Cloud Mining automatically builds exploratory faceted search systems. It leverages Sphinx as a full text retrieval engine and fSphinx for faceted search. SimSearch is used for item based search. The aim is to provide an interface which will encourage nonlinear search and data exploration. The facets support different visualizations such as tag clouds, histogram counts or a rose diagram and can be extended with pluggins.
Create a file called application.py with the following lines:
from cloudmining import CloudMiningApp # create a new CloudMining web application app = CloudMiningApp() # create a FSphinxClient from a configuration file cl = FSphinxClient.FromConfig('/path/to/config/sphinx_client.py') # set the fsphinx client of the app app.set_fsphinx_client(cl)
Execute application.py and aim your browser at http://localhost:8080:
On data from IMDb, you obtain the following interface:
And after customization, you get: