Cyber Bullying Detection

Abstract: Social media is a platform where many young people are getting bullied. As social networking sites are increasing, cyber bullying is increasing day by day. To identify word similarities in the tweets made by bullies and make use of machine learning and can develop an ML model automatically detect social media bullying actions. The objective of our project work is to show the implementation of NLP and LSTM which detects bullied tweets, posts, etc. A machine learning model is proposed to detect and prevent bullying on Twitter. Two classifiers i.e. NLP (Natural Language Processing) are used for identifying the complete sentence in the comments and LSTM (Long Short-Term Memory) for identification.