摘要
深入研究游客对景区空气的感知对提高游客满意度具有重要意义。运用网络文本分析法,获取携程网站上游客关于中国5A级景区空气的评论文本,借助ROST Content Mining和Gephi软件对游客关于景区空气的感知情况进行高频词分析、情感分析和聚类分析。结果显示:(1)游客正面情感词优先于负面情感词,正面情感词又可以分为心情类、空气评价类和景色评价类。此外还可初步得知游客的整体认知主要包括自然风景、旅游景点和设施服务;(2)2014年至2018年,每年正面情绪都占比90%以上,负面情绪其次,而中性评论比例最低;(3)感知内容主要包括客观事物主导型词汇、身心主导型词汇、风景评价主导型词汇和山水主导型词汇四个聚类。
It is of great significance to study tourists’perception of scenic air to improve tourist satisfaction.Using the network text analysis to obtain the tourist comments on the air of the 5 A scenic spots in China on C-trip website,the high frequency word analysis,sentiment analysis and cluster analysis of the tourists’perception of the air in the scenic spots are carried out with the help of ROST Content Mining and Gephi software.The results show that:(1)the positive emotion words take precedence over the negative emotion words,and the positive emotion words can be divided into mood,air and scenery evaluation.In addition,it can be preliminarily learned that the overall cognition of tourists mainly includes natural scenery tourist attractions and facilities services.(2)From 2014 to 2018,positive emotions accounted for more than 90 per cent of each year,followed by negative emotions and the lowest proportion of neutral comments.(3)Cluster analysis further concluded that the content of perception mainly includes four clusters:objective-oriented vocabulary,physical and mental-oriented vocabulary,landscape-oriented vocabulary and landscape-oriented vocabulary.
作者
刘文佳
LIU Wen-jia(College of History and Culture and Tourism,Jiangsu Normal University,Jiangsu Xuzhou 221116,China)
出处
《国土与自然资源研究》
2021年第1期94-96,共3页
Territory & Natural Resources Study
基金
江苏师范大学研究生科研创新计划项目(2019XKT242)。
关键词
游客
景区空气
网络文本
感知
Tourist
Scenic air
Network text
Perception
