Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm

Table 15

Comparisons with other models.

Dataset	Measures	Our models					State-of-the-art models
		CNN-base	DE-CNN-5CV	DE-CNN-TSF	DE-CNN-TSC	DE-CNN-G1	Combined LSTM [57]
ArTwitter	Acc	90.95	93.28	92.25	92.61	93.28	87.27
	Prc	89.76	93.30	90.85	91.24	92.14	87.36
	Rec	93.03	93.74	94.45	94.75	95.05	87.27
	F1	91.32	93.44	92.57	92.91	93.55	87.28
STD		CNN-base	DE-CNN-5CV	DE-CNN-TSF	DE-CNN-TSC	DE-CNN-TS-G1	Stacking (eclf14) [21]
	Acc	87.24	88.31	88.36	88.25	88.14	85.28
	Prc	80.26	79.66	80.41	79.07	79.09	61.04
	Rec	64.82	71.58	70.69	72.25	71.36	67.14
	F1	71.39	75.33	75.14	75.36	74.93	63.95
AAQ		CNN-base	DE-CNN-5CV	DE-CNN-TSF	DE-CNN-TSC	DE-CNN-G1	NuCSV [7]
	Acc	84.69	87.15	87.43	88.01	87.50	80.21
	Prc	83.62	87.38	86.75	88.08	86.70	83.00
	Rec	86.48	87.05	88.49	88.07	88.77	76.50
	F1	85.00	87.16	87.58	88.03	87.70	79.62
ASTD-B		CNN-base	DE-CNN-5CV	DE-CNN-TSF	DE-CNN-TSC	DE-CNN-G1	Combined-LSTM [57]
	Acc	80.47	81.60	80.72	82.28	82.48	81.63
	Prc	81.08	81.89	82.18	82.66	81.86	82.32
	Rec	79.72	81.35	78.84	81.85	83.48	81.63
	F1	80.27	81.54	80.32	82.17	82.57	81.64
AJGT		CNN-base	DE-CNN-5CV	DE-CNN-TSF	DE-CNN-TSC	DE-CNN-G1	SVM (bigrams) [52]
	Acc	90.16	92.72	92.56	93.17	93.06	88.72
	Prc	89.62	91.80	91.86	92.79	92.36	92.08
	Rec	91.00	93.89	93.44	93.67	93.89	84.89
	F1	90.24	92.81	92.63	93.19	93.10	88.27