Web Text Analysis of Image Perception of Tourist Destinations

Abstract

This study aims to analyze tourist perceptions of Jinan, China, as a travel destination using text analysis to create tourism products that attract visitors. In the context of the evolving social economy, tourism image plays a crucial role in market competitiveness. Leveraging the internet era, this research collects and analyzes tourist evaluation data from online platforms. Focused on Jinan City, the study employs a "cognitive-emotional" model to analyze online text, exploring tourists' cognitive, emotional, and overall perceptions of Jinan's tourism image. Findings reveal that Daming Lake and Baotu are key cognitive images, with tourists expressing high satisfaction with tourism resources, environment, and activities, reflecting positive emotions overall. The study identifies Jinan's overall image perception as "Spring City," characterized by positive sentiments. By clarifying the gap between tourists' perceptions and Jinan's tourism image positioning as "spring water + culture," the study offers strategies to enhance Jinan's tourism image and contribute to sustainable tourism development.