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Cyberbullying Detection via ML Techniques by SLDFLAG is a document available to read on EtoBox.

What is Cyberbullying Detection via ML Techniques about?

The document discusses detecting cyberbullying on social media using machine learning. It summarizes an existing system that uses keyword matching, opinion mining and social network analysis to detect cyberbullying with 79% precision and 71% recall. The proposed system classifies tweets and Wikipedia comments as containing cyberbullying or not using natural language processing techniques like tokenization, stemming, stop word removal and machine learning classifiers, achieving over 90% accuracy for tweets a

Author

SLDFLAG

Language

EN