Yuyan Zhong

School of Tourism and Landscape Architecture, Guilin University of Technology

Abstract：

This study examines the Li River Scenic Area in Guilin as its research subject, employing web text analysis methods to systematically investigate the current state, existing issues, and optimization pathways for its smart tourism development. By collecting visitor review data from the Ctrip platform between 2023 and 2024, this research comprehensively utilizes methods such as word frequency statistics, semantic network analysis, and sentiment analysis to conduct a multidimensional analysis of visitor perceptions and smart service experiences. Findings reveal that visitors predominantly express positive sentiments toward the Li River Scenic Area, particularly praising its natural landscape value and the convenience of smart navigation services. High-frequency terms and semantic networks indicate that "Li River," "Guilin," "mountains and waters," "cruise boats," and "services" form the core nodes of visitor perceptions. However, current smart tourism development still faces challenges such as uneven coverage of information infrastructure, homogenization of service content, and insufficient data sharing and management coordination. Accordingly, this paper proposes systematic strategies across four dimensions—facility upgrades, service innovation, data integration, and management optimization—to advance the Li River scenic area's smart tourism toward greater efficiency, personalization, and sustainability. These strategies also provide theoretical references and practical insights for similar scenic areas pursuing smart development.

Key Words：

smart tourism; Li River scenic area; web text analysis; tourist perception; development pathways