Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/284534 
Year of Publication: 
2022
Citation: 
[Journal:] Wine Economics and Policy [ISSN:] 2212-9774 [Volume:] 11 [Issue:] 2 [Year:] 2022 [Pages:] 51-60
Publisher: 
Firenze University Press, Florence
Abstract: 
Purpose. The purpose of this study is to examine the internal consistency of wine guides by comparing the judgements of expert wine tasters and reviewers. A classification of wines is provided to establish whether expert reviews of similar wines are coherent. Design/methodology/approach. Sentiment analysis based on natural language processing techniques was used to compare quantitative and qualitative reviews between experts. In addition, a finite mixture model was used to classify wines into categories to analyse internal consistency between ratings. Findings. The results for a sample of more than 200,000 Wine Enthusiast ratings reveal significant differences between expert reviews. This finding indicates that there are no standard criteria for reviewing wines included in the guide. Originality. Wine guides are amongst the most widely used marketing resources in the wine industry. They provide a signal to consumers about the quality of wines, guiding their purchase decisions. They also influence the reputation of brands and the performance of companies producing these wines. The main contribution of this study is to propose a new way to compare the reviews of wine guide experts.
Subjects: 
reputation
wine
experts ratings
sentiment analysis
finite mixture model
wine guides
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size
371.12 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.