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FastText

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UBIAI

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UBIAI vs FastText: What are the differences?

What is UBIAI? An easy-to-use text annotation tool for NLP applications. It is an efficient and easy-to-use text annotation tool for Natural Language Processing (NLP) applications. With this, you can train an NLP model in few hours by collaborating with team members and using the machine learning auto-annotation feature.

What is FastText? Library for efficient text classification and representation learning. 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.

UBIAI can be classified as a tool in the "Data Labeling as a Service" category, while FastText is grouped under "NLP / Sentiment Analysis".

FastText is an open source tool with 21.6K GitHub stars and 4.18K GitHub forks. Here's a link to FastText's open source repository on GitHub.

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Pros of FastText
Pros of UBIAI
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    Simple
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    Cons of FastText
    Cons of UBIAI
    • 1
      No step by step API support
    • 1
      No in-built performance plotting facility or to get it
    • 1
      No step by step API access
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      What is 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.

      What is UBIAI?

      It is an efficient and easy-to-use text annotation tool for Natural Language Processing (NLP) applications. With this, you can train an NLP model in few hours by collaborating with team members and using the machine learning auto-annotation feature.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use FastText?
      What companies use UBIAI?
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        What tools integrate with FastText?
        What tools integrate with UBIAI?
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          What are some alternatives to FastText and UBIAI?
          TensorFlow
          TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
          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.
          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.
          Postman
          It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
          Postman
          It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
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