A study on consumer perception of vegan food using big data analysis

Abstract

This study analyzed consumers' perceptions of 'Vegan food', which has recently become a global issue, with big data. Text data from 2020 to 2022 were collected from Daum and Naver with the word ‘Vegan food’ in using Textom. The results of this study are intended to provide relevant data to vegan food and food researchers. A total of 3,866(1,469KB) cases of collected data were analyzed for the data refinement process based on the collected data. Afterwards, frequency analysis and TF-IDF analysis were performed to extract the top 50 key words with high frequency of exposure. The density index of the network was identified through the degree of connectivity centrality analysis, and the connectivity relationship between component nodes was visualized based on centrality. and then the CONCOR analysis was performed through the connectivity relationship of core nodes to classify into four clusters.