| accurately | 5 | manner |
| essentially | 4 | degree |
| based on historical data | 4 | other |
| ai → can → predict | 38 |
| ai → be able to → predict | 20 |
| ai → could → predict | 9 |
| ai → predict for → example | 4 |
| ai → predict for → instance | 3 |
| negative | neutral | positive |
| 0.108 | 0.618 | 0.273 |
| Raw frequency | 74 |
| Normalized frequency | 0.541 |
| Modifier score | 0.600 |
| Perplexity | 423.690 |