AI for Hate Speech Detection in Social Media

The main goal of this work focuses on solving the problem of analyzing the data coming from Social Media and exploring the mechanisms for the extraction and representation of knowledge from all the different disciplines outside the world of information Technologies. Soft Computing and Big Data techn...

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Detalles Bibliográficos
Autores principales: Montoro, Andrés, Olivas, José A., Nieto, Adan
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Informáticas
Soft Computing
Fuzzy Logic
Computing with words
Social Me­dia Mining
Big Data
Text Mining
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/104838
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
Descripción
Sumario:The main goal of this work focuses on solving the problem of analyzing the data coming from Social Media and exploring the mechanisms for the extraction and representation of knowledge from all the different disciplines outside the world of information Technologies. Soft Computing and Big Data techniques are used to deal with the challenges mentioned. This paper shows a mechanism to detect hate speech in Social Media using Soft Computing and Sentiment Analysis, and it also stablishes the base of a doctoral thesis.

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