Explainable and High-Performance Hate and Offensive Speech Detection

no code implementations • 26 Jun 2022 • Marzieh Babaeianjelodar, Gurram Poorna Prudhvi, Stephen Lorenz, Keyu Chen, Sumona Mondal, Soumyabrata Dey, Navin Kumar

For unbalanced Twitter data, XGboost outperformed the LSTM, AutoGluon, and ULMFiT models on hate speech detection with an F1 score of 0. 75 compared to 0. 38 and 0. 37, and 0. 38 respectively.

Hate Speech Detection Vocal Bursts Intensity Prediction