Abstract
Text Mining (TM) is a competitive statistical technology to extract relevant information from huge textual unstructured databases (document warehousing). In this paper, from an immense linguistic archive such as that coming of 10 years of daily “La Repubblica”, we describe several examples on the language productivity and the changes of language in the Nineties, with a particular attention of the use evolution of declining of verb mood, tense and person.
The present research was funded by MIUR 2002 - C26A022374. The paper is a combined job of the two authors: paragraphs 1, 3.2, 4 were written by S. Bolasco, and paragraphs 2, 3.1, 3.3 were written by A. Canzonetti.
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Bolasco, S., Canzonetti, A. (2005). Some Insights into the Evolution of 1990s' Standard Italian Using Text Mining Techniques and Automatic Categorization. In: Bock, HH., et al. New Developments in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27373-5_35
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DOI: https://doi.org/10.1007/3-540-27373-5_35
Publisher Name: Springer, Berlin, Heidelberg
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