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    "info": {
        "author": "Charles Marsh",
        "author_email": "crmarsh@princeton.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Human Machine Interfaces",
            "Topic :: Text Processing :: Linguistic"
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        "description": "===========\nSemantic\n===========\n\n.. image:: https://badge.fury.io/py/semantic.png\n    :target: http://badge.fury.io/py/semantic\n\nSemantic is a Python library for extracting semantic information from text, including dates, numbers, mathematical equations, and unit conversions.\n\nFor each of these four semantic types, semantic provides a service module. Typical usage often looks like this::\n\n    #!/usr/bin/env python\n    from semantic.dates import DateService\n\n    service = DateService()\n    date = service.extractDate(\"On March 3 at 12:15pm...\")\n    ...\n\nThe full documentation can be found `here <https://pythonhosted.org/semantic/>`_, while the source code itself is also available on `GitHub <https://github.com/crm416/semantic>`_.\n\nInstallation\n============\n\nInstalling semantic is simple::\n\n    $ pip install semantic\n\nFeatures\n========\n\nsemantic contains four main modules, each of which corresponds to a different semantic extractor.\n\nDates (*date.py*)\n-----------------\n\nUseful for:\n\n* Extracting relative (e.g., \"a week from today\") and absolute (e.g., \"December 11, 2013\") dates from text snippets.\n* Converting date objects to human-ready phrasing.\n\nNumbers (*number.py*)\n---------------------\n\nUseful for:\n\n* Extracting numbers (integers or floats) from text snippets.\n* Converting numbers to human-readable strings.\n\nExample usage::\n\n    #!/usr/bin/env python\n    from semantic.numbers import NumberService\n\n    service = NumberService()\n\n    print service.parse(\"Two hundred and six\")\n    # 206\n\n    print service.parse(\"Five point one five\")\n    # 5.15\n\n    print service.parse(\"Eleven and two thirds\")\n    # 11.666666666666666\n\n    print service.parseMagnitude(\"7e-05\")\n    # \"seven to the negative five\"\n\n\nMath (*solver.py*)\n------------------\n\nUseful for performing mathematical operations expressed as words.\n\nExample usage::\n\n    #!/usr/bin/env python\n    from semantic.solver import MathService\n\n    service = MathService()\n\n    print service.parseEquation(\"Log one hundred and ten\")\n    # 4.70048\n\nUnits (*units.py*)\n------------------\n\nUseful for converting between units expressed as words.\n\nExample usage::\n\n    #!/usr/bin/env python\n    from semantic.units import ConversionService\n\n    service = ConversionService()\n\n    print service.convert(\"Seven and a half kilograms to pounds\")\n    # (16.534, 'lbs')\n\n    print service.convert(\"Seven and a half pounds per square foot to kilograms per meter squared\")\n    # (36.618, 'kg/m**2')\n\n\nTesting\n=======\n\nThe test suite (*test.py*) contains tons of examples and use-cases for each of the four modules.\n\nRequirements\n============\n\nThe Dates, Numbers, and Math modules can run in isolation (i.e., without any dependencies), while the Units module requires `quantities <https://pypi.python.org/pypi/quantities>`_ and `Numpy <http://www.numpy.org>`_.\n\nLicense\n=======\n\nMIT \u00a9 `Charles Marsh <http://www.princeton.edu/~crmarsh>`_",
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        "name": "semantic3",
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        "summary": "Common Natural Language Processing Tasks for Python",
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