DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING MACHINE LEARNING

Authors

  • Padamati Mamatha, Gujjari Usharani, Ramesh Ramavath, Yasa Abhilash Reddy Author

DOI:

https://doi.org/10.62643/

Keywords:

Wikipedia, Twittter

Abstract

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

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Published

13-06-2023

How to Cite

DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING MACHINE LEARNING. (2023). International Journal of Engineering Research and Science & Technology, 19(2), 1-8. https://doi.org/10.62643/