Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm

Table 7

The results of DE/best/2, different population sizes, and mutation parameter using dataset split reevaluated with 5-fold CV.

DE parameters	DE/best/2--				DE/best/2--
Population size	5		10		5		10
Dataset	Accuracy	Time (s)	Accuracy	Time (s)	Accuracy	Time (s)	Accuracy	Time (s)
ArTwitter	92.72	1780.57	92.97	2716.75	92.36	3462.59	92.56	4735.10
STD	88.19	1302.01	87.69	2023.61	88.03	3117.11	88.14	3102.14
AAQ	87.29	9051.87	87.11	20436.34	86.99	7233.76	86.43	20061.08
ASTD-B	81.29	1140.01	82.23	1961.08	81.67	1152.20	82.48	1847.88
AJGT	92.44	3064.20	92.17	6451.25	92.50	2723.33	92.83	6598.21
Average	88.39	3267.73	88.43	6717.81	88.31	3537.80	88.49	7268.88