Sweetflowerjulia/NLP-tag-classification-with-GloVe-and-LSTM
Natural Language Processing. From data preparation to building model and deploy the model to web service
This project helps data scientists and machine learning engineers build and deploy text classification models. It takes raw text documents, cleans them, converts them into a format suitable for machine learning, and outputs a trained model that can categorize text. The model can then be deployed as a web service for real-time text categorization in applications.
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Use this if you are a data scientist or ML engineer looking for a guided example to build, train, and deploy a text classification model using GloVe embeddings and an LSTM neural network.
Not ideal if you are a business user without programming experience looking for a no-code solution to categorize text.
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Jan 25, 2019
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