I would like to know if there is a complete text classification with deep learning example, from text file, csv, or other format, to classified output text file, csv, or other. I have seen tens of tutorials and they mostly focus on the model and its performance, but I have not been able to find one that shows how to apply the model to a set of text strings and how to output a document with the classified(labeled) text.
You may look at these github repositories :
I believe what you are looking for is this: https://machinelearningmastery.com/sequence-classification-lstm-recurrent-neural-networks-python-keras/
The author uses the IMDB dataset to classify movies from comment sentiment (good / bad).
It includes detailed description of all the steps and provides you with the code to have a LSTM-RNN up and running very fast for the purpose.