Table 8. The Results of the CNN-GRU model.
Number of feature vectors | Type of Word2vec model | Accuracy (test) | Accuracy (10-cross fold validation) |
---|---|---|---|
100 | CBOW | 91.7 | 84.7 |
100 | Skip gram | 92.8 | 88.3 |
200 | CBOW | 93.2 | 86.7 |
200 | Skip gram | 92.9 | 89.5 |
300 | CBOW | 91.4 | 87.2 |
300 | Skip gram | 92.5 | 89.6 |
400 | CBOW | 91.8 | 86.7 |
400 | Skip gram | 92.6 | 89.5 |