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This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

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Text Classification

All kinds of neural text classififers implemented by Keras (tensorflow backend).

Models

TextCNN, EMNLP2014
Kim et al. Convolutional Neural Networks for Sentence Classification.
DCNN, ACL2014
Kalchbrenner et al. A Convolutional Neural Network for Modelling Sentences
RCNN, AAAI2015
Lai et al. Recurrent Convolutional Neural Networks for Text Classification.
HAN, NAACL-HLT2016
Yang et al. Hierarchical Attention Networks for Document Classification.
DPCNN, ACL2017
Johnson et al. Deep Pyramid Convolutional Neural Networks for Text Categorization.
VDCNN, EACL2017
Conneau et al. Very Deep Convolutional Networks for Text Classification.
MultiTextCNN
Extension of textcnn, stacking multiple cnns with the same filter size.
BiLSTM
Bidirectional lstm + max pooling over time.
RNNCNN
Bidirectional gru + conv + max pooling & avg pooling.
CNNRNN
conv + max pooling + Bidirectional gru + max pooling over time.

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