Document-Classifier-LSTM
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Example use cases
Hi,
This library seems perfect for my needs. However, I'm struggling to figure out how to use the various different files.
I would greatly appreciate if someone could create an example.py that imports all of these files and trains the BLSTM on a basic CSV in the form:
label, "... all my text here ..."
other_label, "other labels represent different text. Not all text is the same length."
label, "also, text may contain commas. That's the point of these speech marks."
Thanks in advance. I am not great at Python and have limited experience with Tensorflow, so if someone could even just provide me with an implementation they used on a project to help me figure it out, I would be very grateful.