Sentiment Analysis for Effective Detection of Cyber Bullying

  • Vinita Nahar
  • Sayan Unankard
  • Xue Li
  • Chaoyi Pang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7235)


The rapid growth of social networking and gaming sites is associated with an increase of online bullying activities which, in the worst scenario, result in suicidal attempts by the victims. In this paper, we propose an effective technique to detect and rank the most influential persons (predators and victims). It simplifies the network communication problem through a proposed detection graph model. The experimental results indicate that this technique is highly accurate.


Social Network Cyber Bullying Text Mining 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Vinita Nahar
    • 1
  • Sayan Unankard
    • 1
  • Xue Li
    • 1
  • Chaoyi Pang
    • 2
  1. 1.School of Information Technology and Electrical EngineeringThe University of QueenslandAustralia
  2. 2.CSIROThe Australian E-Health Research CenterAustralia

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