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http://dx.doi.org/10.7232/JKIIE.2017.43.1.062

Extraction of Satisfaction Factors and Evaluation of Tourist Attractions based on Travel Site Review Comments  

Cho, Suhyoun (School of Industrial Management Engineering, Korea University)
Kim, Boseop (School of Industrial Management Engineering, Korea University)
Park, Minsik (School of Industrial Management Engineering, Korea University)
Lee, Gichang (School of Industrial Management Engineering, Korea University)
Kang, Pilsung (School of Industrial Management Engineering, Korea University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.43, no.1, 2017 , pp. 62-71 More about this Journal
Abstract
In order to attract foreign tourists, it is important to understand what factors on domestic tour spots are critically considered and how they are evaluated after visit. However, most of the researches on tour business have collected information from tourists through survey on a small number of tourists, which leads to inaccurate and biased conclusion. In this paper, we suggest a data-driven methodology to figure out tourists' satisfaction factors and estimate sentiment scores on them. To do so, we collected review comments data from popular web site. Latent dirichlet allocation is employed to extract key factors and elastic net is used to estimate sentiment scores. Then, an aggregated evaluation score is generated by combining the factors and the sentiment scores per topics. Our proposed method can be used to recommend travel schedules with themes and discover new spots.
Keywords
Sentiment Analysis; Latent Dirichlet Allocation; Regression; Elastic Net; Tour Evaluation;
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Times Cited By KSCI : 1  (Citation Analysis)
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