Competences and Professional Options of the Italian Graduates: Results from the Textual Analysis of the Degree Course Information Data

  • S. Balbi
  • C. Crocetta
  • M.F. Romano
  • S. Zaccarin
  • E. Zavarrone
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


The present chapter, developed within a research project promoted by the National Committee for the Evaluation of the University System (CNVSU, the complete report is available on, analyses the Italian university offer, focusing on the communication adopted by the Universities to publicise their objectives and the results expected, also with respect to the potential employments. The analysed documents are the course information sheets of all the 3-year degree courses and some specialised (2-year) degree courses, contained in the OFF.F database of the Ministry of the University (MIUR) for the academic year 2005/2006. The research pursued the following aims:


Professional Role Latent Semantic Indexing Factorial Plane Education Offer Education Objective 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Balbi S (1995) Non symmetrical correspondence analysis of textual data and confidence regions for graphical forms. In: Bolasco S et al (eds) Actes des 3es JADT, Journées internationales d’Analyse statistique des Données Textuelles. CISU, RomaGoogle Scholar
  2. 2.
    Balbi S, Di Meglio E (2004) A text mining strategy based on local contexts of words. In: Purnelle G et al (eds) JADT04 Le poids des mots. Press Universitaire de Louvain, LouvainGoogle Scholar
  3. 3.
    Balbi S, Misuraca M (2005) Visualization Techniques in non symmetrical relationships. In: Sirmakessis S (ed) Knowledge mining (studies in fuzziness and soft Computing). Springer, BerlinGoogle Scholar
  4. 4.
    Grassia MG, Misuraca M, Scepi G (2004) Relazioni non Simmetriche tra Corpora. In: Purnelle G et al (eds) JADT04 Le poids des mots. Press Universitaire de Louvain, LouvainGoogle Scholar
  5. 5.
    Lauro NC, D’Ambra L (1984) L’analyse non symetrique des correspondances. In: Diday E et al (eds) Data analysis and informatics, vol III. North-Holland, AmsterdamGoogle Scholar
  6. 6.
    Lebart L, Salem A, Berry L (1998) Exploring textual data. Kluwer Academic Publishers, DordrechtGoogle Scholar
  7. 7.
    Misuraca M (2005) La visualizzazione dell’informazione testuale. Contributi metodologici e applicativi, Tesi di Dottorato in Statistica, Dipartimento di Matematica e Statistica, Università di Napoli “Federico II”Google Scholar
  8. 8.
    Morrone A (1993) Alcuni criteri di valutazione della significatività dei segmenti ripetuti. In: Anastex SJ (ed) JADT93, Actes des secondes Journées Internationales d’Analyse Statistique de Données Textuelles, ENSTelecom, ParisGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • S. Balbi
    • 1
  • C. Crocetta
    • 2
  • M.F. Romano
    • 3
  • S. Zaccarin
    • 4
  • E. Zavarrone
    • 5
  1. 1.Dipartimento di Matematica e StatisticaUniversità di Napoli “Federico II”NapoliItaly
  2. 2.Dipartimento di Scienze Economiche, Matematiche e Statistiche (DSEMS)Università di FoggiaFoggiaItaly
  3. 3.LEM, Management e Innovazione Scuola Superiore Sant’Anna di PisaPisaItaly
  4. 4.Dipartimento di Scienze Economiche e StatisticheUniversità di TriesteTriesteItaly
  5. 5.Dipartimento di Economia PoliticaUniversità di Milano-BicoccaMilanItaly

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