In recent years, Vietnam witnesses the mass development of social network users on different social platforms such as Facebook, Youtube, Instagram, and Tiktok. On social medias, hate speech has become a critical problem for social network users. To solve this problem, we introduce the ViHSD - a human-annotated dataset for automatically detecting hate speech on the social network. This dataset contains over 30,000 comments, each comment in the dataset has one of three labels: CLEAN, OFFENSIVE, or HATE. Besides, we introduce the data creation process for annotating and evaluating the quality of the dataset. Finally, we evaluated the dataset by deep learning models and transformer models.
A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
A human-annotated dataset named ViHSD for detecting hate speech on social media is introduced and evaluated using deep learning and transformer models.
- Year
- 2021
- Venue
- arXiv 2021
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- 3
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- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/2103.11528v4ARXIV-DEFAULT
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