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

Akankshi Mody, Shreni Shah, Reeya Bhushan Pimple, Narendra Shekokar

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.