A Multi-cascaded Deep Model for Bilingual SMS Classification
Table 2: Hyperparameter tuning, the selection range, and final choice
['[BOLD] Hyperparameter', '[BOLD] Possible Values', '[BOLD] Chosen Value']
The rationale behind choosing this particular model as a baseline is it’s proven good predictive performance on multilingual text classification. For McM, the choices of number of convolutional filters, number of hidden units in first dense layer, number of hidden units in second dense layer, and recurrent units for LSTM are made empirically. These choices remained same for all experiments and the validation set was merged back into training set.