✅ 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.
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.
Web app that checks if a user's tweets are aggressive or not.
Deep Learning Model for Factor Detection Task of Cyberbullying
This is an NLP project used to predict disaster tweets or not.
Cyberbullying Detection in Social Media Using Supervised ML & NLP Techniques
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