Detecting Illegal Online Gambling (IOG) Services in the Mobile Environment

Table 5

Result of KoNLPy and the matching options.

No.	KoNLPy.Option	Time (s)	Class	Precision	Recall	F1-score	Accuracy
1	okt.morphs	3386.639	1	0.9118	0.9483	0.9297	0.9362
			2	0.9571	0.9265	0.9416
2	okt.nouns	2486.764	1	0.9673	0.5835	0.7279	0.8059
			2	0.7466	0.9842	0.8491
3	okt.phrases	3117.513	1	0.9153	0.9471	0.9309	0.9375
			2	0.9564	0.9298	0.9429
4	mecab.morphs	1482.722	1	0.9245	0.9462	0.9352	0.9417
			2	0.9560	0.9380	0.9469
5	mecab.nouns	957.6458	1	0.9749	0.5703	0.7196	0.8022
			2	0.7415	0.9882	0.8472
6	hannanum.morphs	2738.434	1	0.4413	0.4782	0.4590	0.4984
			2	0.5515	0.5145	0.5324
7	hannanum.nouns	2960.964	1	0.4707	0.2578	0.3331	0.5407
			2	0.5633	0.7676	0.6498
8	kkma.morphs	8756.802	1	0.9651	0.8948	0.9286	0.9388
			2	0.9203	0.9741	0.9464
9	kkma.nouns	8280.039	1	0.9840	0.8131	0.8904	0.9109
			2	0.8684	0.9894	0.9250
10	kkma.sentences	9004.297	1	0.9717	0.8877	0.9278	0.9385
			2	0.9158	0.9793	0.9465