Annif is an automated subject indexing toolkit. It was originally created as a statistical automated indexing tool that used metadata from the Finna.fi discovery interface as a training corpus.
This repo contains a rewritten production version of Annif based on the prototype. It is a work in progress, but already functional for many common tasks.
You will need Python 3.5+ to install Annif.
The recommended way is to install Annif from PyPI into a virtual environment.
python3 -m venv annif-venv
source annif-venv/bin/activate
pip install annif
You will also need NLTK data files:
python -m nltk.downloader punkt
Start up the application:
annif
See Getting Started in the wiki for more details.
A development version of Annif can be installed by cloning the GitHub repository. Pipenv is used for managing dependencies for the development version.
Clone the repository.
Switch into the repository directory. Install pipenv if you don't have it:
pip install pipenv # or pip3 install pipenv
Install dependencies and download NLTK data:
pipenv install # use --dev if you want to run tests etc.
Enter the virtual environment:
pipenv shell
You will also need NLTK data files:
python -m nltk.downloader punkt
Start up the application:
annif
Run pipenv shell to enter the virtual environment and then run pytest.
To have the test suite watch for changes in code and run automatically, use
pytest-watch by running ptw.
The code in this repository is licensed under Apache License 2.0, except for the
dependencies included under annif/static/css and annif/static/js,
which have their own licenses. See the file headers for details.