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💫 Industrial-strength Natural Language Processing (NLP) in Python
aiartificial-intelligencecythondata-sciencedeep-learningentity-linkingmachine-learningnamed-entity-recognitionnatural-language-processingneural-networkneural-networksnlpnlp-librarypythonspacystarred-explosion-repostarred-repotext-classificationtokenization
bin | ||
contributors | ||
docs | ||
lang_data/en | ||
spacy | ||
tests | ||
.gitignore | ||
.travis.yml | ||
bootstrap_python_env.sh | ||
dev_setup.py | ||
fabfile.py | ||
LICENSE.txt | ||
MANIFEST.in | ||
README.md | ||
requirements.txt | ||
setup.py | ||
wordnet_license.txt |
spaCy
http://honnibal.github.io/spaCy
A pipeline for fast, state-of-the-art natural language processing. Commercial licenses available, otherwise under AGPL.
Version 0.80 released
2015-04-13
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Preliminary support for named-entity recognition. Its accuracy is substantially behind the state-of-the-art. I'm working on improvements.
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Better sentence boundary detection, drawn from the syntactic structure.
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Lots of bug fixes.
Supports:
- CPython 2.7
- CPython 3.4
- OSX
- Linux
- Cygwin
Want to support:
- Visual Studio
Difficult to support:
- PyPy 2.7
- PyPy 3.4