A Study on Consumption Trends in Middle Age using Big Data Analysis

This study used big data analysis to discuss consumption trends in middle age and collected data using keywords such as middle age, beauty, fashion, and consumption. The collection channels were domestic portal sites such as Naver, Daum, and Google’s web documents, blogs, and cafes, and the data collection period was set from January 1, 2022 to August 30, 2023. Online text data was collected through the Textome program, and text mining analysis such as frequency analysis, TF-IDF, and network analysis was performed on the refined documents. As a result of the analysis, the top keywords derived from text mining were middle-aged, fashion, women, appearance, hairstyle, etc., and as a result of TF-IDF analysis based on this, middle-aged, fashion, women, appearance, hairstyle, etc. were important keywords. appeared. As a result of conducting a keyword network analysis that identified the interconnection structure focusing on middle-aged people, it was found that there was a high correlation with fashion, women, appearance, consumption, etc. As a result of CONCOR analysis, clusters representing economics, appearance, consumption, and fashion were found. Through this study, it was possible to analyze and predict middle-aged consumers’ perceptions and evaluations, and trends and trends in the fashion and beauty markets, and it was confirmed that fashion and consumption are common topics for middle-aged consumers.