Analysis of Japanese beauty salon website by using topic model and covariance structure analysis

Abstract

A foreign traveler has many purposes while abroad. Some research tells eating delicious foods was travelers’ first priority and that visiting a hair salon was their seventh priority. Thus, foreign tourists are interested in visiting hair and beauty salons and would likely visit a beauty salon in Japan if they had a chance. there is much information for searching salons. However, they don’t have enough time to search for information. This study used data from the beauty salon website Hot Pepper Beauty, extracted 55,580 data. We analyzed these data and demonstrated the relationship among website data. The research method was as follows: first, a basic calculation was conducted for assessment elements that depended on the area. Second, a topic model was developed for investigating a part of the shop’s information, the stylist’s report, and the client examiner’s sentence. Third, an expected value computes each topic word and attempted to conduct correlation analysis. The analysis of the covariance structure also attempted to analyze the potential of the thematic model and evaluation. We obtained several outputs from these outputs and found future discussion topics for not only tourists but also shop managers and their staff.