중국문학 데이터 리터러시(data literacy) 분석툴 운영전략 연구－쑤퉁(苏童) 장편소설 텍스트를 중심으로－

Abstract

Data literacy is the ability to read, work with, analyze, and argue with data. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. If researchers combine Chinese literature with data literatures, they will be able to discover new characteristics of text that have not been seen in the theoretical research base. In this study, literary text was analyzed using the coppers, big data, and network analysis tools. It also analyzed the operating strategies of analytical tools for analyzing literary texts. And for practical data analysis, we selected Su Tung, a Chinese modern writer, and his feature-length novel. First, by attempting a Corpus analysis of 10 feature novels by Su Tung, we identified the relationship between the vocabulary used by the writer with high frequency and the epic features of the novel. Second, we conducted big data analysis on “Tu Tung” based on the Web and SNS to identify the relationship between Su Tung and Keyword, Critic, Writer, etc. Third, we performed a text network analysis on 10 novels of Su Tung’s feature novels and identified the relationship between keywords in the novel. Through the above analysis, the researchers presented a basic direction for performing practical data analysis on authors or text. At the same time, it presented the possibility of expanding the domain of data-based literary criticism.