LT3 at SemEval-2019 Task 5 : multilingual detection of hate speech against immigrants and women in Twitter (hatEval)
| Autor: | Nina Bauwelinck, Gilles Jacobs, Veronique Hoste, Els Lefever |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Training set
Computer science business.industry media_common.quotation_subject Immigration LT3 02 engineering and technology computer.software_genre Variety (linguistics) Syntax SemEval Languages and Literatures Task (project management) 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing media_common |
| Zdroj: | Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019) SemEval@NAACL-HLT |
| Popis: | This paper describes our contribution to the SemEval-2019 Task 5 on the detection of hate speech against immigrants and women in Twitter (hatEval). We considered a supervised classification-based approach to detect hate speech in English tweets, which combines a variety of standard lexical and syntactic features with specific features for capturing offensive language. Our experimental results show good classification performance on the training data, but a considerable drop in recall on the held-out test set. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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