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Review on Classification Algorithms in Email Domain

Email classification has been one of the most favourite areas of TEXT Classification (TC) for researchers’ of all time, and many of classification algorithms such as Bayesian Theorem, SVM, Neural Network, etc. have been applied to this domain extensively. There had been a variety of classification techniques used for email categorization including both supervised and unsupervised. Along with the range of TC algorithms the use of email features also varied accordingly. In this review paper we have summarized some of the works done in this area and compared different algorithms. We discuss some of these algorithms in our paper and compare their results based on the accuracy of each.