Result on how different word n-gram amount and appended metadata affects the result
Dataset | P-AVG | R-AVG | F-AVG |
---|---|---|---|
1000 | 0.7684 | 0.725 | 0.718 |
1500 | 0.7728 | 0.736 | 0.7306 |
2000 | 0.7808 | 0.7424 | 0.7372 |
2500 | 0.7874 | 0.749 | 0.7436 |
3000 | 0.7876 | 0.749 | 0.7428 |
3500 | 0.7468 | ||
4000 | 0.7526 | 0.7452 | |
4500 | 0.7926 | 0.7506 | 0.7426 |
5000 | 0.7912 | 0.7506 | 0.7426 |
1000 + metadata | 0.745 | 0.7164 | 0.7152 |
1500 + metadata | 0.7458 | 0.7216 | 0.7192 |
2000 + metadata | 0.7536 | 0.729 | 0.727 |
2500 + metadata | 0.7738 | 0.7454 | 0.7414 |
3000 + metadata | 0.7712 | 0.7446 | 0.7408 |
3500 + metadata | 0.782 | 0.7524 | |
4000 + metadata | 0.7814 | 0.7478 | 0.7422 |
4500 + metadata | 0.783 | 0.7466 | 0.7399 |
5000 + metadata | 0.778 | 0.7404 | 0.7332 |