Can we use newspapers to predict job creation?

Imane Khaouja, Ghita Mezzour, Kathleen M. Carley, I. Kassou
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Abstract

Newspapers report about new investments in the country, new firm's creation and national programs that aim to promote job creation. Using this information can help us predict and acknowledge about a part of job creation and better inform universities about developing sectors. However, most prior work focuses on predicting stock market movements using newspapers and overlooks job creation. In this paper, we want to investigate whether newspapers could predict the job market future needs in term of workforce. Therefore, we collect newspapers found online and job creation in 18 sectors. We use linear mixed models for longitudinal data and random forest to predict job creation in those sectors based on sector mentions in the newspapers articles. Our findings suggest that newspapers can contribute to our ability to understand the near future job creation by leveraging sector mentions in the newspapers for specific sectors. Moreover, our results show that we can approximately predict future job creation in the 18 sectors by predicting the number of job creation in those sectors.
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我们可以用报纸来预测就业机会吗?
报纸报道了该国的新投资,新公司的成立以及旨在促进创造就业机会的国家计划。利用这些信息可以帮助我们预测和认识就业创造的一部分,并更好地告知大学发展部门。然而,大多数先前的工作都集中在利用报纸预测股市走势,而忽略了创造就业机会。在本文中,我们想要调查报纸是否可以预测劳动力市场未来的需求。因此,我们收集了在网上找到的报纸和18个行业的就业机会。我们使用纵向数据和随机森林的线性混合模型,根据报纸文章中提到的行业来预测这些行业的就业创造。我们的研究结果表明,报纸可以通过利用报纸上对特定行业的行业提及,帮助我们理解近期创造就业机会的能力。此外,我们的结果表明,我们可以通过预测这些部门的就业创造数量来大致预测未来18个部门的就业创造。
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