빅데이터 분석을 활용한 코로나-19 시대 뷰티, 미용 관련 연구동향 분석

This study applied big data analysis to thesis and academic thesis to identify topics that appeared in domestic beauty and beauty theses from 2021 to 2023, which was during the corona period. The analysis period of the paper was divided into period 1 from 2021 to the first half of 2022, and period 2 from the second half of 2022 to 2023. As analysis methods, word frequency by period (TF), word frequency-inverse document frequency (TF-IDF), and N-gram were conducted. First, as for the key keywords by period, it can be seen that corona and influence are distributed in the upper ranks in both the 1st and 2nd periods, and in the 2nd period, purchase satisfaction, purchasing behavior, and beauty consumption psychology appear in the upper ranks, showing clear changes. can confirm. Second, as a result of analyzing word frequency-inverse document frequency (TF-IDF) by period, impact, knowledge, and prevention practice appeared as high-ranking keywords in period 1, but did not appear in the top ranking in period 2. The keywords that ranked high in the second period were identified as purchase satisfaction, purchase behavior, beauty shop, customer, and consumer sentiment. Third, as a result of N-gram analysis by period, the co-occurrence frequency of words in period 1 was high in the order of attitude followed by knowledge, and the frequency of co-occurrence was high in the order of prevention practice after attitude. The frequency of occurrence of words in period 2 was high in the order of time after corona, and the frequency of appearance of purchase behavior was high after beauty consumption psychology. Through the results of this study, it was possible to see that keywords such as prevention, practice, and attitude, which did not appear in previous studies due to the unprecedented epidemic of corona, were being studied as influencing factors of beauty and beauty purchasing behavior.