IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04039212.html
   My bibliography  Save this paper

Predicting A New Hotel Rating System by Analysing UGC Content from Tripadvisor: Machine Learning Application to Analyse Service Robots Influence

Author

Listed:
  • Jorge Calero-Sanz
  • Alicia Orea-Giner

    (URJC - Universidad Rey Juan Carlos = Rey Juan Carlos University, EIREST - Équipe interdisciplinaire de recherches sur le tourisme - UP1 - Université Paris 1 Panthéon-Sorbonne)

  • Teresa Villacé-Molinero
  • Ana Muñoz-Mazón
  • Laura Fuentes-Moraleda

Abstract

No abstract is available for this item.

Suggested Citation

  • Jorge Calero-Sanz & Alicia Orea-Giner & Teresa Villacé-Molinero & Ana Muñoz-Mazón & Laura Fuentes-Moraleda, 2022. "Predicting A New Hotel Rating System by Analysing UGC Content from Tripadvisor: Machine Learning Application to Analyse Service Robots Influence," Post-Print hal-04039212, HAL.
    • Handle: RePEc:hal:journl:hal-04039212
    DOI: 10.1016/j.procs.2022.01.307
    Note: View the original document on HAL open archive server: https://hal.science/hal-04039212
    as

    Download full text from publisher

    File URL: https://hal.science/hal-04039212/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.procs.2022.01.307?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hal:journl:hal-04039212. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.