Table 6. The Results of GRU using Word2vec model.
Number of feature vectors | Type of Word2vec model | Accuracy (test) | Accuracy (10-cross fold validation) |
---|---|---|---|
100 | CBOW | 91.5 | 86.5 |
100 | Skip gram | 91.2 | 89.3 |
200 | CBOW | 90.7 | 86.7 |
200 | Skip gram | 90.3 | 89.5 |
300 | CBOW | 90.6 | 88.6 |
300 | Skip gram | 92.0 | 87.9 |
400 | CBOW | 91.5 | 88.7 |
400 | Skip gram | 90.2 | 88.6 |