Cyber Bullying Detection for Twitter Using MI Classification Algorithms

Cyber Bullying Detection for Twitter Using MI Classification Algorithms

Mamatha B H 1, Dr. Geetha M 2

1Student, Department of MCA, BIET, Davangere,

2Associate professor, Department of MCA, BIET, Davangere.

ABSTRACT: Cyber bullying is a major problem encountered on internet that affects teenagers and also adults. It has led to mis- happenings like suicide and depression. Regulation of content on Social media platforms has become a growing need. The following study uses data from two different forms of cyber bullying, hate speech tweets from Twittter and comments based on personal attacks from Wikipedia forums to build a model based on detection of cyber bullying in text data using Natural Language Processing and Machine learning. Three methods for Feature extraction and four classifiers are studied to outlinethe best approach. For Tweet data the model provides accuracies above 90% and for Wikipedia data it gives accuracies above 80%.

Keywords:Wikipedia,Twitter,NaturalLanguageProcessingandCyberbullying.