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Data Mining Research on Maehwado Painting Poetry in the Early Joseon Dynasty

  • Haeyoung Park (Humanitas College, Kyung Hee University) ;
  • Younghoon An (Dept. of Korean Language and Literature, Kyung Hee University)
  • Received : 2023.02.02
  • Accepted : 2023.04.25
  • Published : 2023.08.31

Abstract

Data mining is a technique for extracting valuable information from vast amounts of data by analyzing statistical and mathematical operations, rules, and relationships. In this study, we employed data mining technology to analyze the data concerning the painting poetry of Maehwado (plum blossom paintings) from the early Joseon Dynasty. The data was extracted from the Hanguk Munjip Chonggan (Korean Literary Collections in Classical Chinese) in the Hanguk Gojeon Jonghap database (Korea Classics DB). Using computer information processing techniques, we carried out web scraping and classification of the painting poetry from the Hanguk Munjip Chonggan. Subsequently, we narrowed down our focus to the painting poetry specifically related to Maehwado in the early Joseon Dynasty. Based on this, refined dataset, we conducted an in-depth analysis and interpretation of the text data at the syllable corpus level. As a result, we found a direct correlation between the corpus statistics for each syllable in Maehwado painting poetry and the symbolic meaning of plum blossoms.

Keywords

Acknowledgement

This paper is a revised and expanded version of the paper "A Case Study on Data Mining for Korean Painting Poetry," which was presented at CSA 2022. A study in the same vein of painting poetry data analysis is "A study of Mukjukdo painting poetry using N-gram analysis: focusing on the early Joseon Dynasty's works (The Studies of Korean Literature, no. 79, pp. 57-82, 2023)." The data calculation function setting using the Java program was performed with the valuable assistance of Seokjune Kang, an expert in computer science software. We extend our sincere gratitude for his practical help with computer information processing.

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