IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8167-d598756.html
   My bibliography  Save this article

Unveiling Island Tourism in Cape Verde through Online Reviews

Author

Listed:
  • Cristina Oliveira

    (Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, 1649-026 Lisboa, Portugal)

  • Paulo Rita

    (NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, 1070-312 Lisboa, Portugal)

  • Sérgio Moro

    (Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, 1649-026 Lisboa, Portugal)

Abstract

This paper is focused on research addressing a large quantity of data extracted from online reviews written by tourists visiting islands. These were extracted from TripAdvisor regarding island tourist destinations since there is a gap in the scientific literature using this approach on island tourism. The Islands of the Sun, Boa Vista and Sal, of Cape Verde, a Small Island Developing State (SIDS), were the targets of this investigation. After applying text mining to a large dataset, results are discussed, including from the perspectives of hotels, restaurants, and tourist attractions. For example, the beach is the main tourist attraction in both islands, but whereas in Boa Vista, tours on quad bikes constitute a major tourist activity, its equivalent in Sal is actually diving. The location of hotels near the beach is a big plus for tourists who also emphasize their human interaction with staff members in both hotels and restaurants.

Suggested Citation

  • Cristina Oliveira & Paulo Rita & Sérgio Moro, 2021. "Unveiling Island Tourism in Cape Verde through Online Reviews," Sustainability, MDPI, vol. 13(15), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8167-:d:598756
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8167/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/15/8167/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. María Santana-Gallego & Francisco Ledesma-Rodríguez & Jorge V. Pérez-Rodríguez, 2011. "Tourism and Trade in Small Island Regions: The Case of the Canary Islands," Tourism Economics, , vol. 17(1), pages 107-125, February.
    2. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    3. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    4. Pratt, Stephen, 2015. "The economic impact of tourism in SIDS," Annals of Tourism Research, Elsevier, vol. 52(C), pages 148-160.
    5. Moro, Sérgio & Rita, Paulo & Cortez, Paulo, 2017. "A text mining approach to analyzing Annals literature," Annals of Tourism Research, Elsevier, vol. 66(C), pages 208-210.
    6. Ana Isabel Moniz, 2012. "A Dynamic Analysis of Repeat Visitors," Tourism Economics, , vol. 18(3), pages 505-517, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ariana Furtado & Ricardo F. Ramos & Bruno Maia & Joana Martinho Costa, 2022. "Predictors of Hotel Clients’ Satisfaction in the Cape Verde Islands," Sustainability, MDPI, vol. 14(5), pages 1-13, February.

    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. Niccolò Comerio & Fernanda Strozzi, 2019. "Tourism and its economic impact: A literature review using bibliometric tools," Tourism Economics, , vol. 25(1), pages 109-131, February.
    2. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    3. Sandra Wankmüller, 2023. "A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis," Journal of Computational Social Science, Springer, vol. 6(1), pages 91-163, April.
    4. Paolo E. Giordani & Francesco Rullani, 2020. "The Digital Revolution and COVID-19," Working Papers 06, Department of Management, Università Ca' Foscari Venezia.
    5. Juan Brida & Marta Disegna & Raffaele Scuderi, 2014. "The behaviour of repeat visitors to museums: review and empirical findings," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2817-2840, September.
    6. Arsenyan, Jbid & Mirowska, Agata & Piepenbrink, Anke, 2023. "Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    7. Hong Joo Lee & Hoyeon Oh, 2020. "A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
    8. Maksym Polyakov & Morteza Chalak & Md. Sayed Iftekhar & Ram Pandit & Sorada Tapsuwan & Fan Zhang & Chunbo Ma, 2018. "Authorship, Collaboration, Topics, and Research Gaps in Environmental and Resource Economics 1991–2015," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 217-239, September.
    9. Stefano Sbalchiero & Maciej Eder, 2020. "Topic modeling, long texts and the best number of topics. Some Problems and solutions," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1095-1108, August.
    10. Martin Baumgaertner & Johannes Zahner, 2021. "Whatever it takes to understand a central banker - Embedding their words using neural networks," MAGKS Papers on Economics 202130, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    11. Carmela Iorio & Giuseppe Pandolfo & Antonio D’Ambrosio & Roberta Siciliano, 2020. "Mining big data in tourism," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1655-1669, December.
    12. Luiz Carlos De Santana Ribeiro & Emerson Olivier Vieira Da Silva & José Roberto De Lima Andrade & Kênia Barreiro De Souza, 2017. "Tourism and regional development in the Brazilian Northeast," Tourism Economics, , vol. 23(3), pages 717-727, May.
    13. Moro, Sérgio & Lopes, Rui J. & Esmerado, Joaquim & Botelho, Miguel, 2020. "Service quality in airport hotel chains through the lens of online reviewers," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    14. Daoud, Adel & Kohl, Sebastian, 2016. "How much do sociologists write about economic topics? Using big data to test some conventional views in economic sociology, 1890 to 2014," MPIfG Discussion Paper 16/7, Max Planck Institute for the Study of Societies.
    15. Shr-Wei Kao & Pin Luarn, 2020. "Topic Modeling Analysis of Social Enterprises: Twitter Evidence," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    16. Jorge Moll-de-Alba & Lluís Prats & Lluís Coromina, 2016. "The need to adapt to travel expenditure patterns. A study comparing business and leisure tourists in Barcelona," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 253-267, August.
    17. Josef Zelenka & Tracy Azubuike & Martina Pásková, 2021. "Trust Model for Online Reviews of Tourism Services and Evaluation of Destinations," Administrative Sciences, MDPI, vol. 11(2), pages 1-21, March.
    18. Sunyoung Hlee & Hanna Lee & Chulmo Koo, 2018. "Hospitality and Tourism Online Review Research: A Systematic Analysis and Heuristic-Systematic Model," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
    19. Hsia-Ching Chang, 2016. "The Synergy of Scientometric Analysis and Knowledge Mapping with Topic Models: Modelling the Development Trajectories of Information Security and Cyber-Security Research," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-33, December.
    20. Yani Wang & Jun Wang & Tang Yao, 2019. "What makes a helpful online review? A meta-analysis of review characteristics," Electronic Commerce Research, Springer, vol. 19(2), pages 257-284, June.

    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:gam:jsusta:v:13:y:2021:i:15:p:8167-:d:598756. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.