Big Data Analysis of Social Texts on Siui Jeonseo

This study investigates how Siui Jeonseo, a culinary manuscript from the late Joseon Dynasty, is reinterpreted in the modern digital environment using social text–based big data analysis. While existing research has mainly focused on historical and qualitative aspects, this study adopts a quantitative approach to examine public perceptions and cultural usage. A total of 2,318 online texts from January 2023 to May 2025 were analyzed using text mining techniques, including word frequency, TF-IDF, co-occurrence networks, and CONCOR clustering. Results show that modern food items such as “sundae,” “tteokbokki,” and “bibimbap” are frequently linked to Siui Jeonseo, suggesting its ongoing relevance. Keywords like “Sangju” and “Gyeongbuk” further reflect its regional and institutional significance. Eight thematic clusters derived from CONCOR analysis reveal connections to tradition, local identity, culinary innovation, and food industry applications. These findings indicate that Siui Jeonseo functions today not merely as a historical record but as a dynamic cultural asset used across contemporary culinary, educational, and tourism contexts. Academically, this research offers a scalable, data-driven method for food culture studies. Practically, it provides insight for developing local menus, heritage-based food branding, and traditional food education content.

Authors

Publication Details

Journal
Culinary Science & Hospitality Research
Published
2025-08-31
DOI
https://doi.org/10.20878/cshr.2025.31.8.004
Primary Topic
Educational Systems and Policies
Type
article
Field-Weighted Citation Impact
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article

Big Data Analysis of Social Texts on Siui Jeonseo

Hyun‐Min Kim, Julian Nam, Byeong-Hyeon Park
Culinary Science & Hospitality Research
Educational Systems and Policies
article

Big Data Analysis of Social Texts on Siui Jeonseo

Hyun‐Min Kim, Julian Nam, Byeong-Hyeon Park
article en

Abstract

This study investigates how Siui Jeonseo, a culinary manuscript from the late Joseon Dynasty, is reinterpreted in the modern digital environment using social text–based big data analysis. While existing research has mainly focused on historical and qualitative aspects, this study adopts a quantitative approach to examine public perceptions and cultural usage. A total of 2,318 online texts from January 2023 to May 2025 were analyzed using text mining techniques, including word frequency, TF-IDF, co-occurrence networks, and CONCOR clustering. Results show that modern food items such as “sundae,” “tteokbokki,” and “bibimbap” are frequently linked to Siui Jeonseo, suggesting its ongoing relevance. Keywords like “Sangju” and “Gyeongbuk” further reflect its regional and institutional significance. Eight thematic clusters derived from CONCOR analysis reveal connections to tradition, local identity, culinary innovation, and food industry applications. These findings indicate that Siui Jeonseo functions today not merely as a historical record but as a dynamic cultural asset used across contemporary culinary, educational, and tourism contexts. Academically, this research offers a scalable, data-driven method for food culture studies. Practically, it provides insight for developing local menus, heritage-based food branding, and traditional food education content.

Culinary Science & Hospitality ResearchVol. 31(8)
Openalex Percentile: Top 65%
Educational Systems and Policies
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