A Study on the Social Perception of Estheticians Using Big Data

Abstract

This study looked at the social perception of skin care professionals through big data analysis. Data provided by web data over the past five years (2018.1.1.-2022.6.30.) have been collected, focusing on the keywords of skin care professionals, and the tools used for analysis are Textom and UCINET6. If you look at the results, First, As a result of analyzing the frequency of keywords related to skin care professionals, it was found in the order of skin national certificates, skin care certificate, practical examination, beauty academy, written examination, hairdresser, acceptance, and skin care room. Second, using NetDraw, we were able to visualize the overall network structure of Estheticians' perceptions and grasp the relationship between each keyword at the same time. Third, as a result of the connection centrality analysis, it was found in the order of skin national certificate, beauty academy, skin care certificate, practical examination, sale, written examination, and hairdresser. Fourth, as a result of conducting CONCOR analysis, there were four clusters: working environment, skin certificate, professional qualification, and beauty education. Therefore, it is necessary to plan and establish a marketing strategy to change the qualifications and work tasks of the skin national certificate so that the skin national certificate can be recognized as a more professional and reliable certificate.