A Survey on Skill Identification from Online Job Ads

91Citations
Citations of this article
158Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

A changing job market, influenced by different factors such as globalization and demographic growth, urges close monitoring. The digitization of the job market has given the opportunity to researchers to better understand job market needs as job postings/ads become more accessible. However, such postings are submitted in unstructured text and need further processing to identify the required skills. The aim of this survey is to review current research on skill identification from job ads and to discuss possible future research directions. In this study, we systematically reviewed 108 research articles on the topic. In particular, we evaluated and classified the prior work aiming to identify the skill bases used for analyzing job market needs; the type of extracted skills; the skill identification methods; the studied sector and the skill identification granularity. Then, we categorized the existent applications and goals of skill identification. Finally, we present key challenges and discuss recent trends.

Cite

CITATION STYLE

APA

Khaouja, I., Kassou, I., & Ghogho, M. (2021). A Survey on Skill Identification from Online Job Ads. IEEE Access, 9, 118134–118153. https://doi.org/10.1109/ACCESS.2021.3106120

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free