英文摘要 |
In the context of the“with”corona era, we can see that collaboration with AI technology has become inevitable. This is because in the age of AI, the relationship between academic research and practical development in all fields of AI is an important issue that cannot be avoided in order to survive. In this study, while anticipating the AI era, I decided to examine Haruki Murakami’s Killing Commendatore (2017) with the aim of creating a system for the study of Haruki Murakami’s literature, following the policy of complementing and collaborating methodologically with the methods of text analysis commonly used in literary studies and the application of AI text mining technology, based on the results of my previous research. The results of this study can be summarized into three point s: the reading of works has been diversified, text mining can be used as a measure to grasp the internal reality of multiple works, and it can provide powerful reference material for reexamining conventional theories. In this way, the methodological complementation and collaboration between conventional text analysis and text mining techniques that we have accumulated so far has proven to be one of the most valuable methods to try in reading literary works. I would like to continue to make use of the research results and have accumulated to expound on creative research methods for literature that are appropriate for the“with”Corona era, in which both methods work together to produce new literary perspectives that cannot be produced by one method alone. |