소셜 빅데이터를 이용한 한국내의 대만음식 트렌드 분석

• 영문명: Analysis of Taiwanese Food Trends in Korea Using Social Big Data: Focusing on blog text analysis
• 발행기관: 관광경영학회
• 저자명: 고진현 정유경
• 간행물 정보: 『관광경영연구』제24권 제3호, 71~91쪽, 전체 21쪽
• 주제분류: 사회과학 > 관광학
• 파일형태: PDF
• 발행일자: 2020.05.31

영문 초록

The purpose of this study is to analyze the trend of Taiwanese food in Korea using text mining analysis among social big data for blogs of representative portal site in Korea, and analyzed annual trends from 2015 to 2019. The frequency was analyzed by the collected data set of blogs searched for 'Taiwanese food', and 'Taiwan', 'Travel', and 'Food' were maintained high frequency steadily in the first ranking group. The main attribute of Taiwanese food is 'street food in the night market' as well. Since then, food-related words such as 'famous place for visit', 'local restaurants', 'tasty' and 'recommendation' have been frequently found in the second ranking group. Specific Taiwanese food appeared, especially 'Beef noodle', 'Mango bingsu(snow flakes with syrup)', 'Bubble tea', 'Taiwanese pancake', and 'Zippie(flat fried chicken) ' were recognized as the representative Taiwanese foods in Korea. These findings are expected to be valuable information for entering the Korean food market, which emphasizes the value for money and shows preferences for snack foods or sweet desserts.

목차

Ⅰ. 서 론

Ⅱ. 이론적 배경

Ⅲ. 연구방법

Ⅳ. 연구결과

Ⅴ. 결 론

참고문헌

키워드

Taiwanese Food Big Data Social Network Analysis Blogs Text Mining SNS