Metadata-Version: 1.1
Name: rgmining-synthetic-dataset
Version: 0.9.3
Summary: A synthetic dataset for Review graph mining project
Home-page: https://github.com/rgmining/synthetic
Author: Junpei Kawamoto
Author-email: kawamoto.junpei@gmail.com
License: GPLv3
Description: A Synthetic Review Dataset
        ==========================
        
        | |GPLv3|
        | |Build Status|
        | |wercker status|
        | |Code Climate|
        | |Release|
        | |PyPi|
        | |Japanese|
        
        |Logo|
        
        This package provides a method to load a synthetic review dataset.
        
        The synthetic review dataset has been introduced in the following paper:
        
        -  Kazuki Tawaramoto, `Junpei Kawamoto <https://www.jkawamoto.info>`__,
           `Yasuhito
           Asano <http://www.iedu.i.kyoto-u.ac.jp/intro/member/asano>`__, and
           `Masatoshi
           Yoshikawa <http://www.db.soc.i.kyoto-u.ac.jp/~yoshikawa/>`__,
           "`A Bipartite Graph Model and Mutually Reinforcing Analysis for
           Review
           Sites <http://www.anrdoezrs.net/links/8186671/type/dlg/http://link.springer.com/chapter/10.1007%2F978-3-642-23088-2_25>`__,"
           Proc. of `the 22nd International Conference on Database and Expert
           Systems
           Applications <http://www.dexa.org/previous/dexa2011/index.html>`__
           (DEXA 2011),
           pp.341-348, Toulouse, France, August 31, 2011.
        
        Installation
        ------------
        
        Use ``pip`` to install this package.
        
        .. code:: shell
        
            pip install --upgrade rgmining-synthetic-dataset
        
        Usage
        -----
        
        | This package provides ``load`` method which takes a graph object and
          adds
        | reviewers, products and reviews to the graph.
        
        .. code:: py
        
            # `graph` is an instance of a graph class.
            import synthetic
            synthetic.load(graph)
        
        | This package also provides an executable script,
          ``synthetic-evaluation``.
        | See the
          `document <https://rgmining.github.io/synthetic/scripts.html>`__
        | for more information.
        
        License
        -------
        
        | This software is released under The GNU General Public License Version
          3,
        | see `COPYING <COPYING>`__ for more detail.
        
        .. |GPLv3| image:: https://img.shields.io/badge/license-GPLv3-blue.svg
           :target: https://www.gnu.org/copyleft/gpl.html
        .. |Build Status| image:: https://travis-ci.org/rgmining/synthetic.svg?branch=master
           :target: https://travis-ci.org/rgmining/synthetic
        .. |wercker status| image:: https://app.wercker.com/status/41b8ce3d4b5522780908f816eae1a63d/s/master
           :target: https://app.wercker.com/project/byKey/41b8ce3d4b5522780908f816eae1a63d
        .. |Code Climate| image:: https://codeclimate.com/github/rgmining/synthetic/badges/gpa.svg
           :target: https://codeclimate.com/github/rgmining/synthetic
        .. |Release| image:: https://img.shields.io/badge/release-0.9.3-brightgreen.svg
           :target: https://github.com/rgmining/synthetic/releases/tag/v0.9.3
        .. |PyPi| image:: https://img.shields.io/badge/pypi-0.9.3-brightgreen.svg
           :target: https://pypi.python.org/pypi/rgmining-synthetic-dataset
        .. |Japanese| image:: https://img.shields.io/badge/qiita-%E6%97%A5%E6%9C%AC%E8%AA%9E-brightgreen.svg
           :target: http://qiita.com/jkawamoto/items/9a7647c47998fab4a1ad
        .. |Logo| image:: https://rgmining.github.io/synthetic/_static/image.png
           :target: https://rgmining.github.io/synthetic/
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Scientific/Engineering :: Information Analysis
