A Customizable Content Based System to Filter Unwanted Messages from OSN User Wall?Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 8)
Publication Date: 2014-08-30
Authors : Mayuri Uttarwar; Pragati Patil; Yogesh Bhute;
Page : 653-661
Keywords : Online Social Network; Customized filtering rule; Machine learning technique;
Today’s online social networks have become a fairly common way to keep in touch with friends and family. The potential of this enhanced connectivity is very huge however the negative impacts are quite evident. Cyber bullying due to online social network (OSN) is also on rise therefore the need of present situation is not only to avoid unwanted wall post but also to avoid undesired creator. In this paper we have presented a system which prevents unwanted messages to get published on OSN user wall and at the same time messages from undesired creator can get blocked as well. Additionally we are implementing a strategy to blacklist user on a tentative or permanent basis with respect to bad post he wishes to post on OSN user wall. A machine learning technique and a customized filtering rule is used for this purpose.
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Last modified: 2014-08-31 20:27:12