Author, as appears in the article.: Jabreel, Mohammed; Maaroof, Najlaa; Valls, Aida; Moreno, Antonio
Department: Enginyeria Informàtica i Matemàtiques
e-ISSN: 2076-3417
URV's Author/s: Al-Ziyadi, Najlaa Maaroof Wahib / Moreno Ribas, Antonio / Valls Mateu, Aïda
Keywords: Sentiment analysis Opinion mining Multiple criteria decision aid Aspect-based sentiment analysis
Abstract: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. Nowadays, most decision processes rely not only on the preferences of the decision maker but also on the public opinions about the possible alternatives. The user preferences have been heavily taken into account in the multi-criteria decision making field. On the other hand, sentiment analysis is the field of natural language processing devoted to the development of systems that are capable of analysing reviews to obtain their polarity. However, there have not been many works up to now that integrate the results of this process with the analysis of the alternatives in a decision support system. SentiRank is a novel system that takes into account both the preferences of the decision maker and the public online reviews about the alternatives to be ranked. A new mechanism to integrate both aspects into the ranking process is proposed in this paper. The sentiments of the reviews with respect to different aspects are added to the decision support system as a set of additional criteria, and the ELECTRE methodology is used to rank the alternatives. The system has been implemented and tested with a restaurant data set. The experimental results confirm the appeal of adding the sentiment information from the reviews to the ranking process.
Thematic Areas: Química Process chemistry and technology Physics, applied Materials science, multidisciplinary Materials science (miscellaneous) Materials science (all) Materiais Instrumentation General materials science General engineering Fluid flow and transfer processes Engineering, multidisciplinary Engineering (miscellaneous) Engineering (all) Engenharias ii Engenharias i Computer science applications Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Chemistry, multidisciplinary Biodiversidade Astronomia / física
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: naglaa592011@gmail.com antonio.moreno@urv.cat aida.valls@urv.cat
Author identifier: 0000-0003-0614-5385 0000-0003-3945-2314 0000-0003-3616-7809
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/2076-3417/11/1/216
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Applied Sciences-Basel. 11 (1): 1-26
APA: Jabreel, Mohammed; Maaroof, Najlaa; Valls, Aida; Moreno, Antonio (2021). Introducing sentiment analysis of textual reviews in a multi-criteria decision aid system. Applied Sciences-Basel, 11(1), 1-26. DOI: 10.3390/app11010216
Article's DOI: 10.3390/app11010216
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Journal Publications
Repositori URV