Abstract
In this paper, we expose the use of CLP in a Textual Data Mining Task. Text Mining process is here applied to a corpus of semi-structured documents like seminary and job announcement. Such documents contain semi-structured sections each of which will be recognised by an automaton whose language is characterised by a set of CLP rules.
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References
Fayyad, U., et al.: From Data Mining to KD: An overview. In: Advances in Knowledge Discovery and Data Mining. MIT Press, Cambridge (1996)
Grishman, R.: Information Extraction: Techniques and Challenges, http://citeseer.nj.nec.com/grishman97information.html
Hearst, M.A.: Text Data Mining: Issues, Techniques and Relationship to Information Access. Presentation Notes for UW/MS Workshop on data mining (July 1997)
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© 2005 Springer-Verlag Berlin Heidelberg
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Saidi, A.S. (2005). Using CLP to Characterise Linguistic Lattice Boundaries in a Text Mining Process. In: Gabbrielli, M., Gupta, G. (eds) Logic Programming. ICLP 2005. Lecture Notes in Computer Science, vol 3668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562931_37
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DOI: https://doi.org/10.1007/11562931_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29208-1
Online ISBN: 978-3-540-31947-4
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