Table 7. The Results of CNN-LSTM architecture.
Number of feature vectors | Type of Word2vec model | Accuracy (test) | Accuracy (10-cross fold validation) |
---|---|---|---|
100 | CBOW | 91.1 | 86.4 |
100 | Skip gram | 90.9 | 87.9 |
200 | CBOW | 91.8 | 88.8 |
200 | Skip gram | 93.0 | 89.1 |
300 | CBOW | 90.7 | 87.0 |
300 | Skip gram | 92.2 | 88.7 |
400 | CBOW | 91.5 | 87.3 |
400 | Skip gram | 92.4 | 89.2 |