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

Patricia Chiril (1) , Farah Benamara (1, 2) , Véronique Moriceau (1, 2) , Kumar Abhishek (3)

1 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
2 UT3 - Université Toulouse III - Paul Sabatier
3 IISc Bangalore - Indian Institute of Science [Bangalore]

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.

Mots clés: Speech detection

Domaines: Intelligence artificielle [cs.AI]; Traitement du texte et du document

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⟩