Implementing a Natural Language Classifier in iOS with Keras + Core ML

(Jeff_L) #1

Future


As I mentioned, this open source project doesn’t aim to replace much


more evolved NLC and NLU platforms such as IBM Watson NLC,


Conversation, and others.


At the moment, it only supports basic intent understanding and,


importantly, it uses a very simple, fully connected neural network


with a limited one-hot word encoding technique.


It works quite well and, of course, it works totally oine!


In the future, I’ll extend this project to support more complex


embedding methods, such as Word2Vec. I’ll also adopt a more powerful


RNN model to try to detect entities/slots.


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