vihanga-bandara/Spam-Detector-ML-NLP

This is a spam detection framework developed using machine learning, natural language processing and fuzzy logic which consists of three modules: spam detector module operating in real-time mode, drift detector module which will identify drifted spam tweets using NLP, and review and retrain module where the drifted spam tweets are reviewed and consequently will be used to re-train the tweet classifier. This system was developed for my final year thesis