Cyber Bullying Detection using Machine Learni...

Cyber Bullying Detection using Machine Learning and Deep Learning

Author Name : Thanuja Varshini R, Bhagya Narayanan R, Sowmya R, M R Sumalatha, Lakshmi Harika Palivela

ABSTRACT

Social networking platforms are a fertile ground for creativity. Bullies, teenagers and youngsters who use these websites, are all at risk. We can detect things using machine learning and establish verbal patterns utilized by bullies and their victims and create guidelines for software that can recognise content that is cyber bullying. We intend to use regression models and deep learning in our model to predict the same and employ the model we devise through an app that tells us if we are being bullied online. The influence on young people has just recently been acknowledged, even though it has been an issue for many years. Platforms for social networking are rich grounds for innovation. This project aims to protect children, who aren’t even aware of the threats they are exposed to and all internet users in general.

Detecting cyber bullying is a strenuous task that requires critical assessment. The main objective is to identify cyber bullying in social media handles, twitter in our case and report the same. The planned methodology will be able to detect cyber bullying and report the same to the user.

Keywords: Cyber Bulling Detection, Classification, Social networking, Data Cleaning