Pairwise relation analysis and quality estimation of classical Chinese poetry in ancient Korea

Abstract

This paper represents a text mining-based analysis on Classical Chinese poetry in ancient Korea. We try to evaluate the relations between poems with several document similarity analysis methods, and also to estimate the quality of poems based on simple hypotheses. Nine poem books in the 15th century have been selected for analysis to validate the effectiveness of this approach. In order to overcome the limited number of data, we slightly change the existing similarity measure and try to adjust target data by considering the structure of Classical Chinese poetry. Analysis results show a high potential of this approach by producing outcomes that fairly match expectations.