Automatic classification of text with grooming intent in different instant messaging services

Volume 20 No 6 (2022)

Byron Wladimir Oviedo Bayas, Paúl André Romero Alvarado , John Gerald Bonifaz Burgos ,Luis Enrique Sánchez Zamora

DOI: 10.14704/nq.2022.20.6.NQ22146

Abstract

Today, social networks represent the daily lives of millions of people around the world. Among the most popular social networks are Facebook, Instagram, Twitter, Telegram, and WhatsApp among many others that officially provide service to billions of monthly customers. Although these social networks present many benefits to their users, they also present added risks, such as cyberbullying, grooming, or any crime of this category that uses the Internet as a means of attack

Keywords

Machine learning, online sexual harassment, Support Vector Machines, Automatic classification, social networks.

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