An Approach to Email Classification Using Bayesian Theorem

Authors

  • Denil Vira

  • Dr. Denil Vira

  • Pradeep Raja

Keywords:

Bayesian, Email classification, tokens, text, probability, keywords

Abstract

Email Classifiers based on Bayesian theorem have been very effective in Spam filtering due to their strong categorization ability and high precision. This paper proposes an algorithm for email classification based on Bayesian theorem. The purpose is to automatically classify mails into predefined categories. The algorithm assigns an incoming mail to its appropriate category by checking its textual contents. The experimental results depict that the proposed algorithm is reasonable and effective method for email classification.

How to Cite

Denil Vira, Dr. Denil Vira, & Pradeep Raja. (2012). An Approach to Email Classification Using Bayesian Theorem. Global Journal of Computer Science and Technology, 12(C13), 57–60. Retrieved from https://computerresearch.org/index.php/computer/article/view/599

An Approach to Email Classification Using Bayesian Theorem

Published

2012-03-15