| 요약2 |
The COVID-19 pandemic has significantly increased the amount of time people have spent at home, leading to a heightened interest in interior design. It has also boosted purchases through online platforms. Consequently, furniture and interior design companies that previously focused on offline sales have started to shift their focus to the online market. However, analysis of the online market is still lacking in the interior design industry, which has traditionally been dominated by offline market sales. This study proposes utilizing LDA (Latent Dirichlet Allocation) topic modeling to identify interior design trends by space, based on customer post data from online platforms. To empirically validate this approach, data from Hanssem Mall, leading the interior design market in South Korea, was used to extract interior design trends for each space. Our findings reveal that product-related topics dominate discussions in living rooms, children’s rooms, studies, and balconies. In contrast, brand-related topics are more significant in kitchens. Design-related topics are most relevant for bedrooms, dressing rooms, bathrooms, and dining rooms, while size and specification-related topics are prominent for entrance areas. These insights provide richer information compared to traditional trend analysis that only utilized post titles, enabling more accurate and detailed trend analysis by space. This study provides valuable insights into consumer interest in online platforms through real-world data. |