Metadata-Version: 2.1
Name: scrubadub-address
Version: 2.0.0
Summary: Use the Stanford NER model to clean personally identifiable information from dirty dirty text.
Home-page: https://github.com/LeapBeyond/scrubadub_address
Author: Thomas Bird
Author-email: thomas.bird@leapbeyond.ai
License: MIT
Download-URL: https://github.com/LeapBeyond/scrubadub_address/archives/master
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing
Classifier: Topic :: Utilities
License-File: LICENSE


.. NOTES FOR CREATING A RELEASE:
..
..   * bump the version number in scrubadub_stanford/__init__.py
..   * update docs/changelog.rst
..   * git push
..   * create a release https://github.com/LeapBeyond/scrubadub_address/releases
..      * This should trigger a github action to upload to pypi
..      * ReadTheDocs.io should see any changes and also rebuild the docs


*****************
scrubadub_address
*****************

``scrubadub`` removes personally identifiable information from text.
``scrubadub_address`` is an extension that uses ``pyap`` and ``libpostal`` to remove addresses from text.

This package contains one extra detector:

* ``scrubadub_address.detectors.AddressDetector`` - A detector that finds British, American and Canadian addresses.

For more information on how to use this package see the
`scrubadub address documentation <https://scrubadub.readthedocs.io/en/develop/addresses.html>`_
and the `scrubadub repository <https://github.com/LeapBeyond/scrubadub>`_.


.. image:: https://img.shields.io/github/workflow/status/LeapBeyond/scrubadub_address/Python%20package/main
   :target: https://github.com/LeapBeyond/scrubadub_address/actions?query=workflow%3A%22Python+package%22+branch%3Amain
   :alt:  Build Status
.. image:: https://img.shields.io/pypi/v/scrubadub_address.svg
   :target: https://pypi.org/project/scrubadub_address/
   :alt:  Version
.. image:: https://img.shields.io/pypi/dm/scrubadub_address.svg
   :target: https://pypi.org/project/scrubadub_address/
   :alt:  Downloads
.. image:: https://coveralls.io/repos/github/LeapBeyond/scrubadub_address/badge.svg?branch=master
   :target: https://coveralls.io/r/LeapBeyond/scrubadub_address
   :alt:  Test Coverage
.. image:: https://readthedocs.org/projects/scrubadub/badge/?version=latest
   :target: https://readthedocs.org/projects/scrubadub/?badge=latest
   :alt:  Documentation Status


New maintainers
---------------

`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/>`_.


