Metadata-Version: 2.0
Name: usaddress
Version: 0.5.8
Summary: Parse US addresses using conditional random fields
Home-page: https://github.com/datamade/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 :: 2 :: Only
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Dist: future
Requires-Dist: probableparsing
Requires-Dist: python-crfsuite (>=0.7)

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')]


