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

作者：

Highlights：

• 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.

摘要

Highlights•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.

论文关键词：Latent semantic indexing,Text-mining,Job market analysis,Web data extraction

论文评审过程：Received 9 October 2016, Revised 23 October 2016, Accepted 27 October 2016, Available online 29 October 2016, Version of Record 12 November 2016.

论文官网地址：https://doi.org/10.1016/j.is.2016.10.009