IDEAS home Printed from https://ideas.repec.org/a/inm/orserv/v9y2017i4p315-323.html
   My bibliography  Save this article

Exploring Online Travel Reviews Using Data Analytics: An Exploratory Study

Author

Listed:
  • Vera L. Miguéis

    (Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal)

  • Henriqueta Nóvoa

    (Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal)

Abstract

The information provided by online traveler reviews is becoming a key element in the decision-making process of hotel customers, reducing the uncertainty and the perceived risk of a traveler. Therefore, a careful analysis of the content provided by online customers’ reviews might give invaluable information concerning the key determinants, from a user’s perspective, of the quality of the service provided, justifying the attributed service rating. The objectives of this study are twofold: (1) use text-mining techniques to analyze the user’s generated content automatically collected from hotels in Porto in a certain period of time and, from this analysis, derive the most frequent terms used to describe the service; (2) understand whether it is possible to predict the aggregated rating assigned by reviewers based on the terms used and, at the same time, identify the terms showing high predictive capacity. Our study attempts to support hotel service managers in achieving their strategic and tactical goals by using innovative text- and data-mining tools to explore the wealth of information provided by user generated content in an easy and timely way.

Suggested Citation

  • Vera L. Miguéis & Henriqueta Nóvoa, 2017. "Exploring Online Travel Reviews Using Data Analytics: An Exploratory Study," Service Science, INFORMS, vol. 9(4), pages 315-323, December.
  • Handle: RePEc:inm:orserv:v:9:y:2017:i:4:p:315-323
    DOI: 10.1287/serv.2017.0189
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/serv.2017.0189
    Download Restriction: no

    File URL: https://libkey.io/10.1287/serv.2017.0189?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Shawn Mankad & Hyunjeong Spring Han & Joel Goh & Srinagesh Gavirneni, 2016. "Understanding Online Hotel Reviews Through Automated Text Analysis," Post-Print hal-02311939, HAL.
    2. Mr. Paolo Mauro, 1996. "The Effects of Corruption on Growth, Investment, and Government Expenditure," IMF Working Papers 1996/098, International Monetary Fund.
    3. Wang, Xia & Li, Xiang (Robert) & Zhen, Feng & Zhang, JinHe, 2016. "How smart is your tourist attraction?: Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach," Tourism Management, Elsevier, vol. 54(C), pages 309-320.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yi Yang & Kunpeng Zhang & Yangyang Fan, 2023. "sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics," Information Systems Research, INFORMS, vol. 34(1), pages 137-156, March.
    2. Yamamura, Eiji & Andrés, Antonio R., 2011. "Does corruption affect suicide? Empirical evidence from OECD countries," MPRA Paper 31622, University Library of Munich, Germany.
    3. Martinez-Vazquez, Jorge & McNab, Robert M., 2003. "Fiscal Decentralization and Economic Growth," World Development, Elsevier, vol. 31(9), pages 1597-1616, September.
    4. Brunetti, Aymo & Weder, Beatrice, 2003. "A free press is bad news for corruption," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1801-1824, August.
    5. Kim, Kun & Park, Oun-joung & Yun, Seunghyun & Yun, Haejung, 2017. "What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 362-369.
    6. Bahram Zikirya & Chunshan Zhou, 2023. "Spatial Distribution and Influencing Factors of High-Level Tourist Attractions in China: A Case Study of 9296 A-Level Tourist Attractions," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    7. Inna Cabelkova & Jan Hanousek, 2004. "The power of negative thinking: corruption, perception and willingness to bribe in Ukraine," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 383-397.
    8. Hugo Padrón-Ávila & Raúl Hernández-Martín, 2019. "Preventing Overtourism by Identifying the Determinants of Tourists’ Choice of Attractions," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    9. Kramat Hussain & Huaping Sun & Muhammad Ramzan & Shahid Mahmood & Muhammad Zubair Saeed, 2024. "Interpretive Structural Modeling of Barriers to Sustainable Tourism Development: A Developing Economy Perspective," Sustainability, MDPI, vol. 16(13), pages 1-32, June.
    10. Abuzayed, Bana & Ben Ammar, Mouldi & Molyneux, Philip & Al-Fayoumi, Nedal, 2024. "Corruption, lending and bank performance," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 802-830.
    11. Keith Blackburn & Niloy Bose & M. Emranul Haque, 2011. "Public Expenditures, Bureaucratic Corruption And Economic Development," Manchester School, University of Manchester, vol. 79(3), pages 405-428, June.
    12. Assumpció Huertas & Antonio Moreno & Jordi Pascual, 2021. "Place Branding for Smart Cities and Smart Tourism Destinations: Do They Communicate Their Smartness?," Sustainability, MDPI, vol. 13(19), pages 1-18, October.
    13. David De La Croix & Clara Delavallade, 2011. "Democracy, Rule of Law, Corruption Incentives, and Growth," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 13(2), pages 155-187, April.
    14. M.Rosaria Alfano & A. Laura Baraldi, 2008. "The design of electoral rules and their impact on economic growth: the Italian case," Working Papers 3_2008, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    15. Inessa Tyan & Mariemma I. Yagüe & Antonio Guevara-Plaza, 2020. "Blockchain Technology for Smart Tourism Destinations," Sustainability, MDPI, vol. 12(22), pages 1-11, November.
    16. Bah, El-hadj & Fang, Lei, 2015. "Impact of the business environment on output and productivity in Africa," Journal of Development Economics, Elsevier, vol. 114(C), pages 159-171.
    17. Himanshu Sharma & Abhishek Tandon & P. K. Kapur & Anu G. Aggarwal, 2019. "Ranking hotels using aspect ratings based sentiment classification and interval-valued neutrosophic TOPSIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 973-983, October.
    18. Tarhan, Simge, 2008. "Public Investment and Corruption in an Endogenous Growth Model," MPRA Paper 21319, University Library of Munich, Germany, revised 11 Mar 2010.
    19. Jeffrey Milyo & Adriana Cordis, 2013. "Measuring Public Corruption in the United States: Evidence from Administrative Records of Federal Prosecutions," Working Papers 1322, Department of Economics, University of Missouri.
    20. Francisco E. Cabrera & Manuel Amaya & Gustavo Fabián Vaccaro Witt & José Ignacio Peláez, 2019. "Pairwise Voting to Rank Touristic Destinations Based on Preference Valuation," Sustainability, MDPI, vol. 11(21), pages 1-13, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orserv:v:9:y:2017:i:4:p:315-323. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.