旅游
潜在Dirichlet分配
营销
层次分析法
服务(商务)
市场细分
业务
顾客满意度
心理学
知识管理
计算机科学
主题模型
工程类
地理
运筹学
人工智能
考古
作者
Xin Sun,Zhengyu Wang,Meiyu Zhou,Tianxiong Wang,Hongying Li
出处
期刊:Heliyon
[Elsevier BV]
日期:2023-12-11
卷期号:10 (1): e23539-e23539
被引量:20
标识
DOI:10.1016/j.heliyon.2023.e23539
摘要
Tourism motivation and satisfaction are classic themes in tourism research. This study combines latent Dirichlet allocation (LDA) and the Censydiam motivation model to analyze online reviews of tourism in Qinghai, China. The aim of this research is to explore tourist motivation through online reviews and provide innovative service suggestions to improve tourist satisfaction. The LDA model initially extracts six main topics from online comments. Then, using the fuzzy analytic hierarchy process (FAHP), it maps the relationship between topics and tourism motivations to propose strategies for enhancing tourists' enjoyment, conviviality, and other motivating factors. Furthermore, we employ the Kano model to evaluate tourists' satisfaction levels regarding these strategies, demonstrating their positive evaluations. Hence, this study provides tourism industry professionals and service designers with an innovative method for understanding tourists' motivations through online reviews, enabling them to design specific services that enhance tourism experiences.
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