Analyzing Consumer Preferences in Sustainable Clothing through Text Mining of Online Reviews

Additional Metadata
Keywords	Sustainable clothing; Online consumer reviews; Product attributes; Latent Dirichlet Allocation (LDA); Aspect-Based Sentiment Analysis; Attribute importance.
Thesis Advisor	Tetereva, A
Persistent URL	hdl.handle.net/2105/66714
Series	Business Economics
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Urpinell, À. (2023, September 7). Analyzing Consumer Preferences in Sustainable Clothing through Text Mining of Online Reviews. Business Economics. Retrieved from http://hdl.handle.net/2105/66714

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