Decoding Korean men’s fashion trends: a text mining analysis of YouTube content

Abstract YouTube immensely influences modern fashion. This study identified the key types of Korean male fashion YouTube video content as a large corpus of text data, examined the features of each type using text mining, and derived the characteristics of fashion content targeting Korean men in thei...

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Bibliographic Details
Main Authors: Nahyun Lee, Sungeun Suh
Format: Article
Language:English
Published: Springer Nature 2025-05-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-025-05051-z
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