In this project ,Sentimental analysis is done on Arabic tweets .An Arabic-Bert-base model from hugging face is used,it was pretrained on ~8.2 Billion words which sum up to ~95GB of text. The model achieved an accuracy of 90.16% and AUC of 0.966 on test set.
| Name | Link |
|---|---|
| Dataset | https://www.kaggle.com/mksaad/arabic-sentiment-twitter-corpus |
| Bert Model | https://huggingface.co/asafaya/bert-mini-arabic/blob/main/README.md |
Noha Mohammad Ahmed
Rohanda Hamed
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