Email Spam Classification Using Machine Learning Algorithms
P. Vishnu Raja, K Sangeetha, G. SuganthaKumar, R.Varun Madesh, N.K.K. Vimal Prakash · 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) · 2022
Email is the easiest way to communicate worldwide today. To get e-mail junk mail, the preceding set of rules compares every e-mail message with junk mail records earlier than generating receivers. In the project, an electronic mail acquisition machine primarily based totally on SVM development has been advocated and more NB is used in the proposed system. With word spreads, the length of the word meaning, the proportion of word stops can also be seen. To highlight the electronic mail junk mail trend, a singular version that enhances the arbitrary production of the detector of SVM and NB algorithm using both spam and non-spam spaces. Theater analysis and test results show that the performance detection of the enhanced SVM and NB is higher.