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作 者:江涛 JIANG Tao(Shenzhen College of Tourism,Jinan University,Shenzhen 518053,Guangdong,China)
出 处:《科技和产业》2024年第1期125-130,共6页Science Technology and Industry
摘 要:选取阆中古城作为案例地,运用ROST Content Mining软件对从蚂蜂窝、携程网、去哪儿网上以“阆中古城”为主题的82篇网络游记进行网络文本分析,探索阆中古城的旅游地意象。结果表明:阆中古城的旅游地意象可划分为景观意象、文化意象、地方意象和情感意象4个维度;语义网络呈现出“核心-次核心-次外围-外围”的4层结构;游客感知的情感意象总体以积极中性的情绪类型为主,消极情绪主要归因于基础设施不完善、古城商业化严重以及活动项目质量不高等负面情绪。Langzhong ancient city is taken as a case,and ROST Content Mining software is used to conduct network text analysis on 82 online travel notes with the theme of“Langzhong Ancient City”from Mafengwo,Ctrip and Qunar.The results show that Langzhong Ancient City’s tourism image can be divided into four categories landscape image,cultural image,place image and emotional image.The graph of Semantic Network Analysis presents a four-layer structure of“Core-secondary core-secondary peripheral-peripheral”.The emotional images perceived by tourists are mainly positive and neutral.The negative emotions are mainly attributed to the negative emotions such as imperfect infrastructure,serious commercialization of the ancient city and the low quality of activities.
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