Table 4 Experiment 1 with AraSenTi dataset
From: AraXLNet: pre-trained language model for sentiment analysis of Arabic
| Â | Precision | Recall | F1-Score | Support |
|---|---|---|---|---|
0 | 0.95 | 0.96 | 0.95 | 1230 |
1 | 0.95 | 0.94 | 0.94 | 993 |
Accuracy | – | – | 0.95 | 2223 |
Macro Avg | 0.95 | 0.95 | 0.95 | 2223 |
Weighted Avg | 0.95 | 0.95 | 0.95 | 2223 |