The Ideal Candidate. Analysis of Professional Competences through Text Mining of Job Offers

Emilio Meglio, Maria Gabriella Grassia and Michelangelo Misuraca
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Emilio Meglio: University of Naples “Federico II”
Maria Gabriella Grassia: University of Naples “Federico II”
Michelangelo Misuraca: University of Naples “Federico II”

A chapter in Effectiveness of University Education in Italy, 2007, pp 261-275 from Springer

Abstract: Summary The aim of this paper is to propose analytical tools for identifying peculiar aspects of the job market for graduates. The main objective is to reduce the complexity of the phenomenon, both on the variable side, by transforming the collected information into latent factors, and on the unit side, by classifying observations. We propose a strategy for dealing with data that have different source and nature. The dependence structure is investigated to identify potential evolutionary paths. Moreover, symbolic objects and their graphical representation are used for identifying the peculiar characteristics required by companies operating in different economic sectors.

Keywords: Text mining; Association rules; Factor analysis; Symbolic objects; Zoom-star (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1751-5_19

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DOI: 10.1007/978-3-7908-1751-5_19

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