Phonetic detection for Hate Speech Spreaders on Twitter
Fecha
2021-09Registro en:
Puertas, E., Martinez-Santos, J.C. Phonetic detection for Hate Speech Spreaders on Twitter
(2021) CEUR Workshop Proceedings, 2936, pp. 2118-2125.
16130073
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
Autor
Puertas, Edwin
Martinez-Santos, Juan Carlos
Resumen
Nowadays, hate messages have become the object of study on social media. Efficient and effective detection of hate profiles requires various scientific disciplines, such as computational linguistics and sociology. Here, we illustrate how we used lexical and phonetic features to determine if the author spreads hate speech. This article presents a novel strategy for the characterization of the Twitter profile based on the generation of lexical and phonetic user features that serve as input to a set of classifiers. The results are part of our participation in the PAN 2021 in the CLEF in the task of Profiling Hate Speech Spreaders on Twitter