Metadata-Version: 2.0
Name: tf-literature-based-discovery
Version: 0.0.6
Summary: TextFlows module for literature-based cross-context discovery
Home-page: https://github.com/xflows/tf_literature_based_discovery
Author: Matic Perovsek
Author-email: matic.perovsek@ijs.si
License: MIT License
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Web Environment
Classifier: Framework :: Django
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Requires-Dist: tf-core

# TextFlows Literature Based Discovery Module #


A [TextFlows](https://github.com/xflows/textflows/) package which text mining widgets (UI components) for literature based cross-domain discovery. The package can also be used with [ClowdFlows](https://github.com/xflows/clowdflows/) 2.0.

[![Documentation Status](https://readthedocs.org/projects/rdm/badge/?version=latest)](http://docs.textflows.org/)


## Installation, documentation ##

Please find installation instructions, examples and API reference on [Read the Docs](http://docs.textflows.org/).

## Note ##

Please note that this is a research project and that drastic changes can be (and are) made pretty regularly. Changes are documented in the [CHANGELOG](CHANGELOG.md).

Pull requests and issues are welcome.

## Contributors to the tf_literature_based_discovery package code ##

Matic Perovšek (@mperice), Matjaž Juršič (@mjursic)

* [Knowldge Technologies Department](http://kt.ijs.si), Jožef Stefan Institute, Ljubljana

