TY - CHAP
T1 - Mining from literary texts
T2 - Pattern discovery and similarity computation
AU - Takeda, Masayuki
AU - Fukuda, Tomoko
AU - Nanri, Ichiro
PY - 2002
Y1 - 2002
N2 - 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 ofWaka 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.
AB - 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 ofWaka 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.
UR - http://www.scopus.com/inward/record.url?scp=84867637584&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867637584&partnerID=8YFLogxK
U2 - 10.1007/3-540-45884-0_39
DO - 10.1007/3-540-45884-0_39
M3 - Chapter
AN - SCOPUS:84867637584
SN - 3540433384
SN - 9783540433385
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 518
EP - 531
BT - Progress in Discovery Science
PB - Springer Verlag
ER -