To Provide A Classification Mechanism To Avoid Useless Data From Osn Walls
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2014, Vol 2, Issue 11
Abstract
It recommends an automated system called Filtered Wall able to filter unwanted messages from OSN user walls to involuntarily allocate with each short text message a set of categories based on its content. In OSNs there is the prospect of posting or commenting other posts on particular public and private areas called in general walls. Information filtering can therefore be used to give users the propensity to frequently manage the messages written on their own walls by filtering out superfluous messages. The endeavor of the present work is consequently to proposition and experimentally estimate an automated system called Filtered Wall (FW) competent to filter unwanted messages from OSN user walls. We exploit Machine Learning (ML) text classification techniques to automatically allocate with each short text message a set of categories based on its content.
Authors and Affiliations
M Vamsikrishna| Dept. of CSE, CIST College of Engineering & Tech., madhavpatanam, kakinada, E.Gdt,AP, India, N. Madhurisha| Dept. of CSE, CIST College of Engineering & Tech., madhavpatanam, kakinada, E.Gdt,AP, India
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