Text-Classification-using-GloVe-and-LSTM (NLP)

Natural Language Processing

From data preparation to building model and deploy the model to web service.

Part 1 : Preparing data

• read document
• clean data
• convert to phrases
• labeling and generating training dataset

Part 2 : Building the NLP model

• load pre-trained GloVe word embeddings
• tokenize the text
• create embedding matrix
• create Neural Network model in Keras (embedding matrix - convolutional layer - LSTM - softmax)

Part 3 : Model deployment in Azure (Microsoft Web Service)

• Create Workspace
• Pickle the model
• Register the model
• Create Image
• Deploy WebService
• Test calling web service