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

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, throug...

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Detalles Bibliográficos
Autores principales: Kim, Sang-Soon, Lim, Seokwon, Kim, Sangoh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616985/
https://www.ncbi.nlm.nih.gov/pubmed/34849049
http://dx.doi.org/10.1007/s10068-021-00999-5
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author Kim, Sang-Soon
Lim, Seokwon
Kim, Sangoh
author_facet Kim, Sang-Soon
Lim, Seokwon
Kim, Sangoh
author_sort Kim, Sang-Soon
collection PubMed
description 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.
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spelling pubmed-86169852021-11-26 Real-time analysis and predictability of the health functional food market using big data Kim, Sang-Soon Lim, Seokwon Kim, Sangoh Food Sci Biotechnol Research Article 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. Springer Singapore 2021-11-26 /pmc/articles/PMC8616985/ /pubmed/34849049 http://dx.doi.org/10.1007/s10068-021-00999-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Kim, Sang-Soon
Lim, Seokwon
Kim, Sangoh
Real-time analysis and predictability of the health functional food market using big data
title Real-time analysis and predictability of the health functional food market using big data
title_full Real-time analysis and predictability of the health functional food market using big data
title_fullStr Real-time analysis and predictability of the health functional food market using big data
title_full_unstemmed Real-time analysis and predictability of the health functional food market using big data
title_short Real-time analysis and predictability of the health functional food market using big data
title_sort real-time analysis and predictability of the health functional food market using big data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616985/
https://www.ncbi.nlm.nih.gov/pubmed/34849049
http://dx.doi.org/10.1007/s10068-021-00999-5
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