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Título del libro: Coling 2018 - 1st Workshop On Trolling, Aggression And Cyberbullying, Trac 2018 - Proceedings Of The Workshop
Título del capítulo: Cyberbullying Detection Task: The EBSI-LIA-UNAM system (ELU) at COLING?18 TRAC-1

Autores UNAM:
IGNACIO ARROYO FERNANDEZ; JUAN MANUEL TORRES MORENO;
Autores externos:

Idioma:

Año de publicación:
2018
Palabras clave:

Learning systems; Vector spaces; Chat rooms; Competing systems; Cyber bullying; Detection tasks; Learning machines; Model method; Multiple vectors; State of the art; Training and development; Vector space models; Computer crime


Resumen:

The phenomenon of cyberbullying has growing in worrying proportions with the development of social networks. Forums and chat rooms are spaces where serious damage can now be done to others, while the tools for avoiding on-line spills are still limited. This study aims to assess the ability that both classical and state-of-the-art vector space modeling methods provide to well known learning machines to identify aggression levels in social network cyberbullying (i.e. social network posts manually labeled as Overtly Aggressive, Covertly Aggressive and Non-aggressive). To this end, an exploratory stage was performed first in order to find relevant settings to test, i.e. by using training and development samples, we trained multiple learning machines using multiple vector space modeling methods and discarded the less informative configurations. Finally, we selected the two best settings and their voting combination to form three competing systems. These systems were submitted to the competition of the TRACK-1 task of the Workshop on Trolling, Aggression and Cyberbullying. Our voting combination system resulted second place in predicting Aggression levels on a test set of untagged social network posts. © COLING 2018 - 1st Workshop on Trolling, Aggression and Cyberbullying, TRAC 2018 - Proceedings of the Workshop.


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