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What is AI Spam Detection Using Transformers about?

This research presents an AI-based spam detection and threat analysis system that utilizes machine learning, deep learning, and transformer models to combat modern cyber threats like spam and phishing. The study demonstrates that transformer models, particularly BERT, achieve superior accuracy in threat detection compared to traditional rule-based systems. The proposed hybrid approach significantly enhances threat identification while reducing false positives, making it suitable for real-world applications.

Author

kritikasiddhasar

Language

EN