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A System to Filter Unwanted Messages from Online Social Network (OSN) User Walls

Published on May 2016 by Ankush S. Nisal, Yogesh Nimbalkar, Niteen Pisal, Ravikumar Pathare, Satish Kumar Penchala
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National Conference on Advancements in Computer & Information Technology
Foundation of Computer Science USA
NCACIT2016 - Number 6
May 2016
Authors: Ankush S. Nisal, Yogesh Nimbalkar, Niteen Pisal, Ravikumar Pathare, Satish Kumar Penchala
9bb9c025-38a6-4ece-a951-fee99c40e3bd

Ankush S. Nisal, Yogesh Nimbalkar, Niteen Pisal, Ravikumar Pathare, Satish Kumar Penchala . A System to Filter Unwanted Messages from Online Social Network (OSN) User Walls. National Conference on Advancements in Computer & Information Technology. NCACIT2016, 6 (May 2016), 10-13.

@article{
author = { Ankush S. Nisal, Yogesh Nimbalkar, Niteen Pisal, Ravikumar Pathare, Satish Kumar Penchala },
title = { A System to Filter Unwanted Messages from Online Social Network (OSN) User Walls },
journal = { National Conference on Advancements in Computer & Information Technology },
issue_date = { May 2016 },
volume = { NCACIT2016 },
number = { 6 },
month = { May },
year = { 2016 },
issn = 0975-8887,
pages = { 10-13 },
numpages = 4,
url = { /proceedings/ncacit2016/number6/24732-3085/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancements in Computer & Information Technology
%A Ankush S. Nisal
%A Yogesh Nimbalkar
%A Niteen Pisal
%A Ravikumar Pathare
%A Satish Kumar Penchala
%T A System to Filter Unwanted Messages from Online Social Network (OSN) User Walls
%J National Conference on Advancements in Computer & Information Technology
%@ 0975-8887
%V NCACIT2016
%N 6
%P 10-13
%D 2016
%I International Journal of Computer Applications
Abstract

Internet becomes more and more popular in the day to day activities of user's. In recent years use of online social networks (OSN) also increased rapidly. The users can communicate and share their views, ideas and content through online social networking (OSN). Several types of content like image, text, audio, video etc can be shared between the users. The main drawback of these Online Social Networking (OSN) services is the lack of privacy for the user's own private space. The users can not have ability to direct control to prevent the undesired messages posted on their own private walls. There are only the unwanted messages will be blocked not the user. To avoid this issue, BL (Black List) mechanism is used in this paper, which avoids undesired creators messages.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Machine Learning Techniques Online Social Networks (osn) Short Text Classifier Filtered Wall Filtering Rules And Black List(bl).