Toward Spotting the Pedophile Telling victim from predator in text chats

Authors:
Nick Pendar
Affiliations:
Iowa State University, USA
Venue:
ICSC '07 Proceedings of the International Conference on Semantic Computing
Year:
2007

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Abstract

This paper presents the results of a pilot study on using automatic text categorization techniques in identifying online sexual predators. We report on our SVM and k-NN models. Our distance weighted k-NN classifier reaches an f-measure of 0.943 on test data distinguishing the child and the victim sides of text chats between sexual predators and volunteers posing as underage victims.