Paper Title
Content-Based Filtering Of Messages From Social Network User Wall

Nowadays, internet is spreading worldwide. One of the main purpose of use of internet is online social networks (OSNs). OSNs are used on large basis to market products, promote brands, connect people with their family, friends, & society through online communication. But, due to the deficiency of categorization & filtering tools, user acquires all messages which are published on his private space. So, user do not have whole control on the contents that are being posted. So, proposed work explains rule based system that gives permission to users to channelize the filtering criterion applied to their private space, and machine learning classifier able to label the messages automatically based on their content. Unwanted images are possible to filter by extracting and classifying their features (color, shape). Index terms— Online Social Networks(OSNs), Machine learning, Information filtering.