Email Classification using NLP and Machine Learning Techniques

Due to Exponential Growth of online user’s individual email accounts are been generally flooded with heap of emails. Most of the times it will be tedious job to individually read and classify these emails based on the desired classification protocol. Many methods are existing which are classifying the emails based on the host location and domain, this often results in unsatisfied outcomes, also there are several systems which use different AI techniques, algorithms like Statistical Bayesian , Naïve Bayes algorithm for classification of emails, but there is hardly any system developed so far to filter e-mails using the Fuzzy ANN. The drawback of existing classification systems is that they are not efficient enough, percentage of accuracy is low and are not capable of handling sarcasm. This paper proposes an approach towards building a model using NLP, Fuzzy ANN and machine learning techniques for classification of emails using pre-defined protocols. This model can be used in big data handling companies, news agencies and government offices.