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소셜 빅데이터를 이용한 한국내의 대만음식 트렌드 분석 : 블로그 텍스트 분석을 중심으로

원문정보

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

고진현, 정유경

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초록

영어

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

ABSTRACT
Ⅰ. 서론
Ⅱ. 이론적 배경
1. 소셜 빅데이터
2. 한국내의 대만음식 트렌드
Ⅲ. 연구방법
1. 텍스트 마이닝
2. 데이터 수집
3. 데이터 정제과정
4. 데이터 분석방법
Ⅳ. 연구결과
1. 대만음식 블로그 추이
2. 대만음식 연관 단어 빈도
3. 연결중심성 분석
4. 구조적 등위성 탐색: CONCOR 분석
Ⅴ. 결론
참고문헌

저자정보

  • 고진현 Jinhyun Koh. 세종대학교 호텔관광대학 강사
  • 정유경 Yukyeong Chong. 세종대학교 호텔관광대학 교수

참고문헌

자료제공 : 네이버학술정보

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