullying on Thai social media. The task is a text classification problem. Moreover, hate speeches contain the order of severity levels, but many pieces of work did not consider this point in the model. Therefore, we developed a Thai hate-speech classification method with various loss functions to detect such hate speeches accurately. We evaluated them on a corpus of ordinal-imbalanced Thai text. The evaluated outcomes indicated that the best-in terms of $F$1 -score-model was the model with a loss function of a hybrid between an Ordinal regression loss function and Pearson correlation coefficients (common in similarity function). It yielded an average F1-score of 78.38 %-0.88 % significantly higher than the score achieved by a conventional loss function-and an average mean squared error of 0.2478-5.49 % relative improvement. Thus, the proposed hybrid loss function improved the efficiency of the model. | |
| dc.identifier.citation | 2022 19th International Joint Conference on Computer Science and Software Engineering Jcsse 2022, 2022 | |
| dc.identifier.doi | 10.1109/JCSSE54890.2022.9836312 | |
| dc.identifier.other | 2-s2.0-85136202488 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/12724 | |
| dc.source | 2022 19th International Joint Conference on Computer Science and Software Engineering Jcsse 2022 | |
| dc.subject | Deep Learning | |
| dc.subject | Hybrid Loss Function | |
| dc.subject | Imbalanced Data | |
| dc.subject | Natural Language Processing | |
| dc.subject | Text Classification | |
| dc.title | Hate Speech Detection in Thai Social Media with Ordinal-Imbalanced Text Classification | |
| dc.type | Conference Paper |