Affiliation:
1. Lanzhou University of Arts and Science, China
2. Lanzhou University, China
3. Cranfield University, UK; Tanta University, Egypt
4. Xiamen University, China
5. Peking University, China
Abstract
In tourism destination image research, topic modeling, mutual relationships among keywords, and image evolution trends have received limited attention. Filling these gaps in the extant literature, based on tourist gaze theory, this study is the first to use Latent Dirichlet Allocation, text visualization, and topic evolution trend methods to explore the Dunhuang Mogao Grottoes’ image. Analyzing 22,371 reviews posted on tourism social networks, we find that (1) prominence, uniqueness, a rich culture, convenience, and enormous influence are five dimensions of the Dunhuang Mogao Grottoes’ image; (2) these dimension keywords display different cooccurrence relationships; and (3) the dimension evolution trends vary in direction and degree. Our study enriches existing literature and provides important practical implications for the destination marketing field.
Funder
Science Foundation of Ministry of Education of China
the Fundamental Research Funds for the Central Universities
Subject
Tourism, Leisure and Hospitality Management