Paper Title

A Novel Approach for OSN User Walls for Filtering Unwanted Messages

Authors

S. RAVI PRAKASH , Ch. RATNA JYOTHI

Keywords

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

Abstract

The best diversion for the more youthful era now is given as Social Networking locales. The Online Social Networks (OSN) for the most part helps a person to interface with their companions, family and the general public online keeping in mind the end goal to accumulate and impart new encounters to others. Now a-days, the OSNs are confronting the issue of the general population posting the foul messages on any individual's divider which irritates other individuals on observing them. Keeping in mind the end goal to channel those excruciating messages a framework called Machine Learning is presented. The point of the present work is along these lines to propose and tentatively assess a robotized framework, called Filtered Wall (FW), ready to channel undesirable messages from OSN client dividers. Exploit Machine learning (ML) content order methods to naturally dole out with every short instant message an arrangement of classifications in view of its substance. The real endeavors in building a hearty short content classifier (STC) are amassed in the extraction and choice of a set portraying and segregating highlights.

How To Cite

"A Novel Approach for OSN User Walls for Filtering Unwanted Messages", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.11 - 16, December-2016, Available :https://ijsdr.org/papers/IJSDR1612003.pdf

Issue

Volume 1 Issue 12, December-2016

Pages : 11 - 16

Other Publication Details

Paper Reg. ID: IJSDR_160962

Published Paper Id: IJSDR1612003

Downloads: 000347210

Research Area: Engineering

Country: GUNTUR, ANDHRA PRADESH, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1612003

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1612003

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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