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rasa NLU

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Pros of AYLIEN
Pros of rasa NLU
Pros of SpaCy
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    • 9
      Open Source
    • 6
      Docker Image
    • 6
      Self Hosted
    • 3
      Comes with rasa_core
    • 1
      Enterprise Ready
    • 12
    • 2
      No vendor lock-in

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    Cons of AYLIEN
    Cons of rasa NLU
    Cons of SpaCy
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      • 4
        No interface provided
      • 4
      • 1
        Requires creating a training set and managing training

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      - No public GitHub repository available -
      - No public GitHub repository available -

      What is AYLIEN?

      At the top of each mountain of data lies a nugget of invaluable knowledge, but it takes an incredibly powerful tool to bring that mountain to its knees. That's precisely what our Text Analysis API does.

      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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      Jobs that mention AYLIEN, rasa NLU, and SpaCy as a desired skillset
      What companies use AYLIEN?
      What companies use rasa NLU?
      What companies use SpaCy?

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      What tools integrate with AYLIEN?
      What tools integrate with rasa NLU?
      What tools integrate with SpaCy?
        No integrations found

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