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...
| Published in: | ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL |
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| Main Authors: | , , , , |
| Format: | Proceedings Paper |
| Language: | English |
| Published: |
E-IPH LTD UK
2025
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001428648800001 |