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.

#Social network platform
#Fashion rental
#Text mining
#Data and semantic analysis