| Typicality: | 0.610 |
| Saliency: | 0.640 |
| to become efficient | 13 | purpose |
| to automate some tasks | 13 | purpose |
| to provide a useful response | 7 | purpose |
| ai → use → machine learning | 95 |
| ai → apply → machine learning | 10 |
| ai → leverage → machine learning | 7 |
| ai → incorporate → machine learning | 6 |
| ai → utilize → machine learning | 5 |
| ai → use → machine learning algorithms | 4 |
| ai → learn with → machine learning | 3 |
| ai → perform → machine learning | 3 |
| negative | neutral | positive |
| 0.030 | 0.488 | 0.482 |
| Raw frequency | 133 |
| Normalized frequency | 0.640 |
| Modifier score | 0.767 |
| Perplexity | 95.761 |