A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts

• URL: http://arxiv.org/abs/2103.11528v1
• Date: Mon, 22 Mar 2021 00:55:47 GMT
• Title: A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
• Authors: Son T. Luu, Kiet Van Nguyen and Ngan Luu-Thuy Nguyen
• Abstract summary: ViHSD is 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.
• Score: 0.32228025627337864
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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.

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