Research on the emotional experience of online tourists in Zhangjiajie based on text mining and LDA-FDEMATEL
- 1College of Tourism Management, Wuyi University, Wuyishan, Fujian, China
- 2National Tainan Junior College of Nursing, Tainan City, Taiwan
- 3School of Economics and Management, Sanming University, Sanming, Fujian, China
Abstract
Online travel platforms generate extensive user-generated content (UGC), yet the causal structure of tourists’ emotional experiences remains insufficiently understood. This study examines Zhangjiajie Scenic Area by integrating Latent Dirichlet Allocation (LDA) with fuzzy DEMATEL and DANP to extract emotional themes and identify their hierarchical relationships within a destination system. Results reveal a three-layer structure of emotional experience formation: an input layer (management systems, service processes, and vegetation landscapes), a contextual conditioning layer (water, mountain, architectural landscapes, and temporal regulation), and an outcome layer (visitor activities, perceptions, evaluations, and impressions). These layers interact through a transformation process that shapes how environmental stimuli are converted into emotional responses. The findings demonstrate that emotional experience is systemically constructed through hierarchical causal interactions rather than isolated attributes. The study provides a structured framework for tourism emotion analysis and offers evidence-based implications for emotion-oriented destination management in nature-based tourism contexts.
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BibTeX
@article{wu2026research,
title = {{Research on the emotional experience of online tourists in Zhangjiajie based on text mining and LDA-FDEMATEL}},
author = {Cheng-Ru Wu and Ming-Han Chiang and Bao-Hui Huang and Hung-Lung Lin and Yanran Huang},
journal = {PLOS One},
year = {2026},
month = oct,
doi = {10.1371/journal.pone.0355471},
url = {https://doi.org/10.1371/journal.pone.0355471},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Research on the emotional experience of online tourists in Zhangjiajie based on text mining and LDA-FDEMATEL
AU - Cheng-Ru Wu
AU - Ming-Han Chiang
AU - Bao-Hui Huang
AU - Hung-Lung Lin
AU - Yanran Huang
PY - 2026
DA - 2026/10/01
JO - PLOS One
DO - 10.1371/journal.pone.0355471
UR - https://doi.org/10.1371/journal.pone.0355471
AB - Online travel platforms generate extensive user-generated content (UGC), yet the causal structure of tourists’ emotional experiences remains insufficiently understood. This study examines Zhangjiajie Scenic Area by integrating Latent Dirichlet Allocation (LDA) with fuzzy DEMATEL and DANP to extract emotional themes and identify their hierarchical relationships within a destination system. Results reveal a three-layer structure of emotional experience formation: an input layer (management systems, service processes, and vegetation landscapes), a contextual conditioning layer (water, mountain, architectural landscapes, and temporal regulation), and an outcome layer (visitor activities, perceptions, evaluations, and impressions). These layers interact through a transformation process that shapes how environmental stimuli are converted into emotional responses. The findings demonstrate that emotional experience is systemically constructed through hierarchical causal interactions rather than isolated attributes. The study provides a structured framework for tourism emotion analysis and offers evidence-based implications for emotion-oriented destination management in nature-based tourism contexts.
SN - 1932-6203
ER -