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http://dx.doi.org/10.5859/KAIS.2020.29.4.171

A study on cultural characteristics of foreign tourists visiting Korea based on text mining of online review  

Yao, Ziyan (부산대학교 경영학과)
Kim, Eunmi (경희대학교 스마트관광연구소)
Hong, Taeho (부산대학교 경영학과)
Publication Information
The Journal of Information Systems / v.29, no.4, 2020 , pp. 171-191 More about this Journal
Abstract
Purpose The study aims to compare the online review writing behavior of users in China and the United States through text mining on online reviews' text content. In particular, existing studies have verified that there are differences in online reviews between different cultures. Therefore, the purpose of this study is to compare the differences between reviews written by Chinese and American tourists by analyzing text contents of online reviews based on cultural theory. Design/methodology/approach This study collected and analyzed online review data for hotels, targeting Chinese and US tourists who visited Korea. Then, we analyzed review data through text mining like sentiment analysis and topic modeling analysis method based on previous research analysis. Findings The results showed that Chinese tourists gave higher ratings and relatively less negative ratings than American tourists. And American tourists have more negative sentiments and emotions in writing online reviews than Chinese tourists. Also, through the analysis results using topic modeling, it was confirmed that Chinese tourists mentioned more topics about the hotel location, room, and price, while American tourists mentioned more topics about hotel service. American tourists also mention more topics about hotels than Chinese tourists, indicating that American tourists tend to provide more information through online reviews.
Keywords
Online review; Cross-cultural; Text mining; Sentiment analysis; Topic analysis;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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