Asian Journal of Engineering and Technology Innovation

Spam Blocker for Online Social Network

Seema Pralhad Jaybhaye

Deogiri Institute of Engineering and Management Studies, Aurangabad

Abstract

One elementary issue in today’s on-line Social Networks (OSNs) is to relinquish users the power to manage the messages announce on their own non-public area to avoid that unwanted content is displayed. Up to now, OSNs offer very little support to the current demand. To fill the gap, during this paper, we have a tendency to propose a system permitting OSN users to ownan immediate management on the messages announce on their walls. This is often achieved through a versatile rule-based system and a Machine Learning-based soft classifier mechanically labeling messages in support of content-based filtering.

Keywords:

Online social networks, data filtering, short text classification, policy-based personalization.