Big Data Analysis on Emotional Drivers and Strategies for Slow Fashion Consumption

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Big Data Analysis on Emotional Drivers and Strategies for Slow Fashion Consumption

This study explored the emotional drivers of slow fashion consumption through big data analysis. Python was used to capture more than 10,000 slow fashion clothing review data from e-commerce platforms, and advanced data analysis (LDA, TF-IDF, semantic network) was used to reveal the emotional driver...

書目詳細資料
發表在:	ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL
Main Authors:	Suxia, Yu; Tajuddin, Rosita Mohd; Shariff, Shaliza Mohd; Tao, Meng
格式:	Proceedings Paper
語言:	English
出版:	E-IPH LTD UK 2025
主題:	Environmental Sciences & Ecology
在線閱讀:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001428648800001

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