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Plasticity vs SpaCy: What are the differences?
Developers describe Plasticity as "APIs for human-like natural language interfaces". Today's personal assistants and conversational interfaces fail to handle variations in a user's wording or multiple requests in one sentence. We take a language-based semantic approach to handle complex dialogue. On the other hand, SpaCy is detailed as "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.
Plasticity and SpaCy belong to "NLP / Sentiment Analysis" category of the tech stack.
Pros of Plasticity
Pros of SpaCy
- Speed12
- No vendor lock-in2
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Cons of Plasticity
Cons of SpaCy
- Requires creating a training set and managing training1