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Pros of rasa NLU
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Pros of rasa NLU
- Open Source9
- Docker Image6
- Self Hosted6
- Comes with rasa_core3
- Enterprise Ready1
Pros of SpaCy
- Speed12
- No vendor lock-in2
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Cons of prose
Cons of rasa NLU
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Cons of rasa NLU
- No interface provided4
- Wdfsdf4
Cons of SpaCy
- Requires creating a training set and managing training1
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What is prose?
prose is a natural language processing library (English only, at the moment) in pure Go. It supports tokenization, segmentation, part-of-speech tagging, and named-entity extraction.
What is rasa NLU?
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
What is SpaCy?
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.
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What are some alternatives to prose, rasa NLU, and SpaCy?
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