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텍스트 마이닝 기법을 활용한 도시 브랜드 평가방법론 연구 : 뉴스미디어를 중심으로
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Publication Year
2019-03
Journal
한국IT서비스학회지
Publisher
한국IT서비스학회
Citation
한국IT서비스학회지, Vol.18 No.1, pp.153-171
Keyword
City BrandCity Brand ImageNewsData MiningText MiningTopic ModelingWord Cloud
Abstract
Competition among cities has become fierce with decentralization and globalization, and each city tries to establish a brand image of the city to build its competitiveness and implement its policies based on it. At this time, surveys, expert interviews, etc. are commonly used to establish city brands. These methods are difficult to establish as sampling methods an empirical component, the biggest component of a city brand. In this paper, therefore, based on the  precedent research’s urban brand measurement and components, the words representing each city image property were extracted and relocated to five indicators to form the evaluation index. The constructed indicators have been validated through the review of three experts. Through the index, we analyzed the brands of four cities, Ulsan, Incheon, Yeosu, and Gyeongju, and identified the factors by using Topic Modeling and Word Cloud. This methodology is expected to reduce costs and monitor timely in identifying and analyzing urban brand images in the future.
ISSN
1975-4256
Language
Kor
URI
https://aurora.ajou.ac.kr/handle/2018.oak/34986
Type
Article
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Kang, Ju Young Image
Kang, Ju Young강주영
Department of Business Intelligence
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