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37–52. 4. , Baiocchi, F. (2004), Estrazione automatica di informazione dai testi, Mondo Digitale, Vol. 3, No. 1, pp. 27–43. 5. , Romano, F. (2002), “For the Automated Mark-up of Italian Legislative Texts in XML”, Fifteenth Annual International Conference on Legal Knowledge and Information Systems Conference Proceedings, December 2002, Institute of Advanced Legal Studies, London. 6. Castells, M. (2002), Galassia Internet, Feltrinelli, Milano. [orig, 2001, Internet Galaxy, Oxford University Press] 7.

NH, Amsterdam (1984) 433–446 6. : Exploring Textual Data. Kluwer Academic Publishers, Dordrecht (1998) 7. : Term-weighting approaches in automatic text retrieval. In: Information Processing & Management. Vol. 5 (1988) 513–523 Understanding Text Mining: A Pragmatic Approach Sergio Bolasco, Alessio Canzonetti, Federico M. Capo, Francesca della Ratta-Rinaldi, and Bhupesh K. it/ Abstract. In order to delineate the state of the art of the main TM applications a two-step strategy has been pursued: first of all, some of the main European and Italian companies offering TM solutions were contacted, in order to collect information on the characteristics of the applications; secondly, a detailed search on the web was made to collect further information about users or developers and applications.

In the future this tool will permit the analysis of CVs drafted in different languages simultaneously and it will be possible to make the information uniform, and then bring it back to a standard that is useful for further searches for competences (for example, the corresponding qualifications in countries with different education systems [13]). In the context of human resources management, the TM techniques are often utilized to monitor the state of health of a company (level of motivation of its employees) by means of the systematic analysis of informal documents.

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