Exploring Product Attributes from Online Reviews of Conventional and Sustainable Menstrual Products via Topic Modeling and Sentiment Analysis

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Keywords	Online review, Topic modeling, Sentiment analysis, Green purchase decision, Conventional menstrual product, Sustainable menstrual product
Thesis Advisor	Kusterer, David Jakob, Szymanowski, Maciej
Persistent URL	hdl.handle.net/2105/71945
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
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	Shih, Yi Ju. (2024, July 2). Exploring Product Attributes from Online Reviews of Conventional and Sustainable Menstrual Products via Topic Modeling and Sentiment Analysis. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/71945

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