Table 7 Experiment 1 with AJGT dataset
From: AraXLNet: pre-trained language model for sentiment analysis of Arabic
| Precision | Recall | F1-Score | Support | |
|---|---|---|---|---|
| 0 | 0.94 | 0.85 | 0.89 | 190 |
| 1 | 0.79 | 0.92 | 0.85 | 170 |
| Accuracy | – | – | 0.88 | 360 |
| Macro Avg | 0.87 | 0.88 | 0.87 | 360 |
| Weighted Avg | 0.88 | 0.88 | 0.88 | 360 |