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KMID : 0665420230380010001
Korean Journal of Food Culture
2023 Volume.38 No. 1 p.1 ~ p.14
Change in Market Issues on HMR (Home Meal Replacements) Using Local Foods after the COVID-19 Outbreak: Text Mining of Online Big Data
Joo Yoo-Jeong

Byeon Woo-Jin
Yoon Ji-Hyun
Abstract
This study was conducted to explore the change in the market issues on HMR (Home Meal Replacements) using localfoods after the COVID-19 outbreak. Online text data were collected from internet news, social media posts, and webdocuments before (from January 2016 to December 2019) and after (from January 2020 to November 2022) the COVID-19 outbreak. TF-IDF analysis showed that ¡®Trend¡¯, ¡®Market¡¯, ¡®Consumption¡¯, and ¡®Food service industry¡¯ were the majorkeywords before the COVID-19 outbreak, whereas ¡®Wanju-gun¡¯, ¡®Distribution¡¯, ¡®Development¡¯, and ¡®Meal-kit¡¯ were mainkeywords after the COVID-19 outbreak. The results of topic modeling analysis and categorization showed that after theCOVID-19 outbreak, the ¡®Market¡¯ category included ¡®Non-face-to-face market¡¯ instead of ¡®Event,¡¯ and ¡®Delivery¡¯ instead of¡®Distribution¡¯. In the ¡®Product¡¯ category, ¡®Marketing¡¯ was included instead of ¡®Trend¡¯. Additionally, in the ¡®Support¡¯ category,¡®Start-up¡¯ and ¡®School food service¡¯ appeared as new topics after the COVID-19 outbreak. In conclusion, this study showedthat meaningful change had occurred in market issues on HMR using local foods after the COVID-19 outbreak. Therefore,governments should take advantage of such market opportunity by implementing policy and programs to promote thedevelopment and marketing of HMR using local foods.
KEYWORD
COVID-19, local food, home meal replacement, text mining, social media
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