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.