Detection of Cyber Bullying in Social Media Engineering
M. Vijaya Maheswari · International Journal of Advanced Trends in Computer Science and Engineering · 2020
In the digital world the individuals in various age bunches have an enthusiasm on correspondence with social media.This increasing trend of users in the social media created a chance for cyber bullying which means harmful words communicate via electronic.From the previous research analysis one of the challenging tasks is to find out the combination of the harmful words in the dataset and it takes a long time process.We propose a technique for detection of cyber bullying is Natural Language processing along with regression technique, finding the accuracy of the statistical measures on Twitter dataset.The results show that accuracy of F1 measures produce better performance on any combination of Bully words.