{ "info": { "author": "Lettier", "author_email": "noun_hound@lettier.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Topic :: Text Processing" ], "description": "NounHound\r\n=========\r\n\r\nDescription\r\n-----------\r\n\r\nExtracts nouns and noun phrases from any given text.\r\n\r\nInstall\r\n-------\r\n\r\n.. code:: bash\r\n\r\n pip install noun_hound\r\n\r\nUsage\r\n-----\r\n\r\n.. code:: python\r\n\r\n >>> from noun_hound import NounHound\r\n >>> noun_hound = NounHound()\r\n >>> noun_hound.process('''Long time Pythoneer Tim Peters succinctly channels the BDFL's\r\n ... guiding principles for Python's design into 20 aphorisms, only 19\r\n ... of which have been written down.''')\r\n {u'noun_phrases': [u'Long time Pythoneer Tim Peters',\r\n u\"Python's design\",\r\n u\"BDFL's\",\r\n u'guiding principles',\r\n u'20 aphorisms',\r\n u'channels'],\r\n u'nouns': [u'Pythoneer',\r\n u\"Python's\",\r\n u'Peters',\r\n u\"BDFL's\",\r\n u'Tim',\r\n u'principles',\r\n u'aphorisms',\r\n u'channels',\r\n u'design',\r\n u'time']}\r\n\r\nCopyright\r\n---------\r\n\r\nCopyright (C) 2015 David Lettier.\r\n\r\nLicense\r\n-------\r\n\r\nFor license information, see `Apache License Version 2.0`_.\r\n\r\n.. _Apache License Version 2.0: https://www.apache.org/licenses/LICENSE-2.0", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "", "keywords": "nlp natural language processing phrase extraction chunking", "license": "Apache License, Version 2.0", "maintainer": "", "maintainer_email": "", "name": "noun-hound", "package_url": "https://pypi.org/project/noun-hound/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/noun-hound/", "project_urls": null, "release_url": "https://pypi.org/project/noun-hound/1.0.0/", "requires_dist": null, "requires_python": null, "summary": "Finds nouns and noun phrases in any given text.", "version": "1.0.0" }, "last_serial": 1862889, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "d91ac535a2a1fff667e87704628030fe", "sha256": "070a2f287995589fce18fd9cd8d91f8b80b171d722085e2eeb384759a06f0326" }, "downloads": -1, "filename": "noun_hound-1.0.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "d91ac535a2a1fff667e87704628030fe", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 22694161, "upload_time": "2015-12-15T07:03:55", "url": "https://files.pythonhosted.org/packages/c8/ee/801e4a69e2c6bd6bbc3620e634a6d47763213f0459020d89e6008603892f/noun_hound-1.0.0-py2.py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "d91ac535a2a1fff667e87704628030fe", "sha256": "070a2f287995589fce18fd9cd8d91f8b80b171d722085e2eeb384759a06f0326" }, "downloads": -1, "filename": "noun_hound-1.0.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "d91ac535a2a1fff667e87704628030fe", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 22694161, "upload_time": "2015-12-15T07:03:55", "url": "https://files.pythonhosted.org/packages/c8/ee/801e4a69e2c6bd6bbc3620e634a6d47763213f0459020d89e6008603892f/noun_hound-1.0.0-py2.py3-none-any.whl" } ] }