Designing Weed out undesirable Messages from Social Networking System (SNS)
Abstract: Users have ability to keep in touch with his/her friends by exchanging different types of information or messages like text, audio and video data. Todays OSNs (Online Social Network System) do not provide much support to the users to avoid unwanted messages displayed on their own private space called in general wall. So, in this paper we present OSNs system which gives ability to users to control the messages posted on their own private space to avoid unwanted messages displayed. Customizable Filtering Rules are used to filter the unwanted messages from OSNs users wall as well as Machine learning approach, Short Text Classification and Black list techniques are applied on Users Wall.
Keywords: On-line Social Network, Information filtering, short text classification
How to Cite?: A. Mahesh, K. Narayana Rao, "Designing Weed out undesirable Messages from Social Networking System (SNS)", Volume 4 Issue 11, November 2015, International Journal of Science and Research (IJSR), Pages: 156-159, https://www.ijsr.net/getabstract.php?paperid=SUB159068, DOI: https://dx.doi.org/10.21275/SUB159068