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 | 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
probablepeople-0.5.1.tar.gz
(507.2 kB
view details)
File details
Details for the file probablepeople-0.5.1.tar.gz
.
File metadata
- Download URL: probablepeople-0.5.1.tar.gz
- Upload date:
- Size: 507.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d10f4e70c13352bccad3d7acaf6f0484b1e5c50a007d4c48ea8dc797cd49afe |
|
MD5 | 9c724e0cc00fd36ec4d3c4052b2fe0c9 |
|
BLAKE2b-256 | 7737995020238b1499aaeb14da353cc3a473ce691c97209ec5c7f87dfe593a10 |