Parse US addresses using conditional random fields
Project description
- 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')]
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
usaddress-0.5.10.tar.gz
(64.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file usaddress-0.5.10.tar.gz.
File metadata
- Download URL: usaddress-0.5.10.tar.gz
- Upload date:
- Size: 64.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1a8ebf62d0cce58d7d8286dde70373c530a9317b6fe1752a4197b75b7d0870e3
|
|
| MD5 |
27965f4884050ec610301055958fe509
|
|
| BLAKE2b-256 |
89596ae17a9718fdbf43e19f6d7ab89f0916cae489ccd766d1505d2ad802c4d6
|
File details
Details for the file usaddress-0.5.10-py2.py3-none-any.whl.
File metadata
- Download URL: usaddress-0.5.10-py2.py3-none-any.whl
- Upload date:
- Size: 63.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4d66b11fdbec84f18d1bac8614fea2d1be1bb027e55849b5e2c1057bbca17437
|
|
| MD5 |
8df37b4dcb23d870592ad8be4493d3b7
|
|
| BLAKE2b-256 |
d36c3da44f6f41834cd4c2c0fadf29d11e8493bcf80811f5bd9ec542a08b9996
|