Initial Study into Application of Feature Density and Linguistically-backed Embedding to Improve Machine Learning-based Cyberbullying Detection

no code implementations • 4 Jun 2022 • Juuso Eronen, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski, Mateusz Piech, Aleksander Smywinski-Pohl

In this research, we study the change in the performance of machine learning (ML) classifiers when various linguistic preprocessing methods of a dataset were used, with the specific focus on linguistically-backed embeddings in Convolutional Neural Networks (CNN).

Cyberbullying Detection -- Technical Report 2/2018, Department of Computer Science AGH, University of Science and Technology

no code implementations • 2 Aug 2018 • Michał Ptaszyński, Gniewosz Leliwa, Mateusz Piech, Aleksander Smywiński-Pohl

There are two goals to achieve: building a gold standard cyberbullying detection dataset and measuring the performance of the Samurai cyberbullying detection system.