Spam Detection using Natural Language Processing
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 5
Abstract
Abstract: Spam mails can be referred as unsolicited bulk email. These messages are used to advertise products and services for phishing purposes or to lead recipients to malicious sites with unethical intentions. Althoughnumerous techniques to block spam e-mails have been developed, we still receive them quite often. The reason behind this is mainly ability of the spammers to manipulate the filters. Therefore we present a method based on Natural Language Processing (NLP) for the filtration of spam emails in order to enhance online security. The technique presented in this paper is a stepwise approach which blocks spam emails based on the sender as well as the content of the mail.
Authors and Affiliations
Rohit Giyanani , Mukti Desai
Keywords
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