Real-time analysis and predictability of the health functional food market using big data

作     者：Kim, Sang-Soon Lim, Seokwon Kim, Sangoh 

作者机构：Dankook Univ Dept Food Engn Dandae Ro 119 Cheonan Si 31116 Chungcheongnam South Korea Gachon Univ Dept Food Sci & Biotechnol Sungnamdero 1342 Sungnam Si 13120 Gyeonggi Do South Korea Sangmyung Univ Dept Plant & Food Engn Sangmyeongdae Gil 31 Cheonan Si 31066 Chungcheongnam South Korea 

出 版 物：《FOOD SCIENCE AND BIOTECHNOLOGY》 (食品科学与生物工程杂志)

年 卷 期：2021年第30卷第13期

页      面：1667-1674页

核心收录：

学科分类：0832[工学-食品科学与工程（可授工学、农学学位）] 08[工学] 

基　　金：None 

主　　题：Big data Application programming interfaces Online shopping Health functional food Programming 

摘      要：This study conducted a real-time analysis of the health functional food market using big data. To assess the scope of big data in market analysis, big data of the health food category were compared and analyzed with actual market data. Data were first collected using a program to obtain data, through application programming interfaces, followed by SPSS to compare and analyze the actual market index and shopping search word data. The correlation between the online search data and the actual market was high, indicating that online search data can be used to predict the trend of the actual market. Various types of data, such as items and major functional ingredients, can be collected and analyzed through the program developed for this study, which is also used to predict the market trend. The results demonstrate how APIs can be used to predict market size in the food industry effectively.