Proceedings of the Fuzzy System Symposium
40th Fuzzy System Symposium
Session ID : 1D1-3
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Characteristics and Semantic Transition of Business Katakana Words by the Word2vec Analysis of Newspaper Big Data
*Rui OkanoToshiya Arakawa
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Abstract

In recent years, business katakana words such as “internship” and “compliance” have been used frequently. However, the reasons why business katakana words are used more frequently and the line between common and uncommon business katakana words have not been examined until now. In this study, we examined the characteristics of business katakana words and the evolution of their meanings by morphological analysis of newspaper big data using word2vec. Based on the results of the morphological analysis, we grouped the business katakana words and examined “business katakana words that should be avoided” and “business katakana words that should not be avoided”.

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