Recuperación de información automática de ofertas de empleo: Estudio de las competencias de los profesionales de recursos humanos en el mercado de trabajo español

Abstract

Access to information on competencies demanded by companies may be performed by a prospective study of job oérs posted by employers. But, these include a large amount of quantitative and qualitative but mainly textual data, so an appropriate approach should be chosen in order to obtain a detailed knowledge of competencies in certain areas and professional profiles. The aim of this paper is to provide empirical evidence of the competencies required to HR professionals both generally and in terms of diérent job profiles in this area. The identification of competencies is accomplished by the application of statistical methods to automatically processed texts, which dispenses with previous categorization of competences in order to preserve the texts in their native format. The research is based on a textual corpus on 'Soft Competencies', which has been built from hundreds of job oérs for HR professionals, posted by either recruitment consultants or direct employers within the labor Spanish market. After a process of standardization and lemmatization of the textual corpus, the key terms on HR soft competencies has been drawn and thus the overall most requested competencies. Likewise, combining the textual information about competencies with qualitative data concerning job profiles, modal texts may be determined and diérent competency profiles can be outlined. Finally, the visualization of the associations between soft competencies and HR job profiles has been carried out by means of a Correspondence Analysis of an aggregated lexical table.