LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without using linguistic features

This work aims to evaluate the ability that both probabilistic and state-of-the-art vector space modeling (VSM) methods provide to well known machine learning algorithms to identify social network documents to be classified as aggressive, gender biased or communally charged. To this end, an explorat...

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Veröffentlicht in:	arXiv.org 2021-12
Hauptverfasser:	Cuéllar-Hidalgo, Rodrigo, de Jesús Guerrero-Zambrano, Julio, est, Dominic, Reyes-Salgado, Gerardo, Torres-Moreno, Juan-Manuel
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Gender Machine learning Modelling Multilingualism Probabilistic methods Social networks Vector space
Online-Zugang:	Volltext
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