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
This paper is the result of the joint research of the three authors. However, M. Misuraca was responsible for the final editing of Sections 2 and 5, whereas M.G. Grassia was responsible for Section 4 and E. Di Meglio for Section 3.
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Di Meglio, E., Grassia, M.G., Misuraca, M. (2007). The Ideal Candidate. Analysis of Professional Competences through Text Mining of Job Offers. In: Fabbris, L. (eds) Effectiveness of University Education in Italy. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1751-5_19
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DOI: https://doi.org/10.1007/978-3-7908-1751-5_19
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