A Combine Model for Email Classification in Hindi Language using Supervised Learning (NB, K-NN, DT, SVM)

Abstract

Email communication is necessary in today's environment, yet unwanted emails create issue in such communication. The current study focuses on developing an Email classification model for the use of classifiers approaches. The goal of this research is to classification of emails based on features. For classification especially in Hindi language of the email dataset Different machine learning classifiers such as Naïve Bayes, Decision Tree, K-Nearest Neighbor and Support Vector Machine used in research work as well as we used combined model also for optimum accuracy.