Flair vs Google Cloud Natural Language API

Flair

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Google Cloud Natural Language API

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Flair vs Google Cloud Natural Language API: What are the differences?

Developers describe Flair as "A simple framework for natural language processing". Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification. On the other hand, Google Cloud Natural Language API is detailed as "Derive insights from unstructured text using Google machine learning". 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.

Flair and Google Cloud Natural Language API belong to "NLP / Sentiment Analysis" category of the tech stack.

Flair is an open source tool with 6.52K GitHub stars and 665 GitHub forks. Here's a link to Flair's open source repository on GitHub.

Pros of Flair
Pros of Google Cloud Natural Language API
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    Cons of Flair
    Cons of Google Cloud Natural Language API
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      - No public GitHub repository available -

      What is Flair?

      Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.

      What is 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.
      What companies use Flair?
      What companies use Google Cloud Natural Language API?
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        What tools integrate with Flair?
        What tools integrate with Google Cloud Natural Language API?
        What are some alternatives to Flair and Google Cloud Natural Language API?
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        Keen
        Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.
        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.
        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.
        See all alternatives
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