Table 4.
Classification performance.
| Code | Classifier | Class | Precision | Recall | F-Score | Accuracy |
|---|---|---|---|---|---|---|
| C1 |
MNB n-gram: (1, 2) features: 3000 |
against | 67.26% | 80.65% | 73.28 | 70.53% |
| neutral | 75.70% | 68.14% | 71.64 | |||
| in favor | 70.18% | 62.82% | 66.18 | |||
| C2 |
MNB n-gram: (1, 3) features: all |
against | 66.01% | 83.96% | 73.88 | 69.77% |
| neutral | 82.20% | 59.71% | 69.11 | |||
| in favor | 67.05% | 66.97% | 66.93 | |||
| C3 |
RF n-gram: (1, 2) features: all |
against | 66.94% | 77.53% | 71.79 | 68.53% |
| neutral | 68.93% | 72.50% | 70.59 | |||
| in favor | 70.77% | 55.56% | 62.10 | |||
| C4 |
RF n-gram: (1, 3) features: all |
against | 66.93% | 76.29% | 71.23 | 67.86% |
| neutral | 67.25% | 72.57% | 69.77 | |||
| in favor | 70.60% | 54.73% | 61.52 | |||
| C5 |
SVM n-gram: (1, 2) features: all |
against | 73.31% | 76.77% | 74.90 | 72.19% |
| neutral | 74.20% | 73.19% | 73.63 | |||
| in favor | 69.34% | 66.62% | 67.86 | |||
| C6 |
SVM n-gram: (1, 3) features: all |
against | 70.35% | 79.19% | 74.39 | 71.73% |
| neutral | 76.03% | 70.29% | 72.99 | |||
| in favor | 69.77% | 65.72% | 67.53 | |||
| C7 |
BERT cased: no |
against | 78.96% | 77.30% | 77.97 | 76.84% |
| neutral | 77.82% | 79.16% | 78.35 | |||
| in favor | 74.29% | 74.13% | 74.07 | |||
| C8 |
BERT cased: yes |
against | 77.18% | 76.25% | 76.47 | 75.63% |
| neutral | 77.07% | 77.06% | 76.88 | |||
| in favor | 73.60% | 73.92% | 73.45 | |||
| C9 | RoBERTa | against | 76.82% | 83.65% | 79.87 | 78.63% |
| neutral | 81.82% | 76.30% | 78.84 | |||
| in favor | 78.23% | 76.09% | 76.99 |