A Framework for Semantic Advertisement over Social Media

Social networking has become a reality with presence of manysites such as Facebook, Twitter etc. They facilitatate people tohave virtual communiies across the world and allow them to havecommunication through various means. Advertising in such websites can provide maximum benefits to the companies. This paperpresents a framework that supports semantic advertisement oversuch web sites based on the user preferences or favourites andinterests by performaing mining user’s interactions in the socialnetworking sites. Our framework can categorize socialnetworking users based on the topic exchanges in the networkand discover after mining the conversations as to which kind ofadvertisement can be placed in user’s pages automatically. Thusrelevant advertisements which are meaningful to users as pertheir interests can be placed so as to attract the users. Whencompared to traditional advertising methods, this methodimproves or promotes businesses more and the cost ofadvertisement can be lowered as well.