nlp - How to deal with length variations for text classification using CNN (Keras) -

it has been proved cnn (convolutional neural network) quite useful text/document classification. wonder how deal length differences lengths of articles different in cases. there examples in keras? thanks!!

here 3 options:

1. crop longer articles.
2. pad shorter articles.
3. use recurrent neural network, naturally supports variable-length inputs.