NLP Fundamentals — Text Classifier(P3)

“A good way to deal with embeddings in production systems is to load them in a in-memory database such as redis and build a cache on top for faster access.”

As of today, fastText is a silver bullet for text classification. It is extremely fast to train and very useful for setting up very strong baselines. The flip side is the model size.

Often deep learning based text classifiers are nothing but a condensed representation of the data they were trained on. These models are often as good as the training dataset. Selecting the right dataset becomes all the more important in such cases.



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