Abstract
This study examines consumer perceptions of halal food through big data analysis. For the study, words related to halal food were collected through domestic portal sites and Textom was used for the analysis process. After data cleaning with 2,854 collected words, a total of 50 top key words related to halal food were derived through morphological analysis. The top key words were classified into four clusters through CONOCR analysis, and the clusters were classified into consumer perceptions of 'halal certification and slaughter-related awareness', 'halal-related religious awareness', 'halal food-related overseas market awareness', and 'domestic consumer awareness of halal food'. The results of this study analysed domestic consumer perceptions of halal food and drew various implications for related industries.
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