Finds nouns and noun phrases in any given text.
Project description
Description
Extracts nouns and noun phrases from any given text.
Install
pip install noun_hound
Usage
>>> from noun_hound import NounHound
>>> noun_hound = NounHound()
>>> noun_hound.process('''Long time Pythoneer Tim Peters succinctly channels the BDFL's
... guiding principles for Python's design into 20 aphorisms, only 19
... of which have been written down.''')
{u'noun_phrases': [u'Long time Pythoneer Tim Peters',
u"Python's design",
u"BDFL's",
u'guiding principles',
u'20 aphorisms',
u'channels'],
u'nouns': [u'Pythoneer',
u"Python's",
u'Peters',
u"BDFL's",
u'Tim',
u'principles',
u'aphorisms',
u'channels',
u'design',
u'time']}
Copyright
Copyright (C) 2015 David Lettier.
License
For license information, see Apache License Version 2.0.
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 Distributions
No source distribution files available for this release.
See tutorial on generating distribution archives.
Built Distribution
Close
Hashes for noun_hound-1.0.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 070a2f287995589fce18fd9cd8d91f8b80b171d722085e2eeb384759a06f0326 |
|
MD5 | d91ac535a2a1fff667e87704628030fe |
|
BLAKE2b-256 | c8ee801e4a69e2c6bd6bbc3620e634a6d47763213f0459020d89e6008603892f |