EM CLASSIFIER
International Research Journal of Modernization in Engineering Technology and Science · 2023
Email classification is an essential undertaking in the present computerized correspondence.It assists with arranging and classifying messages in light of their substance and reason.This means to foster an AI and Machine Learning based email classification framework that precisely sorts messages into predefined classes like spam and not spam.The framework will be prepared on an assorted dataset of email content to gain proficiency with the examples that recognize various classifications of messages.The framework will be assessed in light of its exactness, accuracy and will be contrasted with different existing email grouping algorithms to show its viability and proficiency.These strategies are looked at regarding accuracy, fully intent on tracking down the best technique.The Naive Bayes along with several other algorithms like Random Forest, XG Boost and others are utilized in this work to ensure that the circumstances are met with at least preparation and that the outcomes are more exact.In NB Classifier, free words are considered as highlights.This venture will add to the progression of email grouping frameworks and improve the general client experience in emailing the board.