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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.

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  • $\begingroup$ I kindly request you to go through community guidelines for effective feedback. $\endgroup$ – quintumnia Jun 13 '18 at 11:26
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You may look at these github repositories :

  1. Text classification in NLP with deep learning
  2. Convolutional Neural Networks for Sentence Classification
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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.

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