Authors: Haiqin Zhang*, East China Normal University, School of Geography Sciences
Topics: Geographic Information Science and Systems
Keywords: big data,spatial and temporal distribution, Shanghai Disney,emotional mining, web crawler
Session Type: Paper
Start / End Time: 5:00 PM / 6:40 PM
Room: Congressional A, Omni, West
Presentation File: No File Uploaded
This paper first analyzes the spatial and temporal distribution of Shanghai Disney tourists through Baidu Index, and finds that the peak period of Shanghai Disney Resort is from June to August, and the domestic tourist source market has obvious three-level "circle enclave" spatial structure with Shanghai as the core. In this paper, the social networking website of tourism portal with high popularity in China is used as the data source, and the web crawler technology is used to capture tourists' comments data. With the help of association rule model to discover the behavior rules of tourists, and explores the necessary conditions of popular projects in scenic spots. Taking HowNet dictionary as the emotional lexicon, this paper uses natural language processing technology to quantify the emotional of text data, analyzes the emotional tendency of Shanghai Disney from six aspects, including browsing, entertainment, shopping, catering, accommodation and transportation, and generates the spatial distribution map of emotional tendency through data visualization technology. Finally, the spatiotemporal distribution and emotional analysis results are transformed into useful intuitive information for tourists and tourism industry. The research shows that tourists' emotional evaluation of the scenic spot is rich and positive, among which the favorable comments are mainly focused on entertainment, while the bad comments are mainly caused by service and price. At the end of the paper, the suggestions of strengthening service management, improving project layout design, enriching catering types and reasonably adjusting prices are of reference significance for Shanghai Disney to optimize its tourism services.