CLiC region tagging
Project description
Python module to identify regions in text.
Part of the CLiC project
Installation
Linux
First make sure you have the following prerequisites installed:
apt-get install python3 python3-dev \ libicu-dev pkg-config
Then install via. pip:
pip install clictagger
Windows / MacOS
Under either you can install clictagger via. Anaconda:
Install Miniconda if you haven’t already.
Download environment-windows.yml if running windows, environment.yml otherwise.
Start an Anaconda prompt
On windows, run conda env create -f environment-windows.yml, otherwise run conda env create -f environment.yml
conda activate clictagger
You can now use clictagger.
Usage
Python notebook
To region-tag your own examples, use file-upload.ipynb
Command line
You should now have the clictagger command available. See --help for usage.
For more examples, see the clictagger.script documentation.
Development
There is a Makefile that will setup and perform common development actions, in a venv. Once code is checked out you can run:
make test # Run all tests make lint # Check code formatting make coverage # Check unit-test coverage make notebook # Install and serve a Jupyter notebook session make release # Use zest.releaser to make a new release
Acknowledgements
This work is released under MIT.
Changelog
0.9.0 (2021-07-30)
Initial release.
Project details
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