A synthetic dataset for Review graph mining project
Project description
# A Synthetic Review Dataset [![GPLv3](https://img.shields.io/badge/license-GPLv3-blue.svg)](https://www.gnu.org/copyleft/gpl.html) [![Build Status](https://travis-ci.org/rgmining/synthetic.svg?branch=master)](https://travis-ci.org/rgmining/synthetic) [![wercker status](https://app.wercker.com/status/41b8ce3d4b5522780908f816eae1a63d/s/master “wercker status”)](https://app.wercker.com/project/byKey/41b8ce3d4b5522780908f816eae1a63d) [![Code Climate](https://codeclimate.com/github/rgmining/synthetic/badges/gpa.svg)](https://codeclimate.com/github/rgmining/synthetic) [![Release](https://img.shields.io/badge/release-0.9.2-brightgreen.svg)](https://github.com/rgmining/synthetic/releases/tag/v0.9.2) [![PyPi](https://img.shields.io/badge/pypi-0.9.2-brightgreen.svg)](https://pypi.python.org/pypi/rgmining-synthetic-dataset) [![Japanese](https://img.shields.io/badge/qiita-%E6%97%A5%E6%9C%AC%E8%AA%9E-brightgreen.svg)](http://qiita.com/jkawamoto/items/9a7647c47998fab4a1ad)
[![Logo](https://rgmining.github.io/synthetic/_static/image.png)](https://rgmining.github.io/synthetic/)
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.
`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.
`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.
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