Spam Detection System Using Supervised ML
B Abhila, Delphin Periyanayagi M, M Koushika, Mabel Nirmala Joseph, Ramasamy Dhanalakshmi · 2021 International Conference on System, Computation, Automation and Networking (ICSCAN) · 2021
Spam is one of the major problems around the world today. To resolve this problem, different spam filtering techniques and approaches were used. in our proposed system, we are using a Naïve Bayesian classifier, a content-based technique for classifying the spam from the consistent messages or emails using a Supervised Machine learning algorithm. Naive Bayesian is one of the familiar methods of spam classification because of its efficiency and simplicity. This application will detect the message as Spam or not spam and convey the result to the user.