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The vast increase in using social media sites like Twitter and Facebook led to frequent sexualₕarassment on the Internet, which is considered a major societal problem. This paper aims to detect sexualₕarassment and cyberₚredators 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 Detectionₐpproach with the proposedₘodel. The best results obtained by the performance measured with F0. 5-score were the result is₀. 927 with proposedₘodels. The accuracy measured is₉7. 27% in the proposedₘodel. The comments sexualₕarassment Detectionₐpproach the result is₀. 925 F0. 5-score, and accuracy measured is₉9. 12%.
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Hamzah et al. (Mon,) studied this question.
www.synapsesocial.com/papers/6968581a2a893d438182e3f6 — DOI: https://doi.org/10.33640/2405-609x.3157
Noor Amer Hamzah
Ban N. Dhannoon
Karbala International Journal of Modern Science
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