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As many people, I've been following Andrew NG's course and I'd like now to work on a multilabel (short) text classifier with Keras/TensorFlow/Scikit learn.

I'm new to this and I know this is not exactly the kind of questions that we're supposed to ask here but where can I find a small full example (data + implementation) of a multilabel text classifier that I could run out of the box?

I've been looking all over the internet and couldn't find something like this. I need a first example to modify, change features etc to fully understand how it should work.

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A shameless plug over here. Feel free to check Magpie, a framework for multi-label text classification that builds on word2vec and neural network technologies. It should run out-of-the-box if you have a good dataset and it builds on the technologies that you mentioned (keras, TF and scikit-learn).

I managed to run it for classifying texts with up to 10k labels with reasonable performance. Thanks to word2vec it should also be able to work for an arbitrary language.

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