Bullet Subtitle Sentiment Classification Based on Affective Computing and Ensemble Learning

Table 6

Algorithm comparison results.

Algorithm	Class	Accuracy	Precision	Recall
Naive Bayes		0.937	0.900	0.963	0.930
			0.952	0.939	0.945
TF-IDF + SVM		0.781	0.878	0.740	0.803
			0.675	0.871	0.761
AT-LSTM		0.918	0.962	0.913	0.937
			0.845	0.929	0.885
ATT-GRU		0.934	0.933	0.961	0.947
			0.936	0.893	0.927
TextCNN		0.916	0.901	0.913	0.907
			0.944	0.910	0.927
AdaBoost		0.937	0.924	0.945	0.934
			0.958	0.923	0.940
RF		0.938	0.914	0.944	0.929
			0.940	0.955	0.947
BSSCM		0.946	0.909	0.963	0.935
			0.958	0.954	0.956