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.
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Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
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noun_hound-1.0.0-py2.py3-none-any.whl (22.7 MB) Copy SHA256 hash SHA256 | Wheel | py2.py3 | Dec 15, 2015 |