# 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/v0.9.1) [](https://pypi.python.org/pypi/rgmining-synthetic-dataset) [](http://qiita.com/jkawamoto/items/9a7647c47998fab4a1ad)
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) `
## License This software is released under The GNU General Public License Version 3, see [COPYING](COPYING) for more detail.
Metadata
Release files for rgmining-synthetic-dataset 0.9.1
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| rgmining_synthetic_dataset-0.9.1-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 197.8 kB
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