基于网络文本的特色小镇游客感知形象分析——以杏花村镇为例
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Analysis of Tourists’Perception Image of Characteristic Towns Based on Network Text: A Case Study of Xinghua Village and Town
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    摘要:

    通过互联网收集主流旅游网站上有关杏花村镇的游客评论,利用ROST Content Mining软件对游客评论文本进行词频、语义网络及情感分析,得出游客对于整个景区的旅游环境、特色文化是比较满意的,但也有对管理、服务设施、服务质量上的不满评价。因此,杏花村镇应通过加强服务管理水平、完善基础设施建设、创新酒文化产品、加大宣传力度,完善特色小镇整体形象,使游客游玩体验更进一步,吸引更多游客前来的同时打造山西又一知名品牌。

    Abstract:

    Tourist comments about Xinghua Village and Town on mainstream tourism websites were collected through the internet, and ROST Content Mining software was used to analyze the word frequency, semantic network and emotion of tourist comment texts. It is concluded that tourists are relatively satisfied with the tourism environment and distinctive culture of the entire scenic area, but there are also dissatisfaction evaluations on management, service facilities and service quality. Therefore, Xinghua Village and Town should strengthen service management level, improve infrastructure construction, innovate liquor cultural products, increase publicity efforts, and improve the overall image of the characteristic town, so as to further enhance the tourist experience, attract more tourists, and create another well-known brand in Shanxi.

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袁崇桓,孙舔轲,牛俊杰.基于网络文本的特色小镇游客感知形象分析——以杏花村镇为例[J].科技与产业,2025,25(02):198-203

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  • 在线发布日期: 2025-02-18
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