| Autor: |
Ammar Aouchiche, Imane Rebeh, Boumahdi, Fatima, Madani, Amina, Remmide, Mohamed Abdelkarim |
| Zdroj: |
SN Computer Science; May 2023, Vol. 4 Issue: 3 |
| Abstrakt: |
In order to stop hate speech spreaders on social media, researchers started developing machine learning systems that automatically detect hate speech. In this paper we present our proposed approach to detect hate speech on twitter. We develop two different models, the first one with a traditional approach using random forest model and the second one with the autoencoder as a deep learning model combinate with random forest model. The proposed models reached accuracies of 94% and 63% for Kaggle (https://www.kaggle.com/) and Pan (https://pan.webis.de/) dataset respectively. |
| Databáze: |
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