Abstract. This paper presents classification tools to detect hate speech topics using NLP tools in four different languages (Italian, Spanish, Germany, English) using the selected case-law from national and international jurisdiction. The research is conducted inside the FAST-LISA European project with the aim to classify the hate speech in online public debate.
Multilevel Hate Speech Classification Based on Multilingual Case-Law / Palmirani, Monica; Catizone, Chiara; Venditti, Giulia; Sapienza, Salvatore. - ELETTRONICO. - (2023), pp. 317-322. [10.3233/FAIA230981]
Multilevel Hate Speech Classification Based on Multilingual Case-Law
Palmirani, Monica
;Catizone, Chiara;Venditti, Giulia;Sapienza, Salvatore
2023
Abstract
Abstract. This paper presents classification tools to detect hate speech topics using NLP tools in four different languages (Italian, Spanish, Germany, English) using the selected case-law from national and international jurisdiction. The research is conducted inside the FAST-LISA European project with the aim to classify the hate speech in online public debate.File in questo prodotto:
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