✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.
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Updated
Sep 17, 2021 - CSS
✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.
A social media platform that you can trust.
WACc is an AI program aimed at educating people to take action against any form of Cyber-Crime and Cyberbullying.
Empower online spaces with TextSecureAI – an innovative Cyberbullying Detection project. Utilizing advanced sentiment analysis, Naive Bayes, and SVM, this system ensures swift identification of hate speech on Twitter. Achieving 95% precision, it's a formidable guardian against online toxicity. Join us in creating a safer digital world! 🌐🛡️
With the latest technologies cyberbullying should be a thing of the past. With this project it actually is.
Deep Learning Model for Factor Detection Task of Cyberbullying
Web app that checks if a user's tweets are aggressive or not.
Cyberbullying Detection in Social Media Using Supervised ML & NLP Techniques
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