My files

• clsm_keras_v2.py-----test tokenizer of keras and tflearn
• clsm_keras_v3.py-----make train data, havent fit model, use tflearn as tokenizer tool
• clsm_keras_v4.py-----add fit model, train and test

Deep Semantic Similarity Model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here.

Additional References

1. http://research.microsoft.com/pubs/238873/wsdm2015.v3.pdf - slides giving a high level overview of the DSSM and how it can be used for information retrieval.
2. http://research.microsoft.com/en-us/projects/dssm/ - Microsoft Research's summary of the DSSM (includes many more references).