FastThaiCaps: A Transformer Based Capsule Network for Hate Speech Detection in Thai Language

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dc.contributor.authorMaity, Krishanu
dc.contributor.authorBhattacharya, Shaubhik
dc.contributor.authorSaha, Sriparna
dc.contributor.authorJanoai, Suwika
dc.contributor.authorPasupa, Kitsuchart
dc.date.accessioned2026-08-06T10:40:02Z
dc.date.available2026-08-06T10:40:02Z
dc.date.issued2023-01-01
dc.description.abstractThe advent of technology has led to people sharing their views openly like never before. Parallelly, cyberbullying and hate speech content have also increased as a side effect that is potentially hazardous to society. While plenty of research is going on to detect online hate speech in English, there is very little research on the Thai language. To investigate how noisy Thai posts can be handled effectively, in this work, we have developed a two-channel deep learning model FastThaiCaps based on BERT and FastText embedding along with a capsule network. The input to one channel is the BERT language model, and that to the other is the pre-trained FastText embedding. Our model has been evaluated on a benchmark Thai dataset categorized into four categories, i.e., peace speech, neutral speech, level-1 hate speech, and level-2 hate speech. Experiments show that FastThaiCaps outperforms state-of-the-art methods by up to 3.11% in terms F1 score.
dc.identifier.citationLecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 13624 LNCS, 425-437, 2023
dc.identifier.doi10.1007/978-3-031-30108-7_36
dc.identifier.issn03029743
dc.identifier.other2-s2.0-85161679542
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14031
dc.sourceLecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
dc.subjectCapsule Network
dc.subjectFastText
dc.subjectHate Speech
dc.subjectThai
dc.subjectTransformer
dc.titleFastThaiCaps: A Transformer Based Capsule Network for Hate Speech Detection in Thai Language
dc.typeConference Paper

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