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Social Media Sentiment Analysis: The Case of Digital Luxury Fashion Shows

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dc.contributor.advisor Sammouri, Wissam
dc.contributor.advisor Farah, Maya
dc.contributor.advisor Ramadan, Zahy
dc.contributor.author Tawk, Patricia
dc.date.accessioned 2022-05-18T07:54:29Z
dc.date.available 2022-05-18T07:54:29Z
dc.date.issued 5/18/2022
dc.date.submitted 5/12/2022
dc.identifier.uri http://hdl.handle.net/10938/23440
dc.description.abstract Luxury brands have often been hesitant to embrace social media to a full extent, however, the COVID-19 pandemic prompted many to adopt digital strategies. Designers and their teams reinvented fashion show presentations and, for the first time, virtually streamed their collection, in different themes. So far, there has been no analysis of people’s perception on these digital shows. This study aims to provide a general understanding of these virtual strategies, to perform sentiment analysis on the user-generated comments from social media channels and then suggest digital social media strategies for the different fashion show themes. This research fills an arising gap in the literature regarding digital marketing strategies and luxury brands
dc.language.iso en_US
dc.subject Sentiment Analysis, Social Media, Digital Luxury Fashion Shows, Luxury Brands, Machine Learning, Digital Marketing, Digital Strategy
dc.title Social Media Sentiment Analysis: The Case of Digital Luxury Fashion Shows
dc.type Thesis
dc.contributor.department Business Analytics
dc.contributor.faculty Suliman S. Olayan School of Business
dc.contributor.institution American University of Beirut
dc.contributor.commembers Sammouri, Wissam
dc.contributor.degree MS
dc.contributor.AUBidnumber 202023236


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