Alternatives to Amazon Comprehend logo

Alternatives to Amazon Comprehend

IBM Watson, SpaCy, rasa NLU, Gensim, and Google Cloud Natural Language API are the most popular alternatives and competitors to Amazon Comprehend.
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What is Amazon Comprehend and what are its top alternatives?

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

Top Alternatives to Amazon Comprehend

  • IBM Watson

    IBM Watson

    It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine. ...

  • 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. ...

  • 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. ...

  • 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. ...

  • Spark NLP

    Spark NLP

    It is a Natural Language Processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines that scale easily in a distributed environment. It comes with 160+ pretrained pipelines and models in more than 20+ 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. ...

Amazon Comprehend alternatives & related posts

IBM Watson logo

IBM Watson

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A question-answering computer system capable of answering questions posed in natural language
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PROS OF IBM WATSON
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    Api
  • 1
    Prebuilt front-end GUI
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    Intent auto-generation
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    Custom webhooks
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    Disambiguation
CONS OF IBM WATSON
  • 1
    Multi-lingual

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SpaCy logo

SpaCy

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

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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
    Self Hosted
  • 5
    Docker Image
  • 3
    Comes with rasa_core
  • 1
    Enterprise Ready
CONS OF RASA NLU
  • 2
    No interface provided
  • 1
    Wdfsdf

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Gensim logo

Gensim

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A python library for Topic Modelling
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PROS OF GENSIM
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    CONS OF GENSIM
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      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

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        FastText logo

        FastText

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        Library for efficient text classification and representation learning
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        PROS OF FASTTEXT
        • 1
          Simple
        CONS OF FASTTEXT
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          Spark NLP logo

          Spark NLP

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          State of the Art Natural Language Processing
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          PROS OF SPARK NLP
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            CONS OF SPARK NLP
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              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
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