• Navin Raj

Introduction This main project entitled “A SYSTEM TO FILTER OSN USERWALLS” is a web-based service that allows individuals to construct a public or semi-public profile within the service, Articulate a list of other users with whom they share a connection and View and traverse their list of connections and those made by others within the service. The main goal of the system is to design an online message filtering system that is deployed at the OSN service provider side. Once deployed, it inspects every message before rendering the message to the intended recipients and makes immediate decision on whether or not the message under inspection should be dropped. The aim of the present work is therefore to propose and experimentally evaluate an automated system, called Filtered Wall (FW), able to filter unwanted messages from OSN user walls. We exploit Machine Learning (ML) text categorization techniques to automatically assign with each short text message a set of categories based on its content. First the message is filtered with filtering rules. Filtering rules (FR) give the result of ML categorization process, which filter the user wall and relationship of user. Further Blacklist is also supported by the system, it can be said as users who post the unwanted message will be kept in blacklist for particular period of time. By using this rule, OSN is provided with more security.

A SYSTEM TO FILTER OSN USERWALLS

"A SYSTEM TO FILTER OSN USERWALLS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.249-257, April-2018, Available :http://www.jetir.org/papers/JETIR1804049.pdf

"A SYSTEM TO FILTER OSN USERWALLS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp249-257, April-2018, Available at : http://www.jetir.org/papers/JETIR1804049.pdf