Table 1: Tweets with Portuguese language labelling. Here, checking the first few factors, the highest contributions (inertia, that defienes the factor) by tweeter, and by day.
| Factor | tweeter(cont.) | tweeter(cont.) | tweeter(cont.) |
| 1 | Gianna Adamson (0.002) | gumartinslive (0.001) | CamilaMacielSer (0.001) |
| 2 | newslarts (0.0005) | herdersonfile (0.0004) | biebersmaniabr (0.0004) |
| 3 | Onlifebiebsr (0.0005) | justindrewluz (0.0005) | sandybieber1 (0.0005) |
| 4 | AlissonNobrien (0.0007) | Music_Industry3 (0.0006) | PAULINAUSURPA (0.0005) |
| 5 | cacolizei (0.002) | knowhoneymoon (0.001) | Tayanediass (0.001) |
| Factor | day (contr.) | day (contr.) | day (contr.) |
| 1 | 2015-09-22 (0.018) | 2016-05-17 (0.013) | 2015-09-21 (0.012) |
| 2 | 2015-11-07 (0.111) | 2015-08-24 (0.086) | 2015-08-23 (0.060) |
| 3 | 2015-11-07 (0.161) | 2015-09-22 (0.143) | 2015-08-24 (0.084) |
| 4 | 2015-09-22 (0.108) | 2015-11-07 (0.059) | 2015-09-23 (0.042) |
| 5 | 2015-12-17 (0.656) | 2016-01-25 (0.017) | 2015-08-24 (0.013) |