从StackOverflow招聘广告中挖掘人员分析

M. Papoutsoglou, N. Mittas, L. Angelis
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引用次数: 34

摘要

参与在线专业网络的人员的技能和能力构成了不断增加的数据收集和分析的新来源。人力资源管理(HRM)的一个重要子领域是招聘过程。招聘广告和个人简介是招聘的主要部分,因为现在可以在网上找到,它们构成了一个新的电子招聘时代的关键因素。招聘分析的数据挖掘对于提取人员分析的知识库非常重要。技能和能力是人员分析的关键变量,可以从招聘广告中得出。利用在线工作机会的原始信息,为人员分析提供了丰富的资源。从原始文本数据中发现适合工作的技能和能力,并将其与求职者联系起来,这是一个越来越大的挑战。本文的主要目标是提出一个框架,旨在从涉及IT工作机会的网络来源收集在线招聘广告,并从原始文本中提取特定工作所需的技能和能力。选择的专业网络资源是StackOverflow,并使用多元统计数据分析来测试工作机会数据集中技能和能力之间的相关性。目前的工作属于一个相对较新的研究领域,涉及人件数据的能力挖掘,特别关注软件开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining People Analytics from StackOverflow Job Advertisements
Skills and competences of people participating in online professional networks constitute an ever-increasing new source for data collection and analysis. An important sub-domain of human resources management (HRM) is the recruitment process. Job advertisements and people profiles are main parts of recruitment and since are now available online, they constitute a key factor of a new e-recruitment era. Data mining for erecruitment analysis is important in order to extract a knowledge base for people analytics. Skills and competences are the key variables for people analytics and can be drawn from job advertisements. Leveraging the raw information of online job offers, provides a rich source for people analytics. Detecting the appropriate skills and competences for a job from raw text data and associate them with a job seeker is an increasing challenge. The main objective of this paper is the proposal of a framework aiming to collect online job advertisements from a web source which concerns IT job offers and to extract from the raw text the required skills and competences for specific jobs. The selected professional networking web source is StackOverflow and multivariate statistical data analysis was used to test the correlations between skills and competences in the job offers dataset. The present work falls in a relatively new field of research, concerning the competence mining of peopleware data with special focus on software development.
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