{ "info": { "author": "Junpei Kawamoto", "author_email": "kawamoto.junpei@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Natural Language :: English", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Software Development :: Libraries" ], "description": "A Synthetic Review Dataset\n==========================\n\n| |GPLv3|\n| |Build Status|\n| |wercker status|\n| |Code Climate|\n| |Release|\n| |PyPi|\n| |Japanese|\n\n|Logo|\n\nThis package provides a method to load a synthetic review dataset.\n\nThe synthetic review dataset has been introduced in the following paper:\n\n- Kazuki Tawaramoto, `Junpei Kawamoto `__,\n `Yasuhito\n Asano `__, and\n `Masatoshi\n Yoshikawa `__,\n \"`A Bipartite Graph Model and Mutually Reinforcing Analysis for\n Review\n Sites `__,\"\n Proc. of `the 22nd International Conference on Database and Expert\n Systems\n Applications `__\n (DEXA 2011),\n pp.341-348, Toulouse, France, August 31, 2011.\n\nInstallation\n------------\n\nUse ``pip`` to install this package.\n\n.. code:: shell\n\n pip install --upgrade rgmining-synthetic-dataset\n\nUsage\n-----\n\n| This package provides ``load`` method which takes a graph object and\n adds\n| reviewers, products and reviews to the graph.\n\n.. code:: py\n\n # `graph` is an instance of a graph class.\n import synthetic\n synthetic.load(graph)\n\n| This package also provides an executable script,\n ``synthetic-evaluation``.\n| See the\n `document `__\n| for more information.\n\nLicense\n-------\n\n| This software is released under The GNU General Public License Version\n 3,\n| see `COPYING `__ for more detail.\n\n.. |GPLv3| image:: https://img.shields.io/badge/license-GPLv3-blue.svg\n :target: https://www.gnu.org/copyleft/gpl.html\n.. |Build Status| image:: https://travis-ci.org/rgmining/synthetic.svg?branch=master\n :target: https://travis-ci.org/rgmining/synthetic\n.. |wercker status| image:: https://app.wercker.com/status/41b8ce3d4b5522780908f816eae1a63d/s/master\n :target: https://app.wercker.com/project/byKey/41b8ce3d4b5522780908f816eae1a63d\n.. |Code Climate| image:: https://codeclimate.com/github/rgmining/synthetic/badges/gpa.svg\n :target: https://codeclimate.com/github/rgmining/synthetic\n.. |Release| image:: https://img.shields.io/badge/release-0.9.3-brightgreen.svg\n :target: https://github.com/rgmining/synthetic/releases/tag/v0.9.3\n.. |PyPi| image:: https://img.shields.io/badge/pypi-0.9.3-brightgreen.svg\n :target: https://pypi.python.org/pypi/rgmining-synthetic-dataset\n.. |Japanese| image:: https://img.shields.io/badge/qiita-%E6%97%A5%E6%9C%AC%E8%AA%9E-brightgreen.svg\n :target: http://qiita.com/jkawamoto/items/9a7647c47998fab4a1ad\n.. |Logo| image:: https://rgmining.github.io/synthetic/_static/image.png\n :target: 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