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...

書誌詳細
出版年:	ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL
主要な著者:	Suxia, Yu; Tajuddin, Rosita Mohd; Shariff, Shaliza Mohd; Tao, Meng
フォーマット:	Proceedings Paper
言語:	English
出版事項:	E-IPH LTD UK 2025
主題:	Environmental Sciences & Ecology
オンライン･アクセス:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001428648800001

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