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Exploring memorable gastronomic experiences: Automatic topic modelling of TripAdvisor reviews

dc.contributor.authorNowacki, Marek
dc.contributor.authorStasiak, Andrzej
dc.contributor.authorNiezgoda, Agnieszka
dc.date.accessioned2023-12-11T08:43:19Z
dc.date.available2023-12-11T08:43:19Z
dc.date.issued2023
dc.identifier.citationNowacki, M., Stasiak, A., & Niezgoda, A. (2023). Exploring memorable gastronomic experiences: Automatic topic modelling of TripAdvisor reviews. Geographia Polonica, 96(3), 381-399.pl_PL
dc.identifier.issn0016-7282
dc.identifier.urihttp://hdl.handle.net/11089/48692
dc.description.abstractThe article aims to identify memorable gastronomic experiences reported online and verify their relationships with the type of cuisine served and restaurant location. This study used text mining, LDA, Pearson’s chi-squared test and sentiment analysis. All 48,378 English reviews posted by TripAdvisor users concerning 155 restaurants in Krakow were scraped. Eight features that characterise MGEs were identified (service/staff, atmosphere, cuisine/food (taste), drinks, local specialities, location/setting, price & value and table booking). There are statistically significant differences in the frequency of the topic experiences depending on the location of restaurants in the city.pl_PL
dc.language.isoenpl_PL
dc.publisherInstitute of Geography and Spatial Organization Polish Academy of Sciencespl_PL
dc.relation.ispartofseriesGeographia Polonica;3
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Międzynarodowe*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectfood tourismpl_PL
dc.subjectculinary experiencespl_PL
dc.subjectKrakowpl_PL
dc.subjectrestaurant managementpl_PL
dc.subjectLatent Dirichlet Allocationpl_PL
dc.subjectsentiment analysispl_PL
dc.titleExploring memorable gastronomic experiences: Automatic topic modelling of TripAdvisor reviewspl_PL
dc.typeArticlepl_PL
dc.page.number381-399pl_PL
dc.contributor.authorAffiliationWSB Merito University in Poznańpl_PL
dc.contributor.authorAffiliationUniversity of Lodzpl_PL
dc.contributor.authorAffiliationPoznań University of Economics and Businesspl_PL
dc.identifier.eissn2300-7362
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dc.identifier.doi10.7163/GPol.0261
dc.relation.volume96pl_PL
dc.disciplinegeografia społeczno-ekonomiczna i gospodarka przestrzennapl_PL


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