Identification of Cyberbullying in Social Media using Machine Learning

Identification of Cyberbullying in Social Media using Machine Learning

,1 Prof.Sagar Dhanake, 2 Adesh Dorge , 3 Ganesh Hande, 4 Akshay Gaykar

1 Professor, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India

2Student, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India

3Student, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India

4 Student,Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India

Abstract : In the modern era, the usage of internet has increased tremendously which in turn has led to the evolution of large amount of data .Cyber world d has its own pros and cons. One of the alarming situations in web 4.0 is cyber bullying a type of cyber-crime. When the bullying occurs on line with the aid of technology it is known as cyber bullying. This research paper have surveyed the work done by 30 different researchers on cyber bullying, and elaborated on different methodologies adopted by them for the detection of bullying, and how you protect the  community from online evil act of cyber bullying. Cyber- crimes involve all the crimes where internet is used as an access medium and committed through some electronic device such as computers and mobile phones. Unavailability of datasets, hidden identity of predators and the privacy of the victims are the main factors for limiting the past research in cyberbullying detection.

Index Terms - cyberbullying; machine learning; victim; social media; dataset.