Mining from literary texts: Pattern discovery and similarity computation

Masayuki Takeda, Tomoko Fukuda, Ichiro Nanri

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationProgress in Discovery Science
Pages518-531
Number of pages14
Publication statusPublished - Dec 1 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2281
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Takeda, M., Fukuda, T., & Nanri, I. (2002). Mining from literary texts: Pattern discovery and similarity computation. In Progress in Discovery Science (pp. 518-531). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2281).