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SpaCy vs Wit: What are the differences?
What is 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.
What is Wit? Natural Language for the Internet of Things. Turn speech into actionable data. Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.
SpaCy and Wit can be categorized as "NLP / Sentiment Analysis" tools.
Pros of SpaCy
- Speed12
- No vendor lock-in2
Pros of Wit
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Cons of SpaCy
- Requires creating a training set and managing training1