Research Article
Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm
Table 3
The results based on 5-fold CV accuracy as fitness function value used with DE/best/1, different population sizes, and mutation parameter.
| 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 | 91.79 | 7585.98 | 91.58 | 22699.37 | 90.34 | 13523.39 | 91.68 | 22544.00 | STD | 86.75 | 4047.13 | 86.97 | 8578.22 | 86.63 | 10524.26 | 86.97 | 17972.58 | AAQ | 86.03 | 26251.50 | 86.10 | 56413.17 | 86.12 | 38387.81 | 86.73 | 66221.46 | ASTD-B | 80.60 | 6200.27 | 81.11 | 5690.58 | 80.98 | 4678.05 | 81.11 | 9112.36 | AJGT | 85.75 | 5061.12 | 88.56 | 7862.54 | 90.83 | 8486.48 | 91.72 | 18209.64 | Average | 86.18 | 9829.2 | 86.87 | 20248.78 | 86.98 | 15119.99 | 87.64 | 26812.01 |
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