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Analysis of Taiwanese Food Trends in Korea Using Social Big Data: Focusing on blog text analysis
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소셜 빅데이터를 이용한 한국내의 대만음식 트렌드 분석 : 블로그 텍스트 분석을 중심으로

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Type
Academic journal
Author
Journal
Tourism Management Research Organization 관광경영연구 관광경영연구 제24권 제3호
Published
2020.1
Pages
71 - 91 (21page)

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Analysis of Taiwanese Food Trends in Korea Using Social Big Data: Focusing on blog text analysis
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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.

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References (46)

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곽기영 / 2014 / 소셜네트워크분석 / 청람 google schola 김병수 / 2014 / 빅데이터 시대, SNS 사용자의 정보 공유 행태 분석: 프라이버시 계산 이론 관점에서 / e-비즈니스연구 15(1):291~309 dbpia 김세령 / 2019 / 경의선숲길 조성 전후의 연남동 방문자의 경험 분석 -블로그 텍스트 분석을 중심으로- / 한국조경학회지 47(4):33~49 dbpia 김태호 / 2017 / 시계열 자료를 활용한 치킨 프랜차이즈 기업의 레버리지 효과에 따른 영업순환주기에 관한 연구 / 관광학연구 41(4):151~170 dbpia 김현주 / 2011 / 관광자의 소셜네트워크서비스(SNS) 이용특성과 여행소비행동 간의 관련성 연구 / 관광경영연구 15(4):63~84 dbpia

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