Keeping Up with the Market: Extracting competencies from Norwegian job listings

Abstract

The Norwegian labour market is under continuous change because of fast-paced innovation in technology. It is therefore vital for educational institutions curricula to reflect the changing requirements to keep the population hireable and provide employers with a highly adaptable workforce. There are no complete systems that let us analyse and extract this information about the labour market efficiently. Therefore, there is a need for tools to keep up with the labour market changes and to enable efficient analysis on large Norwegian job listing data sets.

In this project, we developed an algorithm that extracts the skills, competencies and knowledge from Norwegian job listing data. Our evaluation results show that we manage to extract skills from the jobs listings, but not to the extent of our defined requirements. This is caused by language ambiguity and semantic differences between our data sets, which significantly impacted our results.

We conclude that our algorithm has not fully solved the complex problem at hand but that our project has contributed with open-source code and processed open access data sets. Furthermore, through the development of the algorithm and analysis of the data sets, we have laid the foundation for future work and proposed how to develop solutions for understanding the fast-paced and continuous change in the Norwegian labour markets.