Paper Title
Analysis Of Approaches For Filtering Messages On Social Networking Sites

With the increasing use of social networking sites privacy of the user become an utmost important issue .The social networking sites do provide some security for users where they can control and filter display of messages i.e. who can display messages on their confidential area which is generally called wall. This paper analyses mainly social networking sites such as Facebook ,twitter etc. Though these sites provide some extent of security the issue of what kind of messages will be displayed on the wall of a user is still remain. This Paper covers the approaches of content based filtering i.e. filtering of messages based on the text. OSN user walls is one of the approach covered. It provides classification mechanism for users to avert the data that is not meaningful for user. OSN thus enables users to self-regulate the messages posted on their area and to control the area whether private or public. The two important techniques to be used are rule-based system and a Ma- chine Learning classification which is used to decide filtering criteria on walls and data filtering. Keywords-Machine Learning, Rule-Based, OSN