DISCUSSION TOPICS ON FASHION RENTAL

AN APPLICATION OF TOPIC MODELLING WITH LDA AND SENTIMENT ANALYSIS WITH DATA FROM TWITTER

Student: Fabian Pirrwitz (HB)
HEI’s Tutor: Vijay Kumar (HB)
Company’s tutor: Fredrik Timour (WLY)
Residency duration: 3 months

The purpose of this study is to investigate the opinions and discussions related to fashion rental using social media platforms such as Twitter. By applying a primary data analysis and a topic modelling approach with a following semantic analysis, the research showed differences to the current understanding of opinions and motivations of consumers towards fashion rental. Whereas in literature, sustainability is mentioned as a main argument by consumers, this research showed that features such as the availability, price point and service, and subscription options are the main drivers to engage in fashion rental.

model-framework

#Social network platform

#Fashion rental

#Text mining

#Data and semantic analysis

#Sustainability

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