Computer Engineering, India
Online published on 21 November, 2017.
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