The Detection of Sexual Harassment and Chat Predators Using Artificial Neural Network

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Abstract

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 Bidirectionallylong- 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%.

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APA

Hamzah, N. A., & Dhannoon, B. N. (2021). The Detection of Sexual Harassment and Chat Predators Using Artificial Neural Network. Karbala International Journal of Modern Science, 7, 301–312. https://doi.org/10.33640/2405-609X.3157

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