Automatic detection of cyberbullying

Cyberbullying is a growing social problem, causing victims to experience various negative impacts to their mental health.

Minorities are common targets of cyberbullying - particularly women, migrants, and LGBTQI communities. This demands the need for a system that can remove bullying content online. 

Our project employs machine learning and natural language processing techniques to develop an algorithm that can detect cyberbullying against minority groups. We aim for our algorithm to exceed the current performance of systems that have been implemented for similar purposes.

Transforming technologies


Computer Science

Georgia Zhang

vote for this project: TT56

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