微信公众号

编辑部微信号

旅游导刊 ›› 2021, Vol. 5 ›› Issue (4): 79-96.DOI: 10.12054/lydk.bisu.159

• • 上一篇    

基于UGC评论和TSE模型的我国游客爱国情感研究

刘逸(),李广涵,李晓娟   

  1. 中山大学旅游学院 广东广州 510275
  • 收稿日期:2020-04-22 修回日期:2021-05-20 出版日期:2021-08-30 发布日期:2021-08-27
  • 作者简介:刘 逸(1980— ),男,广东汕头人,中山大学旅游学院副教授,博士生导师,研究方向:旅游地理、旅游大数据、情感挖掘。E-mail: liuyi89@mail.sysu.edu.cn。|李广涵(1996— ),男,黑龙江佳木斯人,中山大学传播与设计学院硕士研究生,研究方向:大数据传播。|李晓娟(1999— ),女,海南乐东人,中山大学旅游学院本科生,研究方向:旅游情感地理。
  • 基金资助:
    教育部人文社科基金项目(19YJAZH060);广东省哲学社科项目(GD20SQ21)

A Study on the Patriotic Sentiment of Chinese Tourists Based on UGC Reviews and the TSE Model

LIU Yi(),LI Guanghan,LI Xiaojuan   

  1. School of Tourism Management, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2020-04-22 Revised:2021-05-20 Online:2021-08-30 Published:2021-08-27

摘要:

爱国情感是社会科学研究领域的重要话题,然而旅游活动对爱国情感的影响机制尚未得到充分揭示。本文基于国内9个知名旅游目的地游客评论数据,构建旅游—爱国情感词库,借助TSE旅游情感评估模型,解析旅游目的地对我国游客爱国情感的影响内容与特征,由此解析我国游客爱国情感的表现。研究结论如下:(1)相对于一般评论,爱国情感相关的游客评论均带有较强的积极情绪,正面评论的占比较高;(2)旅游目的地的资源结构与区位对触发爱国情感有显著的影响作用,相对于自然类旅游资源,历史文化与民俗等人文类旅游资源更能够触发游客的爱国情感;(3)与国家政治因素密切相关的地理区位能够触发更强烈的爱国情感。本文的贡献在于创新性地运用旅游评论大数据对爱国情感进行了捕捉,发现了资源属性和区位两个显著的影响因素,同时也为爱国情感研究贡献了新的研究方法,有助于更好地制定爱国教育推广和目的地形象营销策略,具有较好的应用价值和宏观战略意义。

关键词: 爱国情感, 旅游情感评估, 旅游大数据

Abstract:

Although patriotic sentimentis an important research topic in social science research, the influence mechanism of tourism activities on patriotic sentiment has not yet been fully explored. Based on the data of tourists’ reviews of nine well-known domestic tourist destinations, this article constructs a tourism-related patriotism corpus. Using the tourism sentiment evaluation (TSE) model, it analyzes the content and characteristics of the influence of tourist destinations on the patriotic sentiment of Chinese tourists, thus illustrating the emotional expressions of Chinese tourists’ patriotic sentiment.
The study draws the following conclusions: (1) compared with general reviews, tourists’ reviews related to patriotic sentiment demonstrate strong positive sentiments, accounting for a much higher percentage of all reviews; (2) the resource structure and location of tourist destinations have a marked influence on domestic visitors’ sense of patriotic sentiment. Meanwhile, compared with natural attractions, artificial attractions involving historical culture and folklore may arouse tourists’ emotions of patriotic sentiment more considerably; and (3) a geographical location closely related to national and political factors can trigger stronger emotions of patriotic sentiment. The contribution of this research lies in the innovative use of big data of travelers’ reviews to capture Chinese tourists’ patriotic sentiment and in identifying the two most significant influencing factors of resource attributes and location. At the same time, it also provides new research methods for the study of patriotic sentiment. Finally, this study helps promote patriotic education and formulate better destination marketing strategies, thereby adding practical value and holding macro-strategic significance.

Key words: patriotic sentiment, tourism sentiment evaluation, tourism big data

中图分类号: