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Enhancing Online Security: A Cyberbullying Detection and Prevention System for Monitoring Abusive Language
Abstract
Cyberbullying is the use of technology to harass, threaten, embarrass, or target another person. Cyberbullying is a growing problem in our digital age, and it can have severe consequences for victims. Online bullying can be particularly damaging and upsetting because it's usually anonymous or hard to trace. It's also hard to control, and the person being victimized has no idea how many people have seen the messages or posts. They can be easier to commit than other acts of bullying because the bully doesn't have to confront their target in person. Detecting cyberbullying and preventing it is crucial in creating a safe online environment for all. The work involves the use of natural language processing and sentiment analysis to find abusive language and negative sentiment in online conversations. Before the comment is posted the detected instances of cyberbullying can be warned to the sender and prevented from being sent in a conversation.
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