湖北农业科学 ›› 2020, Vol. 59 ›› Issue (16): 166-171.doi: 10.14088/j.cnki.issn0439-8114.2020.16.038

• 经济·管理 • 上一篇    下一篇

基于网络文本分析的大宋武侠城旅游形象研究

郭梦迪, 田玉辉, 孙利强, 王鹏飞   

  1. 河南农业大学林学院,郑州 450002
  • 收稿日期:2020-05-07 出版日期:2020-08-25 发布日期:2020-10-09
  • 通讯作者: 王鹏飞(1964-),男,河南信阳人,教授,博士,主要从事风景园林规划与设计研究,(电子信箱)188792041@qq.com。
  • 作者简介:郭梦迪(1996-),女,河南开封人,在读硕士研究生,研究方向为风景园林规划与设计,(电话)17739770553(电子信箱)1750785581@qq.com
  • 基金资助:
    国家自然科学基金项目(31600579)

Research on tourism image of the Song Dynasty of Kungfu city based on network text analysis

GUO Meng-di, TIAN Yu-hui, SUN Li-qiang, WANG Peng-fei   

  1. College of Forestry of Henan Agricultural University , Zhengzhou 450002,China
  • Received:2020-05-07 Online:2020-08-25 Published:2020-10-09

摘要: 以河南省开封市万岁山·大宋武侠城为例,通过携程网、同程网、马蜂窝等网站,获取景区相关的评论和游记。采用网络文本分析法,利用ROST Content Mining软件对文本进行高频特征词分析、语义网络分析和情感分析,研究游客对景区的旅游形象感知。结果表明,游客对大宋武侠城的文化主题特色感知较深,对旅游活动项目满意度较高,情感态度以正面情感为主,负面情感主要集中于景区的设施服务。景区应加大文化宣传力度,并着重提升景区的设施服务质量,以进一步提升景区的旅游形象。

关键词: 网络文本分析, 旅游形象, 大宋武侠城

Abstract: Take the Song Dynasty of Kungfu city in Kaifeng city of Henan province as an example,through websites such as Ctrip.com,LY.com and Mafengwo.com, the related comments and travel notes of the scenic spot were obtained. By using the network text analysis method and the Rost Content Mining software, the high-frequency feature words analysis, semantic network analysis and emotional analysis of the text were carried out,so as to study the tourists' perception of the tourism image of the scenic spot. The results showed that, tourists have a deep perception of the cultural theme characteristics of the Song Dynasty of Kungfu city, and have high satisfaction with the tourism activities. The emotional attitude was mainly positive, while negative emotions mainly focus on the facilities and services of the scenic spot. Therefore,the scenic spot should strengthen cultural publicity, and focus on improving the quality of facilities and services in scenic spot, so as to further enhance the tourism image of the scenic spot.

Key words: network text analysis, tourism image, the Song Dynasty of Kungfu city

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