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

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

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- shor...

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Bibliographic Details
Main Authors: Dhannoon, B.N (Author), Hamzah, N.A (Author)
Format: Article
Language:English
Published: University of Kerbala 2021
Subjects:
Deep learning
Natural Language Processing
Sentiment Analysis
Sexual Predators
Word embedding
XGBoost
Online Access:View Fulltext in Publisher
Description
Summary: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%. © 2021 University of Kerbala.
ISBN:2405609X (ISSN)
DOI:10.33640/2405-609X.3157

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