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Analyzing the needs of the offshore sector in Morocco by mining job ads

机译:通过挖掘招聘广告分析摩洛哥近海部门的需求

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The offshore sector creates a large number of job opportunities in Morocco. Analyzing job ads related to that sector can help universities adapt their curricula in order to produce more employable graduates. Unfortunately, analyzing these ads is challenging because they are mostly non-structured. Most prior work, however, focuses on analyzing structured and semi-structured job ads through keyword search and regular expressions. In this work, we collect and analyze job ads related to the offshore sector in Morocco over the period February-August 2017. We use a variety of machine learning and text mining techniques to process these ads. We examine the natural languages, programming languages, education level, and years of experience needed. We also examine contract type and salary when available. Our results reveal that French is the most needed language in offshore jobs, but that other foreign languages (English and Spanish) are also needed. We also find that the most needed offshore IT jobs are development and web design jobs. The most needed programming languages for these jobs are Java, SQL, JavaScript and PHP.
机译:离岸部门在摩洛哥创造了大量就业机会。分析与该部门有关的招聘广告可以帮助大学调整课程设置,以培养更多可就业的毕业生。不幸的是,分析这些广告具有挑战性,因为它们大多是非结构化的。但是,大多数先前的工作重点是通过关键字搜索和正则表达式来分析结构化和半结构化的招聘广告。在这项工作中,我们收集并分析了2017年2月至8月期间与摩洛哥离岸行业相关的招聘广告。我们使用各种机器学习和文本挖掘技术来处理这些广告。我们检查自然语言,编程语言,教育水平和所需的经验。我们还将检查合同类型和工资(如果有)。我们的结果表明,法语是离岸工作中最需要的语言,但是还需要其他外语(英语和西班牙语)。我们还发现,最需要的离岸IT工作是开发和Web设计工作。这些作业最需要的编程语言是Java,SQL,JavaScript和PHP。

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