Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications
Table 3: Hyperparameters of the CNN algorithms
['Parameter', 'Value']
Convolutional neural network is employed on the experiments to compare with the proposed approach. This network typically includes two operations, which can be considered of as feature extractors, convolution and pooling. CNN performs a sequence of operations on the data in its training phase and the output of this sequence is then typically connected to a fully connected layer which is in principle the same as the traditional multi-layer perceptron neural network.