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. On the basis of the material collected, a synthetic grid was built to collocate, from more than 300 cases analysed, the 100 ones that we considered most relevant for the typology of function and sector of activity. The joint analysis of the different case studies has given an adequate picture of TM applications according to the possible types of results that can be obtained, the main specifications of the sectors of applications and the type of functions. Finally it is possible to classify the applications matching the level of customisation (followed in the tools development) and the level of integration (between users and developers). This matching produces four different situations: standardisation, outsourcing, internalisation, synergism.
This work comes from a common effort. S. Bolasco wrote Sect. 1, A. Canzonetti Sects. 2 and 3, F. Capo Sects. 4.1 and 4.3, F. della Ratta-Rinaldi Sect. 4.2, B. Singh Sect. 4.4 and S. Bolasco & F. della Ratta-Rinaldi Sect. 5.
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Bolasco, S., Canzonetti, A., Capo, F.M., della Ratta-Rinaldi, F., Singh, B.K. (2005). Understanding Text Mining: A Pragmatic Approach. In: Sirmakessis, S. (eds) Knowledge Mining. Studies in Fuzziness and Soft Computing, vol 185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32394-5_4
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