NounHound
Description
Extracts nouns and noun phrases from any given text.
Install
pip install noun_houndUsage
>>> 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.
1 maintainer
Metadata
1 maintainer
Release files for noun-hound 1.0.0
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| noun_hound-1.0.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for noun_hound-1.0.0-py2.py3-none-any.whl |
Release files / noun_hound-1.0.0-py2.py3-none-any.whl
| Download URL | noun_hound-1.0.0-py2.py3-none-any.whl |
|---|---|
| Size | 22.7 MB |
| Tags | Python 2 Python 3 |
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Security for noun-hound 1.0.0
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