Recognition and Classification of Hate Messages
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,...
| Authors: | , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2023 |
| Country: | Perú |
| Institution: | Universidad La Salle |
| Repository: | Revistas - Universidad La Salle |
| Language: | Spanish |
| OAI Identifier: | oai:ojs.revistas.ulasalle.edu.pe:article/99 |
| Online Access: | 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 |
| Access Level: | Open access |
| Keyword: | 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 |
| Summary: | 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. |
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