A Review on Customizable Content-Based Message Filtering from OSN User Wall?

Online Social Networks enables its users to keep in touch with friends by exchanging several type of content including text, audio and video data. Users of these sites do not have much control to avoid unwanted content to be displayed on their own private space called in general wall. Therefore a major task of today’s online social network is information filtering. Using machine learning approach and a rule based system, text classification and customization of filtering criteria to be applied on user’s wall is to be achieved. From this survey, we will be able to see the challenges in short text classification and filtering criteria that should be considered while publishing messages on user wall.