Table 9.

Classifiers used for systems in Table 8. (LR = Logistic Regression, SVM = Support Vector Machines, ME = MaxEnt, SG = SkipGrams).

System	Accuracy	max n-gram	NER	NLP	Negation	Word2Vec	Doc2Vec	GloVe	TF·IDF	LDA	LSI	Classifier
LIF	0.726	1		✓		✓		✓			✓	(SVM SG Cbow)→SVM
ELiRF	0.725	1		✓					✓			SVM (+ SVM)
GTI-GRAD	0.695	2		✓								LR
GSI (aspect)	0.691	1	✓	✓	✓							SVM
DE:Soft ${\overrightarrow{w}}_s$ (us)	0.677	1										DE: (NB, LR, SVM)
LYS	0.664	1		✓								Logistic regression L2-LG
DLSI	0.655	2		✓								SVM
SINAI-DW2Vec	0.619	1				✓	✓					SVM
INGEOTEC	0.613	5							✓	✓	✓	SVM