User Comments as a Resource to Rank with Multiple Criteria: The Case of TripAdvisor Athens’s Restaurants
Authors: Papakyriakopoulos, Dimitrios 
Kartaloglou, Elissavet 
Novas, Dimitrios 
Griva, Anastasia 
Issue Date: 17-Aug-2023
Book: Multicriteria Decision Aid and Resource Management: Recent Research, Methods and Applications 
Keywords: Fuzzy numbers, Multi-criteria analysis, Ranking, Restaurants, Text mining, TripAdvisor
Abstract: 
User-generated content is used to evaluate products and services and tourism industry has been one of the most influenced, due to the existence of vast amount of user-generated data, which is an important resource to foster ranking mechanisms. Though, almost all the online travel platforms (e.g., TripAdvisor, Yelp, Expedia) do not reveal enough details regarding how they valuate/rank hotels, flights, restaurants, etc. The objective of this work is to propose a preliminary ranking mechanism, which relies on the qualitative characteristics of the comments by incorporating Latent Dirichlet Allocation and multi-criteria decision-making. We empirically study the ranking mechanism using TripAdvisor’s user comments on restaurants located in Athens, Greece. The results are evaluated using a simple quantitative ranking scheme and we conclude by considering the theoretical contributions and practical implications and further developments of the proposed ranking approach.
ISBN: 978-3-031-34892-1
DOI: 10.1007/978-3-031-34892-1_8
URI: https://uniwacris.uniwa.gr/handle/3000/2146
Type: Book Chapter
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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