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Amazon Comprehend

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IBM Watson

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Amazon Comprehend vs IBM Watson: What are the differences?

Amazon Comprehend: Discover insights and relationships in text. 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; IBM Watson: A question-answering computer system capable of answering questions posed in natural language. It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.

Amazon Comprehend can be classified as a tool in the "NLP / Sentiment Analysis" category, while IBM Watson is grouped under "Chatbot Platforms & Tools".

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Pros of Amazon Comprehend
Pros of IBM Watson
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    • 3
      Api
    • 1
      Prebuilt front-end GUI
    • 1
      Intent auto-generation
    • 1
      Custom webhooks
    • 1
      Disambiguation

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    Cons of Amazon Comprehend
    Cons of IBM Watson
    • 2
      Multi-lingual
    • 1
      Multi-lingual

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    What is 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.

    What is IBM Watson?

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

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    What companies use Amazon Comprehend?
    What companies use IBM Watson?
    See which teams inside your own company are using Amazon Comprehend or IBM Watson.
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    What tools integrate with Amazon Comprehend?
    What tools integrate with IBM Watson?
    What are some alternatives to Amazon Comprehend and IBM Watson?
    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 (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
    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.
    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.
    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.
    See all alternatives