ALIADAArtificial Intelligence-based language applicationsfor the detection of aggressiveness in social networks

  1. José Alberto Mesa Murgado 1
  2. Flor Miriam Plaza-del-Arco 1
  3. Jaime Collado-Montañez 1
  4. L. Alfonso Ureña-López 1
  5. M. Teresa Martín-Valdivia 1
  1. 1 Departamento de Informática, CEATIC, Universidad de Jaén, España
Libro:
SEPLN-PD 2022: Annual Conference of the Spanish Association for Natural Language Processing 2022: Projects and Demonstrations
  1. Miguel A. Alonso (ed. lit.)
  2. Margarita Alonso-Ramos (ed. lit.)
  3. Carlos Gómez-Rodríguez (ed. lit.)
  4. David Vilares (ed. lit.)
  5. Jesús Vilares (ed. lit.)

Editorial: CEUR Workshop Proceedings

Año de publicación: 2022

Páginas: 39-43

Tipo: Capítulo de Libro

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Resumen

In this paper, we present a Web Application Platform for the Detection of Aggressiveness in Social Media usingNatural Language Processing and Machine Learning techniques, describing its architecture, the developmenttechnologies used and the different language models that have been integrated into the system. Finally, weconclude that the platform is a powerful tool to tackle real time aggressiveness on social media such as sexismor hate speech

Fuente de los datos: Dialnet