Metadata-Version: 1.1
Name: Orange3-Text
Version: 0.1.4
Summary: Orange3 TextMining add-on.
Home-page: https://github.com/biolab/orange3-text
Author: Bioinformatics Laboratory, FRI UL
Author-email: contact@orange.biolab.si
License: UNKNOWN
Download-URL: https://github.com/biolab/orange3-text/tarball/0.1.4
Description: Orange3 Text 
        ============
        
        [![Build Status](https://travis-ci.org/biolab/orange3-text.svg?branch=master)](https://travis-ci.org/biolab/orange3-text)
        [![codecov.io](http://codecov.io/github/biolab/orange3-text/coverage.svg?branch=master)](http://codecov.io/github/biolab/orange3-text?branch=master)
        
        Orange3 Text extends [Orange3](http://orange.biolab.si), a data mining software
        package, with common functionality for text mining. It provides access
        to publicly available data, like NY Times, Twitter and PubMed. Further,
        it provides tools for preprocessing, constructing vector spaces (like
        bag-of-words, topic modeling and word2vec) and visualizations like word cloud
        end geo map. All features can be combined with powerful data mining techniques
        from the Orange data mining framework.
        
        Installation
        ------------
        
        To install the add-on with pip use
        
            pip install Orange3-Text
        
        To install the add-on from source, run
        
            python setup.py install
        
        To register this add-on with Orange, but keep the code in the development directory (do not copy it to 
        Python's site-packages directory), run
        
            python setup.py develop
        
        Usage
        -----
        
        After the installation, the widget from this add-on is registered with Orange. To run Orange from the terminal,
        use
        
            python3 -m Orange.canvas
        
        Text Mining widgets are in the toolbox bar under Text Mining section.
Keywords: orange3-text,data mining,orange3 add-on
Platform: UNKNOWN
