IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i16p6673-d400499.html
   My bibliography  Save this article

A Comparative Automated Text Analysis of Airbnb Reviews in Hong Kong and Singapore Using Latent Dirichlet Allocation

Author

Listed:
  • Kiattipoom Kiatkawsin

    (Tourism Industry Data Analytics Lab (TIDAL), Department of Hospitality and Tourism Management, Sejong University, Seoul 05006, Korea)

  • Ian Sutherland

    (Tourism Industry Data Analytics Lab (TIDAL), Department of Hospitality and Tourism Management, Sejong University, Seoul 05006, Korea)

  • Jin-Young Kim

    (Department of Hotel and Tourism Management, Dong Seoul University, Gyeonggi-do 13117, Korea)

Abstract

Airbnb has emerged as a platform where unique accommodation options can be found. Due to the uniqueness of each accommodation unit and host combination, each listing offers a one-of-a-kind experience. As consumers increasingly rely on text reviews of other customers, managers are also increasingly gaining insight from customer reviews. Thus, this present study aimed to extract those insights from reviews using latent Dirichlet allocation, an unsupervised type of topic modeling that extracts latent discussion topics from text data. Findings of Hong Kong’s 185,695 and Singapore’s 93,571 Airbnb reviews, two long-term rival destinations, were compared. Hong Kong produced 12 total topics that can be categorized into four distinct groups whereas Singapore’s optimal number of topics was only five. Topics produced from both destinations covered the same range of attributes, but Hong Kong’s 12 topics provide a greater degree of precision to formulate managerial recommendations. While many topics are similar to established hotel attributes, topics related to the host and listing management are unique to the Airbnb experience. The findings also revealed keywords used when evaluating the experience that provide more insight beyond typical numeric ratings.

Suggested Citation

  • Kiattipoom Kiatkawsin & Ian Sutherland & Jin-Young Kim, 2020. "A Comparative Automated Text Analysis of Airbnb Reviews in Hong Kong and Singapore Using Latent Dirichlet Allocation," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6673-:d:400499
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/16/6673/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/16/6673/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kiattipoom Kiatkawsin & Ian Sutherland & Seul Ki Lee, 2020. "Determinants of Smart Tourist Environmentally Responsible Behavior Using an Extended Norm-Activation Model," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    2. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    3. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    4. Ian Sutherland & Kiattipoom Kiatkawsin, 2020. "Determinants of Guest Experience in Airbnb: A Topic Modeling Approach Using LDA," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    5. Lutz, Christoph & Newlands, Gemma, 2018. "Consumer segmentation within the sharing economy: The case of Airbnb," Journal of Business Research, Elsevier, vol. 88(C), pages 187-196.
    6. Gutiérrez, Javier & García-Palomares, Juan Carlos & Romanillos, Gustavo & Salas-Olmedo, María Henar, 2017. "The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona," Tourism Management, Elsevier, vol. 62(C), pages 278-291.
    7. Dimitrios Buhalis & Aditya Amaranggana, 2015. "Smart Tourism Destinations Enhancing Tourism Experience Through Personalisation of Services," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 377-389, Springer.
    8. Xiaoting Chi & Seul Ki Lee & Young-joo Ahn & Kiattipoom Kiatkawsin, 2020. "Tourist-Perceived Quality and Loyalty Intentions towards Rural Tourism in China," Sustainability, MDPI, vol. 12(9), pages 1-18, April.
    9. Ian Sutherland & Youngseok Sim & Seul Ki Lee & Jaemun Byun & Kiattipoom Kiatkawsin, 2020. "Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation," Sustainability, MDPI, vol. 12(5), pages 1-15, February.
    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. Young-joo Ahn & Katie Bokyun Kim & Jin-young Kim, 2023. "Characteristics and Temporal Trends of Regional Tourism Along the Border Areas," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    2. Young-joo Ahn, 2021. "City Branding and Sustainable Destination Management," Sustainability, MDPI, vol. 14(1), pages 1-4, December.
    3. Ziye Shang & Jian Ming Luo, 2022. "Topic Modeling for Hiking Trail Online Reviews: Analysis of the Mutianyu Great Wall," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    4. Kiattipoom Kiatkawsin & Ngoc Anh Bui & Richard Hrankai & Kwangmin Jeong, 2021. "The Moderating Roles of Sensation Seeking and Worry among Nature-Based Adventure Tourists," IJERPH, MDPI, vol. 18(4), pages 1-18, 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. Ian Sutherland & Kiattipoom Kiatkawsin, 2020. "Determinants of Guest Experience in Airbnb: A Topic Modeling Approach Using LDA," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    2. Xin Zhang & Jiaming Liu & He Zhu & Zongcai Huang & Shuying Zhang & Ping Li, 2021. "A Comparative Study of Customer Perceptions of Urban and Rural Bed and Breakfasts in Beijing: An Analysis of Online Reviews," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    3. Zuo, Wenming & Bai, Weijing & Zhu, Wenfeng & He, Xinming & Qiu, Xinxin, 2022. "Changes in service quality of sharing accommodation: Evidence from airbnb," Technology in Society, Elsevier, vol. 71(C).
    4. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    5. 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.
    6. Giulia Contu & Claudio Conversano & Luca Frigau & Francesco Mola, 2020. "Identifying factors affecting the status of superhost: evidence from Sardinia and Sicily," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1633-1653, December.
    7. Ziye Shang & Jian Ming Luo, 2022. "Topic Modeling for Hiking Trail Online Reviews: Analysis of the Mutianyu Great Wall," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    8. Susan (Sixue) Jia, 2021. "Analyzing Restaurant Customers’ Evolution of Dining Patterns and Satisfaction during COVID-19 for Sustainable Business Insights," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    9. Dolnicar, Sara, 2019. "A review of research into paid online peer-to-peer accommodation," Annals of Tourism Research, Elsevier, vol. 75(C), pages 248-264.
    10. Akbari, Morteza & Foroudi, Pantea & Khodayari, Maryam & Zaman Fashami, Rahime & Shahabaldini parizi, Zahra & Shahriari, Elmira, 2022. "Sharing Your Assets: A Holistic Review of Sharing Economy," Journal of Business Research, Elsevier, vol. 140(C), pages 604-625.
    11. Lifeng He & Dongmei Han & Xiaohang Zhou & Zheng Qu, 2020. "The Voice of Drug Consumers: Online Textual Review Analysis Using Structural Topic Model," IJERPH, MDPI, vol. 17(10), pages 1-18, May.
    12. Salvador Garcia-Ayllon, 2018. "Urban Transformations as an Indicator of Unsustainability in the P2P Mass Tourism Phenomenon: The Airbnb Case in Spain through Three Case Studies," Sustainability, MDPI, vol. 10(8), pages 1-21, August.
    13. Young-joo Ahn & Katie Bokyun Kim & Jin-young Kim, 2023. "Characteristics and Temporal Trends of Regional Tourism Along the Border Areas," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    14. Kiattipoom Kiatkawsin & Ian Sutherland & Seul Ki Lee, 2020. "Determinants of Smart Tourist Environmentally Responsible Behavior Using an Extended Norm-Activation Model," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    15. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    16. Ntentas, Raphael, 2021. "Quantifying political populism and examining the link with economic insecurity: evidence from Greece," LSE Research Online Documents on Economics 112579, London School of Economics and Political Science, LSE Library.
    17. Wang, Binni & Wang, Pong & Tu, Yiliu, 2021. "Customer satisfaction service match and service quality-based blockchain cloud manufacturing," International Journal of Production Economics, Elsevier, vol. 240(C).
    18. 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.
    19. Lin, Annie E. & Young, Jimmy A. & Guarino, Jeannine E., 2022. "Mother-Daughter sexual abuse: An exploratory study of the experiences of survivors of MDSA using Reddit," Children and Youth Services Review, Elsevier, vol. 138(C).
    20. Jose María Martín‐Martín & María S. Ostos‐Rey & Jose A. Salinas‐Fernández, 2019. "Why Regulation Is Needed in Emerging Markets in the Tourism Sector," American Journal of Economics and Sociology, Wiley Blackwell, vol. 78(1), pages 225-254, January.

    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:12:y:2020:i:16:p:6673-:d:400499. 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.