Multi-word Embeddings CNN for Identifying Informative Messages

Simplified implementation of "Convolutional Neural Networks for Sentence Classification" paper
We introduce a novel approach usingConvolutional NeuralNetwork augmented with multi-word embeddings. The concatenation of embeddings at the embedding layer is utilized to learn local feature for sentenceclassification. Our approach combines i) diverse version of pre-trained wordembeddings and ii) extracts features of the sentence with variable-size convolution filter. We also show the advantages and good performance whencompared with baseline methods in case of disaster data.

Requirement

tensorflow
keras
...

Running

Configure home folder
run with 'python train.py'
Check output

References

Kim, Yoon. "Convolutional neural networks for sentence classification." arXiv preprint arXiv:1408.5882 (2014)