An Approach to Early Detection of Sexual Predators in Virtual Conversations

Abstract


This work proposes the development of three distinct strategies for early detection of sexual predators in internet conversations between two people. Conversations from the PAN 2012 database and algorithms such as SVM, Random Forest, KNN and BERT will be used. It is expected to overcome the state of the art and prove that the "Distinguish Predatory and General Conversations" strategy can achieve better results than the others.

Keywords: early detection of sexual predators, sexual predator detection, online predator identification, child sexual abuse, child grooming

References

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Published
2021-09-01
PANZARIELLO, Marcelle R.; XEXÉO, Geraldo. An Approach to Early Detection of Sexual Predators in Virtual Conversations. In: REGIONAL SCHOOL ON INFORMATION SYSTEMS OF RIO DE JANEIRO (ERSI-RJ), 7. , 2021, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 136-139.

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