The rapid growth of Web usage for advertising job positions provides a great opportunity for real-time labour market monitoring. This is the aim of Labour Market Intelligence (LMI), a field that is becoming increasingly relevant to EU Labour Market policies design and evaluation. The analysis of Web job vacancies, indeed, represents a competitive advantage to labour market stakeholders with respect to classical survey-based analyses, as it allows for reducing the time-to-market of the analysis by moving towards a fact-based decision making model. In this paper, we present our approach for automatically classifying million Web job vacancies on a standard taxonomy of occupations. We show how this problem has been expressed in terms of text classification via machine learning. We also show how our approach has been applied to certain real-life projects and we discuss the benefits provided to end users.

Boselli, R., Cesarini, M., Mercorio, F., Mezzanzanica, M. (2018). Classifying online Job Advertisements through Machine Learning. FUTURE GENERATION COMPUTER SYSTEMS, 86, 319-328 [10.1016/j.future.2018.03.035].

Classifying online Job Advertisements through Machine Learning

Boselli, R;Cesarini, M;Mercorio, F
;
Mezzanzanica, M
2018

Abstract

The rapid growth of Web usage for advertising job positions provides a great opportunity for real-time labour market monitoring. This is the aim of Labour Market Intelligence (LMI), a field that is becoming increasingly relevant to EU Labour Market policies design and evaluation. The analysis of Web job vacancies, indeed, represents a competitive advantage to labour market stakeholders with respect to classical survey-based analyses, as it allows for reducing the time-to-market of the analysis by moving towards a fact-based decision making model. In this paper, we present our approach for automatically classifying million Web job vacancies on a standard taxonomy of occupations. We show how this problem has been expressed in terms of text classification via machine learning. We also show how our approach has been applied to certain real-life projects and we discuss the benefits provided to end users.
Articolo in rivista - Articolo scientifico
Machine Learning, Text Classification, Big Data, NLP
English
2018
86
319
328
reserved
Boselli, R., Cesarini, M., Mercorio, F., Mezzanzanica, M. (2018). Classifying online Job Advertisements through Machine Learning. FUTURE GENERATION COMPUTER SYSTEMS, 86, 319-328 [10.1016/j.future.2018.03.035].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/193444
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