DOI: 10.5176/2251-1865_CBP13.36
Authors: Chieko Kato, Futoshi Sugimoto, Matthew C. Strecher, Kensei Tsuchida
Abstract:
In recent years, the technology needed to process languages on computers has become available as open-source software. This technology has made it easier to carry out analysis of large volumes of text -- such as lexical analysis -- using software as a tool. As a result, one finds computer-driven quantitative analyses of texts in a variety of fields. Among these may be found studies in which these methods have been applied to the analysis of literary texts, as well. Literary works, however, inevitably contain an element of fuzziness. Therefore, the aim of this study is to apply the methods of fuzzy cluster analysis to a literary text in order to extract its tendencies and characteristics objectively, leading to deeper understanding. Specifically, we will carry out a fuzzy cluster analysis on Murakami Haruki's novel Umibe no Kafka (2002; Kafka On the Shore), and use the output of this analysis to perform an interpretation of the work.
Keywords: Murakami Haruki，Kafka on the Shore，Fuzzy Theory，Cluster Analysis, Lexical Analysis, bibliometrics
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