Table 2.

Computational resources used for each classifier by feature type for data sets II and III.

Feature type and data set		Random forest		Logistic regression
		Memory, MB	Run time, hours:minutes:seconds	Memory, MB	Run time, hours:minutes:seconds
BOWa
	II	310	00:04:10	340	00:21:35
	III	3500	07:22:02	3400	23:17:20b
TF-IDFc
	II	310	00:04:15	270	00:03:04
	III	3400	06:37:04	2300	02:47:30
CBOWd
	II	193	00:03:02	180	00:01:17
	III	1700	01:21:11	1700	00:16:36
PV-DBOWe
	II	170	00:03:35	89	00:00:34
	III	1100	01:41:18	1600	00:02:13

^aBOW: bag-of-words.

^bNo convergence after 100,000 iterations.

^cTF-IDF: term frequency–inverse document frequency.

^dCBOW: continuous BOW.

^ePV-DBOW: paragraph vector–distributed BOW.