TY  - JOUR
PY  - 2012//
TI  - Sentiment analysis for effective detection of cyber bullying
JO  - Lecture notes in computer science
A1  - Nahar, Vinita
A1  - Unankard, Sayan
A1  - Li, Xue
A1  - Pang, Chaoyi
SP  - 767
EP  - 774
VL  - 7235
IS  - 
N2  - 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 />
LA  - en
SN  - 0302-9743
UR  - http://dx.doi.org/10.1007/978-3-642-29253-8_75
ID  - ref1
ER  -