Text mining on job advertisement data: Systematic process for detecting artificialintelligence related jobs

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

Abstract

The use of online job advertisement has made them an important source of quantitative information about the innovation system. This data offers significant opportunities to study trends, transitions in the job markets and skill demands. In this study, we have utilized the job ads data of a major Finnish job market platform to investigate the emergence of AI-related jobs. More than 480 000 job advertisements during 2013-2020 was used to create insight on skills transitions, particularly focusing on artificial intelligence related skills. A glossary of AI-related skills was created and applied to the job data to identify the relatedness spectrum of ads to AI using a three-tier system. By incorporating sectoral firm-level information, we explored the variation in AI-related skills demand over time and sectors. Our study presents a systematic way to utilize job advertisement data for detecting demand trends for specific skills.

Original languageEnglish
Pages (from-to)111-124
Number of pages14
JournalCEUR Workshop Proceedings
Volume2871
Publication statusPublished - 2021
MoE publication typeA4 Article in a conference publication
Event1st Workshop on AI + Informetrics, AII 2021: co-located with the iConference 2021 - Virtual
Duration: 17 Mar 202117 Mar 2021

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