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Orange3 Text extendsOrange3, a data mining softwarepackage, with common functionality for text mining. It provides accessto publicly available data, like NY Times, Twitter, Wikipedia and PubMed. Furthermore,it provides tools for preprocessing, constructing vector spaces (likebag-of-words, topic modeling, and similarity hashing) and visualizations like word cloudend geo map. All features can be combined with powerful data mining techniquesfrom the Orange data mining framework.

Please note that Text add-on won't work on 32-bit Windows systems. The add-on depends on conda-forge and they haveremoved support for Windows 32 in April 2018.

The easiest way to install Orange3-Text is with Anaconda distribution. DownloadAnacondafor your OS (Python version 3.5). In your Anaconda Prompt first add conda-forge to your channels:

conda config --add channels conda-forge

Then install Orange3-Text

conda install orange3-text

Run

python -m Orange.canvas

to open Orange and check if everything is installed properly.

To install the add-on from source

# Clone the repository and move into itgit clone https://github.com/biolab/orange3-text.gitcd orange3-text# Install the dependencies:pip install -r requirements.txt# Finally install Orange3-Text in editable/development mode.pip install -e .

To register this add-on with Orange, but keep the code in the development directory (do not copy it toPython's site-packages directory), run

python setup.py develop

If you're not using Anaconda distribution, you can manually install biopython library before installing the add-on.First, download the compilerVisual Studio and run the setup with:

python setup.py build_ext --inplace --compiler=msvc install

After the installation, the widgets from this add-on are registered with Orange. To run Orange from the terminal,use

python3 -m Orange.canvas

or

orange-canvas

The new widgets are in the toolbox bar under Text Mining section.