A novel approach towards the automated detection of access to education and training in German training offers and advertisements.
The German labour market heavily relies on vocational education and training, re-training and advanced vocational qualification. To match training seekers and offers, we present a novel approach towards the automated detection of access to education and training in German training offers and advertisements. We will in particular focus on (a) general school and education degrees and school-leaving certificates, (b) professional experience, (c) a previous apprenticeship and (d) a list of skills.
- Clone/Download this repository.
- Navigate to the folder on your machine using the commandline tool
- (optional) create a new python environment
- (python 3.8X required) Enter the following command into your commandline
pip install -r requirements.txt
- start the tutorial notebook by entering the following command
jupyter-notebook
If you have questions, please use the GitHub discussions feature at https://github.com/TM4VETR/DetectionAcessToEducation/issues/new.
If you use this work, please cite:
@article{dorpinghaus2023challenges,
title={Challenges of Automated Identification of Access to Education and Training in Germany},
author={D{\"o}rpinghaus, Jens and Samray, David and Helmrich, Robert},
journal={Information},
volume={14},
number={10},
pages={524},
year={2023},
publisher={MDPI}
}