Detección del odio contra inmigrantes y mujeres en comentarios de redes sociales
Fecha
2020-11-18
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Jaén: Universidad de Jaén
Resumen
En este trabajo se ha realizado un sistema de detección de discurso de odio en español en redes sociales contra
grupos más vulnerables como son las mujeres e inmigrantes. En primer lugar, se ha realizado un estudio de los
sistemas ya existentes y porteriormente, se ha desarrollado el propio sistema que trata de un clasificador binario
del discurso de odio. Por ultimo, se ha desarrollado una aplicación web que permite al usuario interactuar con el
clasificador.
In this work, a system has been developed to detect hate speech in Spanish in social networks against more vulnerable groups such as women and immigrants. Firstly, a study of the existing systems has been carried out and, subsequently, the system itself has been developed which deals with a binary classifier of hate speech. Finally, a web application has been developed that allows the user to interact with the classifier.
In this work, a system has been developed to detect hate speech in Spanish in social networks against more vulnerable groups such as women and immigrants. Firstly, a study of the existing systems has been carried out and, subsequently, the system itself has been developed which deals with a binary classifier of hate speech. Finally, a web application has been developed that allows the user to interact with the classifier.