Recurrent Neural Network(RNN) are a type of Neural Network where the output from previous step are fed as input to the current step. In traditional neural networks, all the inputs and outputs are ...

Abstract: Text classification is a classic task in the field ... In this paper, we combine the advantages of two traditional neural network model, Long Short-Term Memory(LSTM) and Convolutional Neural ...

Results showed that the performance of CNO-LSTM, a simplified model structure and oscillatory neurons state in exercising different types of text classification tasks are above baseline models in ...

CNN Model Text Vectorization Embedding Layer 2 × Conv1D + MaxPooling1D layers Dense Layer with Dropout Output Layer with Softmax Activation CNN + Bidirectional LSTM Model Text Vectorization Embedding ...

Therefore, this text is classified ... better. LSTM cells, on the other hand, learn content that can be found more frequently in the data (high prevalence) better. As soon as the prevalence is ...