Amazon Comprehend vs NeuronBlocks vs SpaCy

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Amazon Comprehend

50
138
+ 1
0
NeuronBlocks

2
8
+ 1
0
SpaCy

216
294
+ 1
14
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Pros of Amazon Comprehend
Pros of NeuronBlocks
Pros of SpaCy
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      • 12
        Speed
      • 2
        No vendor lock-in

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      Cons of Amazon Comprehend
      Cons of NeuronBlocks
      Cons of SpaCy
      • 2
        Multi-lingual
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        • 1
          Requires creating a training set and managing training

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        - No public GitHub repository available -

        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 NeuronBlocks?

        It is a NLP deep learning modeling toolkit that helps engineers/researchers to build end-to-end pipelines for neural network model training for NLP tasks. The main goal of this toolkit is to minimize developing cost for NLP deep neural network model building, including both training and inference stages.

        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 Amazon Comprehend, NeuronBlocks, and SpaCy as a desired skillset
        What companies use Amazon Comprehend?
        What companies use NeuronBlocks?
        What companies use SpaCy?
          No companies found

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          What tools integrate with Amazon Comprehend?
          What tools integrate with NeuronBlocks?
          What tools integrate with SpaCy?
            No integrations found
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