Filtering Unwanted Messages from OSN User Wall Using Rule Based Techniques

  Mr. Akshay Bagal,  Prof. Shrinivas Gadage

The Online Social Network Provides a Platform to build Social networks and relationships among the people who wants to share information, news, interests and day to-day activities through the popular medium to communicate with each other. On OSN anyone can posts messages on their walls, where sometime peoples posts undesired or unwanted messages on users wall, so to prevent these unwanted messages. The system work is developed to prevent unwanted messages from osn walls to control the offensive, vulgar messages to be not posted on wall. The short text classification and text representation techniques are used to classify the contents of wall posts to categorize the messages. Using filtering rules on categorized messages, and different filtering criteria by defining categories of messages to be filtered and prevents the user from posting on wall. On the basis of these methodologies system develops a secure architecture to prevent the unwanted messages from OSN user wall and more flexible customizable system for efficient filtering techniques.

Keywords- Information Filtering (IF), Short text Classification, Filtering Rules (FRs), Content based filtering, offensive languages.

Unique Identification Number - IJEDR1601038
Page Number(s) - 216-222
Pubished in - Volume 4 | Issue 1 | February 2016
DOI (Digital Object Identifier) -    GHRCEM, Wagholi, Pune
Publisher - IJEDR (ISSN - 2321-9939)

  Mr. Akshay Bagal,  Prof. Shrinivas Gadage,   "Filtering Unwanted Messages from OSN User Wall Using Rule Based Techniques", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 1, pp.216-222, February 2016, Available at :http://www.ijedr.org/papers/IJEDR1601038.pdf