In this paper, we will identify the destination attributes of a popular urban park and investigate their specific roles in forming visitors' behavioural intentions using text mining approaches. The principles of natural language processing and psychometric procedure were combined to achieve the objectives of the research. Initially, park visitors’ online reviews were collected and analysed to identify possible latent dimensions for questionnaire design. Then, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used for crucial factor selection and verification. Lastly, a structural equation model (SEM) was constructed to investigate the impacts of these park attributes on the behavioural intention of visitors.

在本文中，我们将识别热门城市公园的目的地属性，并使用文本挖掘方法研究其在形成访客行为意图方面的具体作用。自然语言处理和心理测验程序的原则相结合，以达到研究目的。最初，收集并分析了公园游客的在线评论，以确定可能的潜在维度用于问卷设计。然后，探索性因素分析（EFA）和确认性因素分析（CFA）用于关键因素的选择和验证。最后，构建了一个结构方程模型（SEM），以研究这些公园属性对游客行为意图的影响。