여행 사이트 리뷰를 활용한 관광지 만족도 요인 추출 및 평가Extraction of Satisfaction Factors and Evaluation of Tourist Attractions based on Travel Site Review Comments
- Other Titles
- Extraction of Satisfaction Factors and Evaluation of Tourist Attractions based on Travel Site Review Comments
- Authors
- 조수현; 김보섭; 박민식; 이기창; 강필성
- Issue Date
- 2017
- Publisher
- 대한산업공학회
- Keywords
- Sentiment Analysis; Latent Dirichlet Allocation; Regression; Elastic Net; Tour Evaluation
- Citation
- 대한산업공학회지, v.43, no.1, pp.62 - 71
- Indexed
- KCI
- Journal Title
- 대한산업공학회지
- Volume
- 43
- Number
- 1
- Start Page
- 62
- End Page
- 71
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/85185
- DOI
- 10.7232/JKIIE.2017.43.1.062
- ISSN
- 1225-0988
- 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.
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Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
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