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A Review on Filter Undesired Text from Social Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 107 - Number 14 |
| Year of Publication: 2014 |
| Authors: Ujwala S.tambe, Archana S. Vaidya |
10.5120/18819-0227
|
Ujwala S.tambe, Archana S. Vaidya . A Review on Filter Undesired Text from Social Networks. International Journal of Computer Applications. 107, 14 ( December 2014), 15-18. DOI=10.5120/18819-0227
Abstract
Online social Network (OSN) is a social networking service which is a platform to build relations among people who share comfort, actions, backgrounds or real-life connections. Hundreds of thousands of people are using these social networking services for personal use, marketing. Entertainment, Business purpose. User security is the main issue in present days from person to person interaction. Message filtering is main task of proposed system. An online social network provides the little support to the user to avoid unwanted messages displayed on their own private space. In this paper, we propose system which gives ability to user to control the unwanted messages posted on their wall. To filter undesired messages propose three tier architecture containing message classifier based on content and using machine learning techniques. User is able to customize the filtering rule as per his/her preferences. i. e grant access to allow user to insert messages on his/her wall.
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