An Analysis of Public Perception on Equestrian Clothing During the Covid-19 Outbreak

Abstract

This study aimed to investigate the public perception of equestrian clothing during the COVID-19 outbreak. Using a big data analysis platform (Sometrend), text mining analysis was used as the study methodology. The phrase subject to analysis was "equestrian clothing," and the analysis period spanned the years 2020 and 2021. Frequency, equestrian clothing, and emotion words were analyzed. The results of the study showed that except for the summer, which includes the Olympic period, there was a considerable rise in equestrian clothing from fall to winter. The referenced word most closely related to equestrian clothing was "pants." Positive words about equestrian clothing appeared more than negative words, such as "suitable," "good," and "pretty." In conclusion, during the COVID-19 pandemic, the public's interest in equestrian clothing peaked in the fall and winter, and interest in pants was high. The people also had favorable opinions of the riding clothing fashion. The public will need equestrian clothing with a variety of designs in the future, as well as riding pants appropriate for the fall and winter. This study can provide data for the development of equestrian clothing in the future.