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The samples were selected randomly at the beginning. Tags were thought up on the go, trying to generalize into broader categories. After the initial tagging, we counted the number …

Yes, we're analyzing the titles. They're vectorized and fed into a LSTM net which was trained on a manually tagged training set. The set is not very big yet but yields good enough …

Hey, thanks! It's a bit of deep learning magic combined with a few days of manual labor tagging the training set :) The classifier itself is an LSTM and runs on TensorFlow. As said…