SURVEY OF MACHINE LEARNING TEXT BASED MESSAGE S(TEXT AND IMAGE) FILTERING FROM OSN USER WALL.

Abstract

As we know, today everyone is using On-line Social Networks (OSNs) to communicate and share information. Therefore one important need in today On-line Social Networks (OSNs) is to give users the ability to control the messages posted on their own private space to avoid that unwanted content is displayed. OSNs provide little support to this requirement up to now. To provide this, we propose a system allowing OSN users to have a direct control on the messages posted on their walls. This is accomplished through a flexible rule-based system, which allows users to customize the filtering criteria to be applied to their walls, and a Machine Learning based soft classifier which automatically produce membership labels in support of content-based filtering.