Using the Shenlong Gorge Scenic Area in Nanchuan as a case study,this research adopts a network text analysis approach to examine the current state of tourism service management within the scenic area.Through Python s...Using the Shenlong Gorge Scenic Area in Nanchuan as a case study,this research adopts a network text analysis approach to examine the current state of tourism service management within the scenic area.Through Python software,online review data from tourists on the Dianping platform was collected and analyzed using ROST CM 6 software,focusing on dimensions such as high-frequency words,social semantic networks,and tourist sentiments.The findings illuminate the present state of tourism service management in the Shenlong Gorge Scenic Area,providing critical theoretical support and practical guidance for the scenic area’s management authorities.Based on the analysis,an optimized pathway for tourism service management is proposed to facilitate the sustainable development of the Shenlong Gorge Scenic Area in Nanchuan,improve tourism service management,and enhance the quality of tourists’service experiences.展开更多
文摘Using the Shenlong Gorge Scenic Area in Nanchuan as a case study,this research adopts a network text analysis approach to examine the current state of tourism service management within the scenic area.Through Python software,online review data from tourists on the Dianping platform was collected and analyzed using ROST CM 6 software,focusing on dimensions such as high-frequency words,social semantic networks,and tourist sentiments.The findings illuminate the present state of tourism service management in the Shenlong Gorge Scenic Area,providing critical theoretical support and practical guidance for the scenic area’s management authorities.Based on the analysis,an optimized pathway for tourism service management is proposed to facilitate the sustainable development of the Shenlong Gorge Scenic Area in Nanchuan,improve tourism service management,and enhance the quality of tourists’service experiences.
