.. NOTES FOR CREATING A RELEASE: .. .. bump the version number in scrubadub/init.py .. update docs/changelog.rst .. git push .. create a release https://github.com/LeapBeyond/scrubadub/releases .. This should trigger a github action to upload to pypi .. ReadTheDocs.io should see any changes and also rebuild the docs
scrubadub_spacy
scrubadub removes personally identifiable information from text.
scrubadub_spacy is an extension that uses spaCy NLP models to remove personal information from text.
This package contains two extra detectors:
scrubadub_spacy.detectors.SpacyEnityDetector - A detector that uses the spacy NER model to find locations, names, dates and other entities.scrubadub_spacy.detectors.SpacyNameDetector - A detector that uses the spacy NER model and context words to find names in text.For more information on how to use this package see the
scrubadub spacy documentation <https://scrubadub.readthedocs.io/en/develop/names.html#spacy>
and the scrubadub repository <https://github.com/LeapBeyond/scrubadub>.
.. image:: https://img.shields.io/github/workflow/status/LeapBeyond/scrubadub_spacy/Python%20package/main :target: https://github.com/LeapBeyond/scrubadub_spacy/actions?query=workflow%3A%22Python+package%22+branch%3Amain :alt: Build Status .. image:: https://img.shields.io/pypi/v/scrubadub_spacy.svg :target: https://pypi.org/project/scrubadub_spacy/ :alt: Version .. image:: https://img.shields.io/pypi/dm/scrubadub_spacy.svg :target: https://pypi.org/project/scrubadub_spacy/ :alt: Downloads .. image:: https://coveralls.io/repos/github/LeapBeyond/scrubadub_spacy/badge.svg?branch=main :target: https://coveralls.io/r/LeapBeyond/scrubadub_spacy :alt: Test Coverage .. image:: https://readthedocs.org/projects/scrubadub/badge/?version=latest :target: https://readthedocs.org/projects/scrubadub/?badge=latest :alt: Documentation Status
LeapBeyond <http://leapbeyond.ai/> are excited to be supporting scrubadub with ongoing maintenance and development.
Thanks to all of the contributors who made this package a success, but especially @deanmalmgren <https://github.com/deanmalmgren>, IDEO <https://www.ideo.com/> and Datascope <https://datascopeanalytics.com/>.