International Journal of Scientific Development and Research - IJSDR
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Paper Title: A Novel Approach for OSN User Walls for Filtering Unwanted Messages
Unique Id: IJSDR1612003
Published In: Volume 1 Issue 12, December-2016
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.
Keywords: Online social networks, information filtering, short text classification, and policy-based personalization.
Cite Article: "A Novel Approach for OSN User Walls for Filtering Unwanted Messages", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 12, page no.11 - 16, December-2016, Available :http://www.ijsdr.org/papers/IJSDR1612003.pdf
Downloads: 00016029
Publication Details: Published Paper ID: IJSDR1612003
Registration ID:160962
Published In: Volume 1 Issue 12, December-2016
DOI (Digital Object Identifier):
Page No: 11 - 16
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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