| Typicality: | 0.453 |
| Saliency: | 0.438 |
| by leveraging the digital footprints | 11 | manner |
| to correlate weather data | 3 | purpose |
| to prevent inventory shortages | 2 | purpose |
| retailer → use → predictive analytics | 23 |
| retailer → utilize → predictive analytics | 4 |
| negative | neutral | positive |
| 0.041 | 0.570 | 0.390 |
| Raw frequency | 27 |
| Normalized frequency | 0.438 |
| Modifier score | 0.550 |
| Perplexity | 65.101 |