【摘要】 网络信息和舆情的聚合效应，影响了旅游者对目的地形象感知的力度，旅游目的地网络形象成为关注的对象。本文将预警理论应用于旅游目的地网络形象的研究中，基于网络采集的文本数据，利用词频分析和聚类分析构建了预警指标初始体系，利用Delphi（应用程序开发工具）法对初始指标进行筛选，并将Delphi和AHP（层次分析法）方法结合成Delphi-AHP并用来确定各指标的权重，为旅游目的地网络形象预警机制的研究提供理论基础。更多还原

【Abstract】 The aggregation effect of network information and public opinion affects tourists’ perception of destination image, and the network image of tourism destination has become the object of attention. In this paper, the early warning theory is applied to the research on the network image of tourist destinations. Based on the text data collected from the network, the initial system of early warning indicators is constructed by word frequency analysis and cluster analysis, and the initial indicators are screened by the Delphi(application development tool) method., and combine Delphi and AHP(Analytic Hierarchy Process) methods into Delphi-AHP and use it to determine the weight of each index, which provides a theoretical basis for the research on the early warning mechanism of tourist destination network image.更多还原