Orange TextMining add-on.
Project description
[](https://travis-ci.org/biolab/orange3-text) [](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.
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](https://travis-ci.org/biolab/orange3-text){kind=link}
](http://codecov.io/github/biolab/orange3-text){kind=link}