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Documents de travail de l'OCDE sur les questions sociales, l'emploi et les migrations

Cette série a pour objectif de diffuser auprès d’un grand nombre de lecteurs un choix d’études traitant du marché du travail, des politiques sociales et des migrations à usage interne. Il s’agit généralement d’un travail collectif, mais les noms des principaux auteurs sont cités. En général, ces documents de travail existent uniquement en version originale – anglais ou français – avec un résumé dans l’autre langue.

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A machine learning approach to classify skills in Burning Glass Technologies data

This report presents a methodology to classify skill requirements in online job postings into a pre-existing expert-driven taxonomy of broader skill categories. The proposed approach uses a semi-supervised Machine Learning algorithm and relies on the actual meaning and definition of the skills. It allows for the classification of more than 17 000 unique skill keywords contained in the Burning Glass dataset into 61 categories. The outcome of the classification exercise is validated using O*NET information on skills by occupations, and by benchmarking the results of some empirical descriptive exercises against the existing literature. Compared to a manual classification, the proposed approach organises large amounts of skills information in an analytically tractable form, and with considerable savings in time and human resources.

English

JEL: J23: Labor and Demographic Economics / Demand and Supply of Labor / Labor Demand; C45: Mathematical and Quantitative Methods / Econometric and Statistical Methods: Special Topics / Neural Networks and Related Topics; J24: Labor and Demographic Economics / Demand and Supply of Labor / Human Capital; Skills; Occupational Choice; Labor Productivity; C55: Mathematical and Quantitative Methods / Econometric Modeling / Large Data Sets: Modeling and Analysis; J63: Labor and Demographic Economics / Mobility, Unemployment, Vacancies, and Immigrant Workers / Labor Turnover; Vacancies; Layoffs
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