@article{ref1,
title="Sentiment analysis for effective detection of cyber bullying",
journal="Lecture notes in computer science",
year="2012",
author="Nahar, Vinita and Unankard, Sayan and Li, Xue and Pang, Chaoyi",
volume="7235",
number="",
pages="767-774",
abstract="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.  2012 Springer-Verlag Berlin Heidelberg.<p />",
language="en",
issn="0302-9743",
doi="10.1007/978-3-642-29253-8_75",
url="http://dx.doi.org/10.1007/978-3-642-29253-8_75"
}