Main Article Content
Abstract
Social media is now a quintessential section of everyone’s life. Due to its exponential boom with rising activity of users, they have grown to be the supply of the ample amount of information prevailing on the internet. In online social networks, unsolicited mail profiles symbolize one of the most serious protection threats over the Internet. In this paper, a junk mail detection method is proposed to discover and stop unsolicited mail messages. In addition to the utilization of basic classifiers, social context points such as shares, likes, remarks (SLC) are additionally done.