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Linking emotion and place on Twitter at Disneyland |
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| Authors: | Seunghyun “Brian” Park Hyung Jin Kim Chihyung “Michael” Ok |
| Affiliation: | 1. Division of Administration and Economics (Hospitality Management), St. John’s University, Queens, NY, USAparks2@stjohns.edu;3. Department of Landscape Architecture/Regional and Community Planning, Kansas State University, Manhattan, KS, USA;4. School of Tourism and Hospitality Management, Temple University, Philadelphia, PA, USA |
| Abstract: | ABSTRACTThis study suggests a research framework for social network analytics and demonstrates the process of integrating data and applying methodologies to understand visitor experiences at a destination. We applied both social media analytics and geographic information system (GIS) analysis to identify major topics and emotional expressions in a social network. A total of 56,418 tweets sent from Disneyland in California was used for analysis. The results identified three hot spots in the park where significantly pleasant tweets were posted. How to apply the research framework is discussed, and suggestions to researchers and marketers are given. |
| Keywords: | Social media analytics sentiment analysis geographic information system GIS hot spot analysis Disneyland |