| Typicality: | 0.482 |
| Saliency: | 0.497 |
| to help with accuracy | 14 | purpose |
| to drive business impact | 11 | purpose |
| to produce insights | 8 | purpose |
| business → use → machine learning | 69 |
| business → leverage → machine learning | 11 |
| business → apply → machine learning | 9 |
| business → incorporate → machine learning | 8 |
| business → implement → machine learning | 5 |
| business → employ → machine learning | 4 |
| business → deploy → machine learning | 4 |
| business → develop → machine learning | 3 |
| business → utilise → machine learning | 3 |
| negative | neutral | positive |
| 0.024 | 0.356 | 0.620 |
| Raw frequency | 116 |
| Normalized frequency | 0.497 |
| Modifier score | 0.830 |
| Perplexity | 82.192 |