Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm

Table 6

The results of DE/best/1 strategy, different population sizes, and mutation parameter using dataset split reevaluated using 5-fold CV.

DE parameters	DE/best/1--				DE/best/1--
Population size	5		10		5		10
Dataset	Accuracy	Time (s)	Accuracy	Time (s)	Accuracy	Time (s)	Accuracy	Time (s)
ArTwitter	92.72	2341.01	93.44	3921.61	92.66	3270.71	92.61	6540.61
STD	87.97	1198.57	88.30	2643.58	88.42	3497.13	86.91	5547.04
AAQ	86.97	4949.27	86.38	11575.05	87.43	7880.75	87.39	17957.25
ASTD-B	82.04	1057.19	81.17	1940.99	82.29	1170.57	81.61	2114.62
AJGT	91.67	2858.29	92.56	5039.01	92.50	3382.44	92.44	5338.89
Average	88.27	2480.87	88.37	5024.05	88.66	3840.32	88.29	7499.68