International Journal of Computer Applications
Online Social Networks (OSNs) are the most impulsive standard to provide communication, sharing and disseminate a significant amount of individual life data. Content can be changed based on daily needs in several communication fields (audio, video, image, and text). One of the important aspects of OSN is to give the user capacity to automatically manage the messages posted and also to filter the unnecessary messages. This paper is to evaluate an automated system called filter walls and also using machine learning text categorization technique.