Identification of Potential Cyber Bullying Tweets using Hybrid Approach in Sentiment Analysis

Abstract

With the rise of the Internet, cyber bullying is becoming more and more widespread. Cyber bullying has resulted in such disastrous consequences that there is a pressing need to detect it. The aim of this study is to do the same by using sentiment analysis. We perform cyber bullying detection using a novice approach on Tweets using Natural Language Processing and Machine Learning techniques. After processing a tweet, it can be flagged down if the tweet is a potential cyber bullying threat.