Alternatives to Wit logo

Alternatives to Wit

Wit.ai, Transformers, SpaCy, rasa NLU, and Gensim are the most popular alternatives and competitors to Wit.
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What is Wit and what are its top alternatives?

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.
Wit is a tool in the NLP / Sentiment Analysis category of a tech stack.

Top Alternatives to Wit

  • Wit.ai
    Wit.ai

    Iti is an API that makes it very easy for developers to create applications or devices that you can talk to. Any app, or any device, like a smart watch, Google Glass, Nest, even a car, can stream audio to the Wit API, and get actionable data in return. We turn speech into actions. Think Twilio for Natural Language, with Stripe-level developer friendliness. ...

  • SpaCy
    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. ...

  • Transformers
    Transformers

    It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch. ...

  • rasa NLU
    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. ...

  • Gensim
    Gensim

    It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community. ...

  • Amazon Comprehend
    Amazon Comprehend

    Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications. ...

  • Google Cloud Natural Language API
    Google Cloud Natural Language API

    You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage. ...

  • FastText
    FastText

    It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices. ...

Wit alternatives & related posts

Wit.ai logo

Wit.ai

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Natural Language for Developers
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PROS OF WIT.AI
  • 4
    The interface to train is really easy
  • 3
    It´s free
CONS OF WIT.AI
    Be the first to leave a con

    related Wit.ai posts

    SpaCy logo

    SpaCy

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    Industrial-Strength Natural Language Processing in Python
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    PROS OF SPACY
    • 12
      Speed
    • 2
      No vendor lock-in
    CONS OF SPACY
    • 1
      Requires creating a training set and managing training

    related SpaCy posts

    Transformers logo

    Transformers

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    State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0
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    PROS OF TRANSFORMERS
      Be the first to leave a pro
      CONS OF TRANSFORMERS
        Be the first to leave a con

        related Transformers posts

        rasa NLU logo

        rasa NLU

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        Conversational AI platform, for personalized conversations at scale
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        PROS OF RASA NLU
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          Open Source
        • 6
          Docker Image
        • 6
          Self Hosted
        • 3
          Comes with rasa_core
        • 1
          Enterprise Ready
        CONS OF RASA NLU
        • 4
          No interface provided
        • 4
          Wdfsdf

        related rasa NLU posts

        Gensim logo

        Gensim

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        A python library for Topic Modelling
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        PROS OF GENSIM
          Be the first to leave a pro
          CONS OF GENSIM
            Be the first to leave a con

            related Gensim posts

            Biswajit Pathak
            Project Manager at Sony · | 6 upvotes · 808.4K views

            Can you please advise which one to choose FastText Or Gensim, in terms of:

            1. Operability with ML Ops tools such as MLflow, Kubeflow, etc.
            2. Performance
            3. Customization of Intermediate steps
            4. FastText and Gensim both have the same underlying libraries
            5. Use cases each one tries to solve
            6. Unsupervised Vs Supervised dimensions
            7. Ease of Use.

            Please mention any other points that I may have missed here.

            See more
            Amazon Comprehend logo

            Amazon Comprehend

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            Discover insights and relationships in text
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            PROS OF AMAZON COMPREHEND
              Be the first to leave a pro
              CONS OF AMAZON COMPREHEND
              • 2
                Multi-lingual

              related Amazon Comprehend posts

              Google Cloud Natural Language API logo

              Google Cloud Natural Language API

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              Derive insights from unstructured text using Google machine learning
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              PROS OF GOOGLE CLOUD NATURAL LANGUAGE API
                Be the first to leave a pro
                CONS OF GOOGLE CLOUD NATURAL LANGUAGE API
                • 2
                  Multi-lingual

                related Google Cloud Natural Language API posts

                FastText logo

                FastText

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                Library for efficient text classification and representation learning
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                PROS OF FASTTEXT
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                  Simple
                CONS OF FASTTEXT
                • 1
                  No step by step API support
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                  No in-built performance plotting facility or to get it
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                  No step by step API access

                related FastText posts

                Biswajit Pathak
                Project Manager at Sony · | 6 upvotes · 808.4K views

                Can you please advise which one to choose FastText Or Gensim, in terms of:

                1. Operability with ML Ops tools such as MLflow, Kubeflow, etc.
                2. Performance
                3. Customization of Intermediate steps
                4. FastText and Gensim both have the same underlying libraries
                5. Use cases each one tries to solve
                6. Unsupervised Vs Supervised dimensions
                7. Ease of Use.

                Please mention any other points that I may have missed here.

                See more