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.
|Title of host publication||Progress in Discovery Science|
|Number of pages||14|
|Publication status||Published - Dec 1 2002|
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)