Table 4 Experiment 1 with AraSenTi dataset
From: AraXLNet: pre-trained language model for sentiment analysis of Arabic
| 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 |