rgmining-synthetic-dataset 0.9.2

# A Synthetic Review Dataset [](https://www.gnu.org/copyleft/gpl.html) [](https://travis-ci.org/rgmining/synthetic) [](https://app.wercker.com/project/byKey/41b8ce3d4b5522780908f816eae1a63d) [](https://codeclimate.com/github/rgmining/synthetic) [](https://github.com/rgmining/synthetic/releases/tag/v0.9.2) [](https://pypi.python.org/pypi/rgmining-synthetic-dataset) [](http://qiita.com/jkawamoto/items/9a7647c47998fab4a1ad)

[](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.