Metadata-Version: 2.1
Name: agrc-usaddress
Version: 0.6.1
Summary: Parse US (optimized for Utah by AGRC) addresses using conditional random fields
Home-page: https://github.com/agrc/usaddress
Author: UNKNOWN
Author-email: UNKNOWN
License: The MIT License: http://www.opensource.org/licenses/mit-license.php
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Dist: python-crfsuite (>=0.7)
Requires-Dist: future (>=0.14)
Requires-Dist: probableparsing


usaddress is a python library for parsing unstructured address strings into
address components, using advanced NLP methods.

From the python interpreter:

>>> import usaddress
>>> usaddress.parse('123 Main St. Suite 100 Chicago, IL')
[('123', 'AddressNumber'),
 ('Main', 'StreetName'),
 ('St.', 'StreetNamePostType'),
 ('Suite', 'OccupancyType'),
 ('100', 'OccupancyIdentifier'),
 ('Chicago,', 'PlaceName'),
 ('IL', 'StateName')]


