Content Based Message Filtering For OSNS Using Machine Learning Classifier
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 9
Abstract
Online social networking(OSNs) sites like Twitter, Orkut, YouTube, and Face book are among the most popular sites on the Internet. Users of these web sites forms a social network, which provides a powerful means of sharing, organizing, and finding useful information .Unlike web information , the Online social networks (OSN) are organized around more number of users joins the network, shares their information and create the links to communicate with other online users. The resulting social network sites provides a basis for maintaining social relationships, for finding users with similar interests, and for locating content and knowledge that has been contributed or endorsed by other users. In OSNs information filtering can be used for avoiding the unwanted messages sharing or commenting on the user Walls. In this paper, we have proposed a system to filter undesired messages from OSN walls. The system exploits a machine learning soft classifier to enforce customizable content-dependent FRs. Moreover, the flexibility of the proposed system in terms of filtering options is enhanced through the management of BLs.
Authors and Affiliations
Hajiali Mohammed , T. Sukanya
Keywords
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