Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

Parse romanized names & companies using advanced NLP methods

Project description

probablepeople is a python library for parsing unstructured romanized name or company strings into components, using conditional random fields.

>From the python interpreter:

>>> import probablepeople
>>> probablepeople.parse('Mr George "Gob" Bluth II')
[('Mr', 'PrefixMarital'),
 ('George', 'GivenName'),
 ('"Gob"', 'Nickname'),
 ('Bluth', 'Surname'),
 ('II', 'SuffixGenerational')]
>>> probablepeople.parse('Sitwell Housing Inc')
[('Sitwell', 'CorporationName'),
 ('Housing', 'CorporationName'),
 ('Inc', 'CorporationLegalType')]

Project details


Release history Release notifications

This version
History Node

0.5.4

History Node

0.5.2

History Node

0.5.1

History Node

0.5

History Node

0.4.5

History Node

0.4.4

History Node

0.4.3

History Node

0.4.2

History Node

0.4.1

History Node

0.4

History Node

0.3.2

History Node

0.3.1

History Node

0.3.0

History Node

0.2.1

History Node

0.2.0

History Node

0.1.3

History Node

0.1.2

History Node

0.1.1

History Node

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
probablepeople-0.5.4-py2.py3-none-any.whl (888.2 kB) Copy SHA256 hash SHA256 Wheel py2.py3 May 30, 2017
probablepeople-0.5.4.tar.gz (882.9 kB) Copy SHA256 hash SHA256 Source None May 30, 2017

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page