• Sandhya Dhakane
• Apurva Badgujar
• Sohel Bagwan
• Pooja Gawali
• Prof. Bharti Kudale

Currently, E-mail is one in all the foremost necessary methods of communication. However, the increasing of spam emails causes holdup, decreasing productivity, phishing, that has become a heavy drawback for our society. And the variety of spam e-mail is increasing per annum. Therefore, spam e-mail filtering is a vital, meaningful and difficult topic. The aim of this analysis is to seek out associate effective resolution to filter doable spam e-mails. And as we know, in recent days, there are several techniques that spammers use to avoid spam-detection like obfuscation techniques. In this case, the subsequent projected approach uses email content only to create keyword corpus, Alongside some text process to handle obfuscation technique. The rule was evaluated using the CSDMC2010 SPAM corpus dataset that contained4327 emails within the coaching dataset and 4292 emails within the testing dataset. The experimental results show that the projected algorithm has ninety-two.8% accuracy.

Spam E-mail, Ham E-mail, Keyword Corpus, Spam E-mail Filtering

"Content Based Spam E-mail Filtering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.679-682, May-2019, Available :http://www.jetir.org/papers/JETIR1905Q98.pdf

"Content Based Spam E-mail Filtering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp679-682, May-2019, Available at : http://www.jetir.org/papers/JETIR1905Q98.pdf