Abstract
In the first part of this paper text mining (TM) is examined following three main dimensions: kind of applications, from customer relationship management (CRM) and market analysis to technology watch (TW) and patent analysis (PA); sectors of activity, from financial domain to health sector, from media and communication to public administration; scheme of strategy (document pre-processing, lexical and TM processing). We also report some results of a survey on text analysis traditions in Italy and some of the most relevant Italian company experiences in the domain of production of linguistic technology and TM solutions. In the second part of the paper, we describe some examples of TM applications in particular for CRM, TW, and PA, mined from the Internet.
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Bolasco, S., Baiocchi, F., Canzonetti, A., Ratta, F.D., Feldman, A. (2004). Applications, Sectors and Strategies of Text Mining, a First Overall Picture. In: Sirmakessis, S. (eds) Text Mining and its Applications. Studies in Fuzziness and Soft Computing, vol 138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45219-5_4
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DOI: https://doi.org/10.1007/978-3-540-45219-5_4
Publisher Name: Springer, Berlin, Heidelberg
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