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http://dx.doi.org/10.9716/KITS.2019.18.1.153

A Study on City Brand Evaluation Method Using Text Mining : Focused on News Media  

Yoon, Seungsik (아주대학교 e-비즈니스 학과)
Shin, Minchul (아주대학교 경영정보학과)
Kang, Juyoung (아주대학교 경영대학 e-비즈니스 학과)
Publication Information
Journal of Information Technology Services / v.18, no.1, 2019 , pp. 153-171 More about this Journal
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.
Keywords
City Brand; City Brand Image; News; Data Mining; Text Mining; Topic Modeling; Word Cloud;
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Times Cited By KSCI : 1  (Citation Analysis)
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