eISSN 2093-744X
pISSN 1598-2645

Table 4

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	0.7932	0.7542	0.7468
4000	0.7932	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	0.7482
4000 + metadata	0.7814	0.7478	0.7422
4500 + metadata	0.783	0.7466	0.7399
5000 + metadata	0.778	0.7404	0.7332

International Journal of Fuzzy Logic and Intelligent Systems 2019;19:283~289 https://doi.org/10.5391/IJFIS.2019.19.4.283