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-0.3.0.tar.gz
(578.4 kB
view details)
File details
Details for the file probablepeople-0.3.0.tar.gz
.
File metadata
- Download URL: probablepeople-0.3.0.tar.gz
- Upload date:
- Size: 578.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6f01ea998ca24737a138f56f4af425474f44df2c9abaaa737e3fbf4f4c1e664c |
|
MD5 | 2cad10bee93f23535f777035b7d943c7 |
|
BLAKE2b-256 | b0ceba34bcf0eb57afe25b21ee54dd8c3b1d2b253c0df1bc55128e9690656ce2 |