Data mining approach to monitoring the requirements of the job market: A case study

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• 作者：Ioannis Karakatsanis^a ; ^{ikarakatsanis@masdar.ac.ae} ; Wala AlKhader^b ; Frank MacCrory^c ; Armin Alibasic^b ; Mohammad Atif Omar^b ; Zeyar Aung^a ; Wei Lee Woon^a ; ^{ikarakatsanis@masdar.ac.ae}
• 关键词：Latent semantic indexing ; Text-mining ; Job market analysis ; Web data extraction
• 刊名：Information Systems
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：65
• 期：Complete
• 页码：1-6
• 全文大小：571 K
• 卷排序：65

文摘

A Text-Mining approach for matching raw job advertisement documents with occupation description data in the O*NET database is proposed. A Latent Semantic Indexing (LSI) model was utilized along with a wide collection of preprocessed data from online sources. Crowdsourcing was deployed to validate the proposed methodology. Results reveal that the suggested method can be directly applied to different job markets, commercial sectors and geographical regions.