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rasa NLU

120
282
+ 1
25
Thematic

1
9
+ 1
0
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rasa NLU vs Thematic: What are the differences?

rasa NLU: Open source, drop-in replacement for NLP tools like wit.ai. 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; Thematic: Customer Feedback Analysis via NLP. The fastest and most reliable way for finding deep insights in NPS, CSAT, user research surveys and chat logs.

rasa NLU and Thematic belong to "NLP / Sentiment Analysis" category of the tech stack.

rasa NLU is an open source tool with 5.76K GitHub stars and 1.7K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.

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Pros of rasa NLU
Pros of Thematic
  • 9
    Open Source
  • 6
    Docker Image
  • 6
    Self Hosted
  • 3
    Comes with rasa_core
  • 1
    Enterprise Ready
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    Cons of rasa NLU
    Cons of Thematic
    • 4
      No interface provided
    • 4
      Wdfsdf
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      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 Thematic?

      The fastest and most reliable way for finding deep insights in NPS, CSAT, user research surveys and chat logs.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention rasa NLU and Thematic as a desired skillset
      What companies use rasa NLU?
      What companies use Thematic?
        No companies found
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        What tools integrate with rasa NLU?
        What tools integrate with Thematic?

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        What are some alternatives to rasa NLU and Thematic?
        Dialogflow
        Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
        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.
        NLTK
        It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
        TensorFlow
        TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
        Postman
        It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
        See all alternatives