Proceedings of the Fuzzy System Symposium
39th Fuzzy System Symposium
Session ID : 3C2-1
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Changes in ”Business Katakana Words” through Analysis of Newspaper Big Data
*Rui OkanoToshiya Arakawa
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Abstract

”Business katakana words” such as ”internship” and ”sustainable” have been used rapidly in recent years. However, it has not been investigated why the tendency to use ”business katakana words” has increased in spite of the existence of Japanese expressions with the same meaning. In this study, we analyze a large newspaper database and examine the trend of ”business katakana words” as a time series, as well as the possibility that the occurrence of social events affected the increase in ”business katakana words.” We also attempt to verify the possibility that the occurrence of social events affected the increase of ”business katakana words” by analyzing the co-occurrence network.

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© 2023 Japan Society for Fuzzy Theory and Intelligent Informatics
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