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A Cluster Analysis of Lotte Young Plaza Using Semantic Network Analysis Method

机译:利用语义网络分析方法的乐天年轻广场的集群分析

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The COVID-19 pandemic has had a significant impact on tourism-driven industries worldwide. As East Asia is gaining control in the fight against the coronavirus, countries in this region started easing their travel restrictions. Tourist-oriented retail stores are slowly preparing to receive international visitors again, and to be well adjusted, it is crucial to understand foreign customers' perceptions. From the seven most popular tourism platforms in China, we collected comments about Lotte Young Plaza in South Korea and applied semantic network analysis to understand its perception among young Chinese customers. Based on this analysis, we divided the conclusions into 6 aspects: People whose main purpose is to buy clothes, people who have communication needs in Chinese, the Lotte Department Store's driving force on customer flow to Lotte Young Plaza, young people, features of Lotte Young Plaza (mouthwash) and cosmetics.
机译:Covid-19大流行对全球旅游驱动的行业产生了重大影响。由于东亚正在对抗冠状病毒的斗争来控制,该地区的各国开始缓解旅行限制。旅游型零售店正在慢慢准备再次接收国际游客,并进行很好的调整,了解外国客户的看法至关重要。从中国最受欢迎的旅游平台,我们收集了关于韩国乐天年轻广场的评论,并应用了语义网络分析,以了解年轻中国客户的看法。在此分析的基础上,我们将结论分为6个方面:主要目的是购买衣服的人,有沟通需求的人,乐天百货商店对客户流向乐天年轻广场,年轻人,乐天的特点年轻的广场(漱口水)和化妆品。

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