Table 7 Parameter setting regarding proposed LSTM + CNN model
LSTM + CNN model layers | Parameters with values |
|---|---|
Convolutional layer | Number of filters = 2, 4, 6, 8, 10, 12, 14, 16 |
Kernel size = 2 × 2 | |
Padding = same | |
Pooling layer | Pooling size = 2 × 2 |
LSTM layer | Units = 100 |
Additional | Vocabulary size = 2000 Input vector size = 50 Embedding dimension = 128 Batch size = 8 Number of epochs = 7 |