摘要
《雪国》作为亚洲第一位诺贝尔文学奖获得者川端康成的代表作品,一直深受文学研究者的广泛关注。针对《雪国》悲与美的先行研究成果,多倾向于主观性判断,缺乏相关数据支撑,研究角度和研究方法缺乏创新。该文基于数字人文视角下,采用KH Coder文本分析软件,以客观实证的方法,对《雪国》文本进行数据挖掘分析,结果发现悲与美客观存在于《雪国》文本内容中,并贯穿于文本内容始终。
Snow Country, as the representative literature of Kawabata Yasunari, the first Asian Nobel Prize winner in literature, has been widely concerned by literature researchers. As for the previous research results on the sadness and beauty of Snow Country, most of research tend to be subjective judgment, lacking relevant data support, and lacking innovation in research perspectives and methods. The paper uses KH Coder text analysis software in a digital humanities perspective, with objective empirical evidence as the research method, to data mine and analyze the text of Snow Countrythe results show that sadness and beauty exist objectively in the text content of Snow Country and run throughout the text content.
作者
陶建明
TAO Jianming(Wuhan College of Arts and Sciences,Wuhan Hubei,430345,China)
出处
《文化创新比较研究》
2022年第17期9-12,共4页
Comparative Study of Cultural Innovation
基金
武汉文理学院校级课题“大学日语四六级考试的现状、未来及应对策略”。
关键词
数字人文
《雪国》
数据挖掘
悲与美
Digital humanities
Snow Country
Data mining
The beauty and sadness
