spaCy is a library built on the very latest research for advanced Natural Language Processing (NLP) in Python and Cython. Since its inception it was designed to be used for real world applications-- for building real products and gathering real insights. It comes with pretrained statistical models and word vectors, convolutional neural network models, easy deep learning integration and so much more. spaCy is the fastest syntactic parser in the world according to independent benchmarks, with an accuracy within 1% of the best available. It's blazing fast, easy to install and comes with a simple and productive API.

Features

  • Non-destructive tokenization
  • Recognition of Named entity
  • Pretrained statistical models and word vectors
  • Blazing fast speed
  • Robust, rigorously evaluated accuracy
  • Easy deep learning integration
  • Part-of-speech tagging
  • Labelled dependency parsing
  • Convenient string-to-hash mapping
  • Syntax-driven sentence segmentation
  • Built in visualizers for syntax and NER
  • Efficient binary serialization
  • Numpy data arrays exporting
  • Easy model packaging and deployment
  • Supports 50+ languages

Project Samples

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License

MIT License

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spaCy Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Neural Network Libraries, Python Deep Learning Frameworks, Python Natural Language Processing (NLP) Tool

Registered

2020-11-19