摘要
采集携程等旅游网站上以"武陵源景区"为主题的62篇游记,运用ROST Content Mining软件,对内容分析法中的词频、高频词语义网络和情感进行分析。结果显示,游客对武陵源整体意象感知是以"石峰溪流"为主的自然景观类旅游地,旅游活动的主要形式为徒步或索道观光,对餐饮、娱乐等感知不够强烈;文本语义网络基本呈现核心—次核心—外围的圈层结构;情感形象成分以积极情感为主。并为武陵源景区意象的完善和提升提出建议。
62 travel notes with the theme of"Wulingyuan Scenic Area"from some tour website,such as Ctrip,are studied. Using ROST Content Mining software,word frequency,sematic web and emotion are analyzed. Results show that tourists' perception of overall image is that a natural landscape destination is filled with the features of mountains and streams; the main activity of tourists is sightseeing on foot or by cable; their perception for entertainment is not strong enough; the text semantic network basically presents the circle structure of"core-subcore-periphery"; positive emotions occupy the main position of the image of emotion. Finally,some relevant suggestions are put forward to provide the basis for the improvement of the image of Wulingyuan scenic area.
出处
《重庆交通大学学报（社会科学版）》
2017年第6期59-64,共6页
Journal of Chongqing Jiaotong University:Social Sciences Edition
基金
国家旅游局旅游业青年专家培养项目"积极心理学视角的饭店高绩效领导力构建与开发"(TYEPT201540)
国家民族委员会科研课题"基于企业社会责任理论的民族地区旅游精准扶贫案例研究"(2017-GMC-013)
湖南省教育厅科研课题"众创空间创业生态系统演化研究:机理
路径与政策效应"(17B175)
关键词
旅游意象
感知
内容分析
网络文本
武陵源景区
tourism image
perception
content analysis
web text
Wulingyuan scenic area
