Skip to main content

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


Download files

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

Source Distribution

probablepeople-0.4.5.tar.gz (689.3 kB view details)

Uploaded Source

File details

Details for the file probablepeople-0.4.5.tar.gz.

File metadata

File hashes

Hashes for probablepeople-0.4.5.tar.gz
Algorithm Hash digest
SHA256 a4bf2e15fd305346cc455e94bc1c13ea8367683c43cde4c1c60631d5e969e8ec
MD5 d2819a5fd0ad9d0cd523b09be308fce1
BLAKE2b-256 d0a35cc8e1409107abbacc8f0a44411e1404455fa781870f74b1921dc3c7674c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page