| 总结: | With the increasing use of social media platforms such as Facebook, Twitter and Instagram,
more and more people are connecting with each other throughout the world. People use these
social media platforms to express their individuality, thoughts, ideas and opinions freely.
However, a certain group of people abuse this freedom of speech to offend others. This is called
cyberbullying. Some common examples of cyberbullying are posting derogatory or offensive
comments, expressing hostility or aggression online, spreading false rumors, creating fake IDs
etc. In this paper, we propose the use of Supervised Machine Learning techniques to find an
efficient labeling method for effectively predicting and detecting cyberbullying in social media
sites through comparative analysis.
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