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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| 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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