Recognition and Classification of Hate Messages

• Autores: Paredes Neira, Patrick Leopoldo, Vilca Tapia, Gary Jamil, Lazarte Zubia, Kristhyan Andree Kurt
• Formato: artículo
• Fecha de Publicación: 2023
• Institución: Universidad La Salle
• Repositorio: Revistas - Universidad La Salle
• Lenguaje: español
• OAI Identifier: oai:ojs.revistas.ulasalle.edu.pe:article/99
• Enlace del recurso: https://revistas.ulasalle.edu.pe/innosoft/article/view/99; https://doi.org/10.48168/innosoft.s12.a99; https://purl.org/42411/s12/a99; https://n2t.net/ark:/42411/s12/a99
• Nivel de acceso: acceso abierto
• Materia: Hate; HateCheck; Hate Speech Detection Models; NLP; Natural Language Processing; Hate Speech; Spanish Processing; Odio; Modelos de Detección del Discurso de Odio; Procesamiento del Lenguaje Natural; Discurso de Odio; Procesamiento del Español

The massive use of social networks and the anonymity that this provides has made possible not only the immediate communication between users, but also the spread of hate speech against certain groups of our society in the form of offensive messages to them, this has led to a serious social problem, which remains a topic of current research along with NLP. The purpose of the present work is to make a comparison of our "HateCheck" recognition model against the author's results, using the same database as them. To do so, we will make use of the main metrics such as: precision, recall and F1.