Leveraging Artificial Intelligence to update the ESCO Occupations Pillar
The Commission is building machine learning models to suggest potential matches to ESCO occupations based on input such as job titles and occupation labels. This activity is related to the challenge of mapping textual descriptions of occupations to the existing ESCO occupations hierarchy. The following article showcases examples of occupation normalisation and mapping new job titles for existing/new occupations.
