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

여행 사이트 리뷰를 활용한 관광지 만족도 요인 추출 및 평가

  • 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)
  • 조수현 (고려대학교 산업경영공학부) ;
  • 김보섭 (고려대학교 산업경영공학부) ;
  • 박민식 (고려대학교 산업경영공학부) ;
  • 이기창 (고려대학교 산업경영공학부) ;
  • 강필성 (고려대학교 산업경영공학부)
  • Received : 2017.01.09
  • Accepted : 2017.02.02
  • Published : 2017.02.15

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

References

  1. Archer, B. and Fletcher, J. (1996), The economic impact of tourism in the Seychelles, Annals of tourism research, 23(1), 32-47. https://doi.org/10.1016/0160-7383(95)00041-0
  2. Blei, D. M. (2012), Probabilistic topic models, Communications of the ACM, 55(4), 77-84. https://doi.org/10.1145/2133806.2133826
  3. Blei, D. M., Ng, A. Y., and Jordan, M. I. (2003), Latent dirichlet allocation, Journal of machine Learning research, 3(Jan), 993-1022.
  4. Hu, M. and Liu, B. (2004), Mining and summarizing customer reviews, In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, WA, USA.
  5. Jee, B.-G., Lee, G.-H., and Kim, T.-G. (1999), Economy impact of tourism industry in Korea-Input/output analysis, The Journal of the Korea Contents Association, 11(12), 884-892. https://doi.org/10.5392/JKCA.2011.11.12.884
  6. Jiang, W. (2015), A study on the satisfaction factors for foreign tourism services, Master's Thesis, Kookmin University.
  7. Joachims, T. (1999), Making large scale support vector machine learning practical, Advances in kernel methods, 169-184.
  8. Kim, B. M. (2007), A study on foreign residents' satisfaction with the tourism services, Master's Thesis, Hanyang University.
  9. Kim, J. H. (1995), A study on reliability analysis of questionnaire items, Master's Thesis, Jeonju University.
  10. Kim, S. B., Kwon, S. J., and Kim, J. T. (2015), Building sentiment dictionary and polarity classification of blog review By using elastic net, In Proceedings of the 2015 Winter Conference of Korean Institute of Information Scientists and Engineers, Pyeongchang, Korea.
  11. Liu, B. (2012), Sentiment analysis and opinion mining, Synthesis lectures on human language technologies, 5(1), 1-167. https://doi.org/10.2200/S00416ED1V01Y201204HLT016
  12. Ministry of Culture, Sports, and Tourism (2016), 2015 International Visitor Survey, Ministry of Culture, Sports, and Tourism, Korea.
  13. Pang, B. and Lee, L. (2008), Opinion mining and sentiment analysis, Foundations and Trends in Information Retrieval, 2(1-2), 1-135. https://doi.org/10.1561/1500000011
  14. Pang, B., Lee, L., and Vaithyanathan, S. (2002), Thumbs up? : sentiment classification using machine learning techniques, In Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing, Stroudsburg, PA, USA.
  15. Ryu, K.-H. (2003), The method for estimating socioeconomic impacts of tourism industry in Korea, Research Report, Korean Culture and Tourism Institute.
  16. Taboada, M., Brooke, J., Tofiloski, M., Voll, K., and Stede, M. (2011), Lexicon-based methods for sentiment analysis, Computational linguistics, 37(2), 267-307. https://doi.org/10.1162/COLI_a_00049
  17. Zou, H. and Hastie, T. (2005), Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society : Series B (Statistical Methodology), 67(2), 301-320. https://doi.org/10.1111/j.1467-9868.2005.00503.x
  18. Gargano, R. and Grasso, F. (2016), Analysis of the Factor that Affect Tourist Satisfaction : A Case Study on "The Most Beautiful Sicilian Borghi."
  19. Hui, T. K., Wan, D., and Ho, A. (2007), Tourists' satisfaction, recommendation and revisiting Singapore, Tourism management, 28(4), 965-975. https://doi.org/10.1016/j.tourman.2006.08.008