음식축제 관광의 활성화를 위한 K-푸드의 홍보방향 : 소셜 빅데이터를 활용한 떡볶이 연관어 분석을 중심으로

Abstract

In order to present a vision for food tourism necessary for the sustainable growth of K-food and take a global leap, and to revitalize food tourism, we must prepare for the future of food tourism by actively promoting K-food. Therefore, promotion through social media is active in food tourism. Customers share information about the company through social media and communicate with other customers. Because of these characteristics, a significant number of restaurant companies use social media as a marketing channel. The big data analysis methods, which finds information by analyzing vast amounts of Internet-based data, is useful for understanding the meaning and relationship of information. The analysis method was analyzed using the data collection site SomeTrend for ‘text mining’ and ‘semantic network analysis’, and the main keywords were collected as related words of ‘Tteokbokki’, ‘Food Festival’, and ‘K-Food’. Social big data can be used as a way to interpret trends. Based on these research methods, it is a theoretical exploration of ways to connect food festivals and tourism strategies for Tteokbokki, a representative food based on traditional knowledge of K-Food, to meet the needs of food tourism and globalize K-Food. And it is a study to present effective implications from a practical point of view.