Content based mechanism for social network using MAchine learning

Online social network(OSN) plays a fundamental role in today’s life. Users can share and upload large amount of information which is related to them. So major issue is to provide security for posting unwanted posts. OSN provides the provision to control undesired messages to be posted on the user’s wall. User can avoid undesired posts to be shown. We are proposing a system which has direct control over the messages posted on user wall that system is known as Filtered Wall(FW). FW allows users to apply set of �ltering rules to control the posts. And the flexibility of the system in terms of filtering criteria is improved through the Blacklists and Whitelist. Concept of Whitelist is also used in this paper to provide more security. Machine Learning Text Categorization technique is used to classify short text messages. In this paper we use Naive Bayesian algorithm for text classification techniques.