Abstrak

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Now a day’s one of the major problem in online social networks is filtering undesirable messages posted on user walls. OSN (Online Social Network) users have the ability to post and exchange information to their friends. But, theusers do not control the undesirable messages posted on their walls. In this paper we proposed the dominant approach to this problem is based on machine learning technique. It is ageneral inductive process automatically builds a classifier by learning from a set of preclassified documents and the characteristics of the categories.