What is it about?
This study proposes an effective method for sexual predator identification in online chats based on two-stage classification and combining several classifiers to improve the performance. The experiment result on the PAN12 dataset shows that our method's score was 93.48% and would place as number one in the PAN12 competition ranking.
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Why is it important?
Cyber grooming is a compelling problem worldwide nowadays and many reports strongly suggested that it becomes very urgent to tackle this problem to protect children from sexual exploitation. Automatic sexual predator identification can be a promising solution to this issue since the number of online conversations is too large to be monitored manually.
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This page is a summary of: Ensemble Method for Sexual Predators Identification in Online Chats, April 2020, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/iwbf49977.2020.9107945.
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