Social Bulling Identification Using Sentiment Analysis

Abstract

Today social Media is used by more and more people using so many platform. People used to express their feeling about product, movie as well towards individual or group of people. As social media is very important and power full platform to connect people all over the world, it also introduce cyber crime like social Bulling. Social Bulling impact physical and mental condition of victim. Successful identification of message which lead to social bulling can prevent many people from become victim of this crime. The focus of this paper is to use sentiment analysis technique to identify bully comment on social media. Sentiment analysis is used to identify the polarity of sentence. In this paper we discussed about three different method of sentiment analysis which we will use for social bulling identification. Here we discuss different approach for text pre-processing, feature extraction which is use full to get good performance from social bulling identification model.