The vast increase in using social media sites like Twitter and Facebook led to frequent sexual_harassment on the Internet, which is considered a major societal problem. This paper aims to detect sexual_harassment and cyber_predators in early phase. We used deeplearning like Bidirectionally-long-short-term memory. Word representations are carefully reviewed in text specific to mapping to real number vectors. The chat sexual predators Detection_approach with the proposed_model. The best results obtained by the performance measured with F0.5-score were the result is_0.927 with proposed_models. The accuracy measured is_97.27% in the proposed_model. The comments sexual_harassment Detection_approach the result is_0.925 F0.5-score, and accuracy measured is_99.12%.
Hamzah, Noor Amer and Dhannoon, Ban N.
"The Detection of Sexual Harassment and Chat Predators Using Artificial Neural Network,"
Karbala International Journal of Modern Science: Vol. 7
, Article 6.
Available at: https://doi.org/10.33640/2405-609X.3157
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