IDEAS home Printed from https://ideas.repec.org/a/spr/elcore/v22y2022i4d10.1007_s10660-020-09446-9.html
   My bibliography  Save this article

Semantic model to extract tips from hotel reviews

Author

Listed:
  • Shivendra Kumar

    (Indian Institute of Technology (BHU))

  • C. Ravindranath Chowdary

    (Indian Institute of Technology (BHU))

Abstract

E-commerce is growing at a swift pace, and the related content on the web is exploding. This is due to the shift of a massive amount of sales and bookings to the online platform. A large number of customers now prefer e-commerce to buy products or online booking for stays. After their transactions, customers post their experiences in the form of text reviews. Further, a new customer usually goes through these reviews before making an online transaction. However, many of such reviews include less important and often redundant information. This work aims to generate short pieces of useful text (‘tip’) from the large number of reviews which portray not only the relevant and unique information but also the sentiment captured from the reviews. The main motivation to generate a set of tips is to enable new customers to differentiate between competing for similar businesses. Our Tip Extraction Algorithm builds upon the existing methods by including the sentiments captured from the reviews. The proposed algorithms also emphasize the number of reviews for similarity comparison, so that proper weight could be given to amenities or other reviews‘ content. Recommender systems do not consider most of the recent businesses due to the vastness of the number of reviews of well established businesses. We compare our proposed method with the state-of-the-art TipSelector Algorithm for hotel tip extraction, on hotel reviews obtained from the TripAdvisor website. The proposed method works well, even when the number of available reviews is very less. Experimental results show significant improvements over the current state-of-the-art.

Suggested Citation

  • Shivendra Kumar & C. Ravindranath Chowdary, 2022. "Semantic model to extract tips from hotel reviews," Electronic Commerce Research, Springer, vol. 22(4), pages 1059-1077, December.
    • Handle: RePEc:spr:elcore:v:22:y:2022:i:4:d:10.1007_s10660-020-09446-9
    DOI: 10.1007/s10660-020-09446-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10660-020-09446-9
    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/s10660-020-09446-9?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. V. Chvatal, 1979. "A Greedy Heuristic for the Set-Covering Problem," Mathematics of Operations Research, INFORMS, vol. 4(3), pages 233-235, August.
    2. Prabowo, Rudy & Thelwall, Mike, 2009. "Sentiment analysis: A combined approach," Journal of Informetrics, Elsevier, vol. 3(2), pages 143-157.
    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. Shuyue Huang & Lena Jingen Liang & Hwansuk Chris Choi, 2022. "How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    2. Davidov, Sreten & Pantoš, Miloš, 2017. "Planning of electric vehicle infrastructure based on charging reliability and quality of service," Energy, Elsevier, vol. 118(C), pages 1156-1167.
    3. Song, Zhe & Kusiak, Andrew, 2010. "Mining Pareto-optimal modules for delayed product differentiation," European Journal of Operational Research, Elsevier, vol. 201(1), pages 123-128, February.
    4. Seona Lee & Sang-Ho Lee & HyungJune Lee, 2020. "Timely directional data delivery to multiple destinations through relay population control in vehicular ad hoc network," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
    5. Zhuang, Yanling & Zhou, Yun & Yuan, Yufei & Hu, Xiangpei & Hassini, Elkafi, 2022. "Order picking optimization with rack-moving mobile robots and multiple workstations," European Journal of Operational Research, Elsevier, vol. 300(2), pages 527-544.
    6. Menghong Li & Yingli Ran & Zhao Zhang, 2022. "A primal-dual algorithm for the minimum power partial cover problem," Journal of Combinatorial Optimization, Springer, vol. 44(3), pages 1913-1923, October.
    7. Wang, Yiyuan & Pan, Shiwei & Al-Shihabi, Sameh & Zhou, Junping & Yang, Nan & Yin, Minghao, 2021. "An improved configuration checking-based algorithm for the unicost set covering problem," European Journal of Operational Research, Elsevier, vol. 294(2), pages 476-491.
    8. C Guéret & N Jussien & O Lhomme & C Pavageau & C Prins, 2003. "Loading aircraft for military operations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 458-465, May.
    9. Keisuke Murakami, 2018. "Iterative Column Generation Algorithm for Generalized Multi-Vehicle Covering Tour Problem," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(04), pages 1-22, August.
    10. Dongyue Liang & Zhao Zhang & Xianliang Liu & Wei Wang & Yaolin Jiang, 2016. "Approximation algorithms for minimum weight partial connected set cover problem," Journal of Combinatorial Optimization, Springer, vol. 31(2), pages 696-712, February.
    11. Abdullah Alshehri & Mahmoud Owais & Jayadev Gyani & Mishal H. Aljarbou & Saleh Alsulamy, 2023. "Residual Neural Networks for Origin–Destination Trip Matrix Estimation from Traffic Sensor Information," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    12. Yucel, Ahmet & Dag, Ali & Oztekin, Asil & Carpenter, Mark, 2022. "A novel text analytic methodology for classification of product and service reviews," Journal of Business Research, Elsevier, vol. 151(C), pages 287-297.
    13. Wedelin, Dag, 1995. "The design of a 0-1 integer optimizer and its application in the Carmen system," European Journal of Operational Research, Elsevier, vol. 87(3), pages 722-730, December.
    14. Victor Reyes & Ignacio Araya, 2021. "A GRASP-based scheme for the set covering problem," Operational Research, Springer, vol. 21(4), pages 2391-2408, December.
    15. Owais, Mahmoud & Moussa, Ghada S. & Hussain, Khaled F., 2019. "Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    16. Dan Garber, 2021. "Efficient Online Linear Optimization with Approximation Algorithms," Mathematics of Operations Research, INFORMS, vol. 46(1), pages 204-220, February.
    17. Manki Min & Oleg Prokopyev & Panos M. Pardalos, 2006. "Optimal solutions to minimum total energy broadcasting problem in wireless ad hoc networks," Journal of Combinatorial Optimization, Springer, vol. 11(1), pages 59-69, February.
    18. Manki Min & Panos M. Pardalos, 2007. "Total energy optimal multicasting in wireless ad hoc networks," Journal of Combinatorial Optimization, Springer, vol. 13(4), pages 365-378, May.
    19. Davidov, Sreten & Pantoš, Miloš, 2017. "Stochastic expansion planning of the electric-drive vehicle charging infrastructure," Energy, Elsevier, vol. 141(C), pages 189-201.
    20. Vazifeh, Mohammad M. & Zhang, Hongmou & Santi, Paolo & Ratti, Carlo, 2019. "Optimizing the deployment of electric vehicle charging stations using pervasive mobility data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 75-91.

    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:elcore:v:22:y:2022:i:4:d:10.1007_s10660-020-09446-9. 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.