Analyse de l’expérience de la destination à travers les avis en ligne sur Trip Advisor: une application à la Tunisie

Leila Sethom, Nathalie Fleck () and Alice Crepin
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Leila Sethom: Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres
Nathalie Fleck: ARGUMans - Laboratoire de recherche en gestion Le Mans Université - UM - Le Mans Université
Alice Crepin: DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique

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Abstract: This paper aims to analyze the evaluation of destination experience through the brand experience framework of Brakus and colleagues (2009). To do so, we are conducting a quantitative study via Natural Language Processing (NLP) on the TripAdvisor online reviews of travelers commenting their experiences in Tunisian tourist regions. Identifying the dimensions of the experience first raises the question of selecting an appropriate content analysis tool. Thus, we compare a manual content coding to an automatic one via the Linguistic Inquiry and Word Count reference dictionary (LIWC, Tausczik & Pennebaker, 2010). The results show that manual coding is richer and more thorough, and thus achieves significant effects

Keywords: expérience de la destination; bouche à oreille électronique; traitement naturel du langage (NLP); codage manuel versus automatique; LIWC (search for similar items in EconPapers)
Date: 2022-05
New Economics Papers: this item is included in nep-ara
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Published in Congrès International de l’AFM, May 2022, Tunis, Tunisie. pp.11

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