Generalisation of Cyberbullying Detection

Filtering out Cyberbullying of communities has proven to be a challenge, and efforts have led to the creation of many different datasets to train classifiers. Through these datasets, we will explore the variety of definitions of cyberbullying behaviors and the impact of these differences on the portability of one classifier to another community. We also gain insight on the generalization power of these classifiers. A study of ensemble models combining these classifiers will help us understand how they interact with each other.