One most serious issue in today's Online Social Networks (OSNs) is to give user ability to control the messages posted on their own private wall to avoid that unwanted content/messages is displayed. Till now OSNs provide little support to this requirement. Here in this paper we propose a system allowing OSNs user to have a direct control on the messages posted on their walls. This is achieved through a flexible rule based system, that allows users to modify their filtering criteria and we also implement a Machine Learning-based soft classifier dividing messages in different user specified groups.
Online social network, Machine Learning, short text classification, blacklist
