Articles producció científica> Geografia

A detailed method for destination image analysis using user-generated

  • Identification data

    Identifier: imarina:3657904
    Authors:
    Marine-Roig, Estela Clave, Salvador Anton
    Abstract:
    Social media and user-generated content (UGC) have revolutionized tourism and hospitality communication and are seen as rich sources of information for destination image analysis. Many articles have been published about travel-related UGC, in particular, quantitative and qualitative content analysis of travel blogs and online travel reviews (OTR). Researchers have typically analysed small samples of population-representative travel diaries (tens or hundreds of files), which allow for manual processing. However, the enormous growth of OTRs requires operationalization through computerized methods, and the aim of this article is to propose a detailed method for semi-automatic downloading, arrangement, cleaning, debugging, and analysis of large-scale travel blogs and OTR data. This enables the classification of collected webpages by dates and destinations and offline content analysis of the text as written by the tourist. More than 130,000 useful trip diaries of tourists who visited Catalonia between 2004 and 2014 have been gathered, and significant results have been obtained in terms of content analysis in relation to destination image.
  • Others:

    Author, as appears in the article.: Marine-Roig, Estela Clave, Salvador Anton
    Department: Geografia
    URV's Author/s: Anton Clavé, Salvador / MARINÉ ROIG, ESTELA
    Keywords: Web harvesting Web data mining Travel review Travel blog Online travel review Massive content analysis Content analysis Catalonia
    Abstract: Social media and user-generated content (UGC) have revolutionized tourism and hospitality communication and are seen as rich sources of information for destination image analysis. Many articles have been published about travel-related UGC, in particular, quantitative and qualitative content analysis of travel blogs and online travel reviews (OTR). Researchers have typically analysed small samples of population-representative travel diaries (tens or hundreds of files), which allow for manual processing. However, the enormous growth of OTRs requires operationalization through computerized methods, and the aim of this article is to propose a detailed method for semi-automatic downloading, arrangement, cleaning, debugging, and analysis of large-scale travel blogs and OTR data. This enables the classification of collected webpages by dates and destinations and offline content analysis of the text as written by the tourist. More than 130,000 useful trip diaries of tourists who visited Catalonia between 2004 and 2014 have been gathered, and significant results have been obtained in terms of content analysis in relation to destination image.
    Research group: GRATET. Anàlisi Territorial i Estudis Turístics
    Thematic Areas: Tourism, leisure and hospitality management Social sciences (miscellaneous) Information systems Hospitality, leisure, sport & tourism General computer science Computer science applications Computer science (miscellaneous) Ciencias sociales
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 10983058
    Author's mail: salvador.anton@urv.cat salvador.anton@urv.cat
    Author identifier: 0000-0001-9818-2778 0000-0001-9818-2778
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://link.springer.com/article/10.1007/s40558-015-0040-1
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Information Technology And Tourism. 15 (4): 341-364
    APA: Marine-Roig, Estela Clave, Salvador Anton (2016). A detailed method for destination image analysis using user-generated. Information Technology And Tourism, 15(4), 341-364. DOI: 10.1007/s40558-015-0040-1
    Article's DOI: 10.1007/s40558-015-0040-1
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2016
    Publication Type: Journal Publications
  • Keywords:

    Computer Science (Miscellaneous),Computer Science Applications,Hospitality, Leisure, Sport & Tourism,Information Systems,Social Sciences (Miscellaneous),Tourism, Leisure and Hospitality Management
    Web harvesting
    Web data mining
    Travel review
    Travel blog
    Online travel review
    Massive content analysis
    Content analysis
    Catalonia
    Tourism, leisure and hospitality management
    Social sciences (miscellaneous)
    Information systems
    Hospitality, leisure, sport & tourism
    General computer science
    Computer science applications
    Computer science (miscellaneous)
    Ciencias sociales
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