Aggression Detection in Social Media from Textual Data Using Deep Learning Models

Autor: Umair Khan, Salabat Khan, Atif Rizwan, Ghada Atteia, Mona M. Jamjoom, Nagwan Abdel Samee

Publikováno v: Applied Sciences, Vol 12, Iss 10, p 5083 (2022)

It is an undeniable fact that people excessively rely on social media for effective communication. However, there is no appropriate barrier as to who becomes a part of the communication. Therefore, unknown people ruin the fundamental purpose of effec

Externí odkaz: https://doaj.org/article/4c85a97bd63f4939a2f58b292fa3e72f

An experimental study on feature engineering and learning approaches for aggression detection in social media

Autor: Antonela Tommasel, Dr,, Juan Manuel Rodriguez, Dr., Daniela Godoy, Dr.

Publikováno v: Inteligencia Artificial, Vol 22, Iss 63 (2019)

With the widespread of modern technologies and social media networks, a new form of bullying occurring anytime and anywhere has emerged. This new phenomenon, known as cyberaggression or cyberbullying, refers to aggressive and intentional acts aiming

Externí odkaz: https://doaj.org/article/93c69581afc546d58ceb7b85f61e6ad2

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An experimental study on feature engineering and learning approaches for aggression detection in social media

Autor: Juan Manuel Rodriguez, Daniela Godoy, Antonela Tommasel

Publikováno v: Inteligencia Artificial, Vol 22, Iss 63 (2019)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

With the widespread of modern technologies and social media networks, a new form of bullying occurring anytime and anywhere has emerged. This new phenomenon, known as cyberaggression or cyberbullying, refers to aggressive and intentional acts aiming

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e65104d31c0fc422160daa530c0e847a
https://doi.org/10.4114/intartif.vol22iss63pp81-100

Catching them red-handed: Real-time aggression detection on social media

Autor: Nicolas Kourtellis, Herodotos Herodotou, Despoina Chatzakou

Publikováno v: ICDE

The rise of online aggression on social media is evolving into a major point of concern. Several machine and deep learning approaches have been proposed recently for detecting various types of aggressive behavior. However, social media are fast paced

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::564f63b3772794aa04187e974b32804d
https://api.elsevier.com/content/abstract/scopus_id/85110895335