Assessing Tourism Destination Image and Spatial Pattern using Opinion Mining Analysis

Abstract

Footprints of tourism activities from tourists are significantly increased in social medias with its maturity in recent years. More tourists use the platform of social media to present their travel records. Thus, the content of travel records include tourists’ mood during journey, comments of scenic spots visited, spatio-temporal information and other important information about tourists themselves. The data has accumulated a very large amount of information in the network environment for researchers to assess tourism destination image and spatial tourist pattern in specific tourist destinations. In this study, we used tourists’ opinions on the popular social media using opinion mining analysis to explore tourism destination image and spatial pattern of tourist behavior in the Yehliu Geopark in northern Taiwan. The results are helpful for park management to improve tourism marketing and management spatially.



Author Information
Chiung-Hsu Liu, Chinese Cultural University, Taiwan
Meng-Lung Lin, Aletheia University, Taiwan
Chien-Min Chu, Chinese Cultural University, Taiwan

Paper Information
Conference: ACBPP2015
Stream: Business Administration and Business Economics; Marketing; Accounting

This paper is part of the ACBPP2015 Conference Proceedings (View)
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