IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v20y2018i1d10.1007_s40558-018-0121-z.html
   My bibliography  Save this article

A study on online travel reviews through intelligent data analysis

Author

Listed:
  • Michela Fazzolari

    (Institute of Informatics and Telematics, National Research Council)

  • Marinella Petrocchi

    (Institute of Informatics and Telematics, National Research Council)

Abstract

The purpose of this paper is to show the application of a set of intelligent data analysis techniques to about 7 million of online travel reviews, with the aim of automatically extracting useful information. The reviews, collected from two popular online tourism-related review platforms, are all those posted by reviewers about one specific Italian location, from 2010 to 2017. To carry out the study, the following methodology is applied: a preliminary statistical analysis is performed to acquire general knowledge about the datasets, such as the geographical distribution of reviewers, their activities, and a comparison among the time of visits and the average scores of the reviews. Then, Natural Language Processing techniques are applied to extract and compare the most frequent words used in the two platforms. Finally, an Association Rule Learning algorithm is applied, to extract preferred destinations for distinct groups of reviewers, by mining interesting associations among the countries of origin of the reviewers and the most frequent destinations visited. By elaborating the available data, it is possible to automatically disclose valuable information for consumers and providers. The information automatically extracted can be exploited, for example, to build a recommender system for customers or a market analysis tool for service providers.

Suggested Citation

  • Michela Fazzolari & Marinella Petrocchi, 2018. "A study on online travel reviews through intelligent data analysis," Information Technology & Tourism, Springer, vol. 20(1), pages 37-58, December.
    • Handle: RePEc:spr:infott:v:20:y:2018:i:1:d:10.1007_s40558-018-0121-z
    DOI: 10.1007/s40558-018-0121-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-018-0121-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40558-018-0121-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Versichele, Mathias & de Groote, Liesbeth & Claeys Bouuaert, Manuel & Neutens, Tijs & Moerman, Ingrid & Van de Weghe, Nico, 2014. "Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium," Tourism Management, Elsevier, vol. 44(C), pages 67-81.
    2. Marco Rossetti & Fabio Stella & Markus Zanker, 2016. "Analyzing user reviews in tourism with topic models," Information Technology & Tourism, Springer, vol. 16(1), pages 5-21, March.
    3. Suzanne Amaro & Paulo Duarte, 2017. "Social media use for travel purposes: a cross cultural comparison between Portugal and the UK," Information Technology & Tourism, Springer, vol. 17(2), pages 161-181, June.
    4. Aitor García-Pablos & Montse Cuadros & Maria Teresa Linaza, 2016. "Automatic analysis of textual hotel reviews," Information Technology & Tourism, Springer, vol. 16(1), pages 45-69, March.
    5. Elisabetta Raguseo & Claudio Vitari, 2017. "The Effect of Brand on the Impact of e-WOM on Hotels’ Financial Performance," Grenoble Ecole de Management (Post-Print) hal-02013751, HAL.
    6. Alain Yee Loong Chong & Eugene Ch’ng & Martin J. Liu & Boying Li, 2017. "Predicting consumer product demands via Big Data: the roles of online promotional marketing and online reviews," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5142-5156, September.
    7. Sparks, Beverley A. & Browning, Victoria, 2011. "The impact of online reviews on hotel booking intentions and perception of trust," Tourism Management, Elsevier, vol. 32(6), pages 1310-1323.
    8. Elisabetta Raguseo & Claudio Vitari, 2017. "The Effect of Brand on the Impact of e-WOM on Hotels’ Financial Performance," Post-Print halshs-01656399, HAL.
    9. Matthew Krawczyk & Zheng Xiang, 2016. "Perceptual mapping of hotel brands using online reviews: a text analytics approach," Information Technology & Tourism, Springer, vol. 16(1), pages 23-43, March.
    10. Jeff Alstott & Ed Bullmore & Dietmar Plenz, 2014. "powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-11, January.
    11. Xiang, Zheng & Gretzel, Ulrike, 2010. "Role of social media in online travel information search," Tourism Management, Elsevier, vol. 31(2), pages 179-188.
    12. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Stylos, Nikolaos, 2017. "‘You will like it!’ using open data to predict tourists' response to a tourist attraction," Tourism Management, Elsevier, vol. 60(C), pages 430-438.
    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. Xinxin Guo & Juho Pesonen & Raija Komppula, 2021. "Comparing online travel review platforms as destination image information agents," Information Technology & Tourism, Springer, vol. 23(2), pages 159-187, June.
    2. Arpan Kumar Kar & Sunil Kumar & P. Vigneswara Ilavarasan, 2021. "Modelling the Service Experience Encounters Using User-Generated Content: A Text Mining Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(4), pages 267-288, December.
    3. Işkın Merve & Prentice Catherine & Eker Nuray & Şengel Ümit, 2024. "Understanding the Effects of Reservation Systems and Online Transaction Capacity on the Competitiveness of Travel Agencies," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 14(1), pages 55-70.
    4. Min-Pei Lin & Estela Marine-Roig & Nayra Llonch-Molina, 2022. "Gastronomy Tourism and Well-Being: Evidence from Taiwan and Catalonia Michelin-Starred Restaurants," IJERPH, MDPI, vol. 19(5), pages 1-24, February.
    5. Archana Yadav & Biswajit Patra & Tanmay Basu, 2024. "Modeling International Tourist Arrivals: An NLP Perspective," SN Operations Research Forum, Springer, vol. 5(4), pages 1-19, December.
    6. Jian-Wu Bi & Tian-Yu Han & Yanbo Yao & Hui Li, 2022. "Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations," Information Technology & Tourism, Springer, vol. 24(1), pages 127-155, March.
    7. Georgia Yfantidou & Sofia Yfantidou & Dimitra Karanatsiou & Angelos Liontakis & Mairi Maniopoulou & Panagiota Balaska & Alkistis Papaioannou & Vassiliki Vassilopoulou, 2024. "Experience Economy Perspective on Recreational Fishing Tourism Travelers’ Reviews: A Data Science Approach," Tourism and Hospitality, MDPI, vol. 5(2), pages 1-27, April.
    8. Cristina Figueroa-Domecq & Jesús Palomo & Mª Dolores Flecha-Barrio & Mónica Segovia-Pérez, 2020. "Technology double gender gap in tourism business leadership," Information Technology & Tourism, Springer, vol. 22(1), pages 75-106, March.
    9. Ferreira Ana & Correia Marisol B. & Renda Ana Isabel, 2024. "Systematic Literature Review on the Profile of Tourists in Four- and Five-star Hotels Based on Online Reviews," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 14(1), pages 20-34.

    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. Manuel Rodríguez-Díaz & Raquel Alonso-González & Crina Isabel Rodríguez-Voltes & Ana Cristina Rodríguez-Voltes, 2019. "A Rating of the Online Reputation Balance in Lodgings," Administrative Sciences, MDPI, vol. 9(3), pages 1-18, August.
    2. Filieri, Raffaele & Lin, Zhibin & Pino, Giovanni & Alguezaui, Salma & Inversini, Alessandro, 2021. "The role of visual cues in eWOM on consumers’ behavioral intention and decisions," Journal of Business Research, Elsevier, vol. 135(C), pages 663-675.
    3. 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.
    4. 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.
    5. Juan Pedro Mellinas & Eva Martin-Fuentes, 2019. "Does hotel size matter to get more reviews per room?," Information Technology & Tourism, Springer, vol. 21(2), pages 165-180, June.
    6. Tao Liu & Ying Zhang & Huan Zhang & Xiping Yang, 2021. "A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    7. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    8. Sparks, Beverley A. & Perkins, Helen E. & Buckley, Ralf, 2013. "Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior," Tourism Management, Elsevier, vol. 39(C), pages 1-9.
    9. Sparks, Beverley A. & So, Kevin Kam Fung & Bradley, Graham L., 2016. "Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern," Tourism Management, Elsevier, vol. 53(C), pages 74-85.
    10. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    11. Suzanne Amaro & Paulo Duarte, 2017. "Social media use for travel purposes: a cross cultural comparison between Portugal and the UK," Information Technology & Tourism, Springer, vol. 17(2), pages 161-181, June.
    12. Vo Nga Thi & Chovancová Miloslava & Tri Ho Thanh, 2019. "A major boost to the website performance of up-scale hotels in Vietnam," Management & Marketing, Sciendo, vol. 14(1), pages 14-30, March.
    13. A Fronzetti Colladon & B Guardabascio & R Innarella, 2021. "Using social network and semantic analysis to analyze online travel forums and forecast tourism demand," Papers 2105.07727, arXiv.org.
    14. Koji Ishida & Lisa Slevitch & Katia Siamionava, 2016. "The Effects of Traditional and Electronic Word-of-Mouth on Destination Image: A Case of Vacation Tourists Visiting Branson, Missouri," Administrative Sciences, MDPI, vol. 6(4), pages 1-17, September.
    15. Estela Marine-Roig, 2017. "Measuring Destination Image through Travel Reviews in Search Engines," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    16. Caicedo-Barreth Alba & Pavón Enrique Santos & Santos Luís Lima, 2024. "Bibliometric Analysis of the Scientific Production in Cultural Tourism from 2010 to 2019 in Europe," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 14(1), pages 82-98.
    17. Li, Chunqing & Guo, Shuojia & Wang, ChengLu & Zhang, Jieli, 2019. "Veni, vidi, vici: The impact of social media on virtual acculturation in tourism context," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 513-522.
    18. Bronner, Fred & de Hoog, Robert, 2016. "Travel websites: Changing visits, evaluations and posts," Annals of Tourism Research, Elsevier, vol. 57(C), pages 94-112.
    19. Samuel Bates, 2021. "A Glance at Tourism Economics over the last decade [Coup d'œil sur l'Économie du Tourisme de la dernière décennie]," Post-Print hal-03263048, HAL.
    20. Zheng, Lili, 2021. "The classification of online consumer reviews: A systematic literature review and integrative framework," Journal of Business Research, Elsevier, vol. 135(C), pages 226-251.

    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:spr:infott:v:20:y:2018:i:1:d:10.1007_s40558-018-0121-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.