Automatic detection of cyberbullying on social networks based on bullying features

  title={Automatic detection of cyberbullying on social networks based on bullying features},
  author={Rui Zhao and Anna Zhou and Kezhi Mao},
With the increasing use of social media, cyberbullying behaviour has received more and more attention. Cyberbullying may cause many serious and negative impacts on a person's life and even lead to teen suicide. To reduce and stop cyberbullying, one effective solution is to automatically detect bullying content based on appropriate machine learning and natural language processing techniques. However, many existing approaches in the literature are just normal text classification models without… CONTINUE READING
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