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SpaCy vs FastText: What are the differences?
SpaCy: Industrial-Strength Natural Language Processing in Python. It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages; FastText: Library for efficient text classification and representation learning. It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
SpaCy and FastText can be categorized as "NLP / Sentiment Analysis" tools.
Pros of FastText
Pros of SpaCy
- No vendor lock-in2
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Cons of FastText
- No step by step API support1
- No in-built performance plotting facility or to get it1
- No step by step API access1
Cons of SpaCy
- Requires creating a training set and managing training1