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(2002) Progress in discovery science, Dordrecht, Springer.
Mining from literary texts
pattern discovery and similarity computation
Masayuki Takeda , Tomoko Fukuda , Ichirō Nanri
pp. 518-531
This paper surveys our recent studies of text mining from literary works, especially classical Japanese poems, Waka. We present methods for finding characteristic patterns in anthologies of Waka poems, as well as those for finding similar poem pairs. Our aim is to obtain good results that are of interest to Waka researchers, not just to develop efficient algorithms. We report successful results in finding patterns and similar poem pairs, some of which led to new discoveries.
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Full citation:
Takeda, M. , Fukuda, T. , Nanri, I. (2002)., Mining from literary texts: pattern discovery and similarity computation, in S. Arikawa & A. Shinohara (eds.), Progress in discovery science, Dordrecht, Springer, pp. 518-531.
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