The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets - Laboratoire Interdisciplinaire des Sciences du Numérique
Communication Dans Un Congrès Année : 2019

The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets

Résumé

The massive growth of user-generated web content through blogs, online forums and most notably, social media networks, led to a large spreading of hatred or abusive messages which have to be moderated. This paper proposes a supervised approach to hate speech detection towards immigrants and women in English tweets. Several models have been developed ranging from feature-engineering approaches to neural ones.

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Dates et versions

hal-02951036 , version 1 (28-09-2020)

Identifiants

Citer

Patricia Chiril, Farah Benamara, Véronique Moriceau, Kumar Abhishek. The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets. 13th International Workshop on Semantic Evaluation (SemEval 2019), Jun 2019, Minneapolis, United States. pp.489-493, ⟨10.18653/v1/S19-2087⟩. ⟨hal-02951036⟩
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