DETECTION OF CYBERBULLYING ON SOCIAL MEDIA USING MACHINE LEARNING
DOI:
https://doi.org/10.62643/Keywords:
Wikipedia, TwittterAbstract
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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