An Analysis on Email Classification on Hindi Language using Bayesian Classifier

Abstract

Spam messages are one of the most important problems on the Internet today, costing businesses money and causing frustration to individual users. Spam filtering can assist with the issue in a variety of ways. The classifier-related challenges have been the focus of several spam filtering studies. Machine learning for a spam classification is now a significant research topic. The application of various machine learning techniques for categorizing spam messages from e-mail is investigated and identified in this research. Finally, with spam categorization, a comparative study of the algorithms has been presented.