Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions
| Autor: | Raquel Ureña, K. Samuylov, Juan Antonio Morente-Molinera, Enrique Herrera-Viedma, Gang Kou |
|---|---|
| Přispěvatelé: | Universidad de Granada = University of Granada (UGR), Southwestern University of Finance and Economics [Chengdu, China], Peoples Friendship University of Russia [RUDN University] (RUDN), De Montfort University [Leicester, United Kingdom] (DMU), King Abdulaziz University, Dupuis, Christine, University of Granada [Granada] |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Information Systems and Management
Computer science Process (engineering) [SDV]Life Sciences [q-bio] Consensus measures Group Decision Making 02 engineering and technology Social networks Management Information Systems Group decision making Sentiment analysis Artificial Intelligence 020204 information systems 0202 electrical engineering electronic engineering information engineering Disadvantage Structure (mathematical logic) Social network business.industry Ingroups and outgroups Data science Group decision-making [SDV] Life Sciences [q-bio] Social Networks 020201 artificial intelligence & image processing Pairwise comparison business Software |
| Zdroj: | Knowledge-Based Systems Knowledge-Based Systems, 2018, 165, pp.335-345. ⟨10.1016/j.knosys.2018.12.006⟩ Digibug. Repositorio Institucional de la Universidad de Granada instname Digibug: Repositorio Institucional de la Universidad de Granada Universidad de Granada (UGR) Knowledge-Based Systems, Elsevier, 2018, 165, pp.335-345. ⟨10.1016/j.knosys.2018.12.006⟩ |
| ISSN: | 0950-7051 1872-7409 |
| Popis: | Social networks are the most preferred mean for the people to communicate. Therefore, it is quite usual that experts use them to carry out Group Decision Making processes. One disadvantage that recent Group Decision Making methods have is that they do not allow the experts to use free text to express themselves. On the contrary, they force them to follow a specific user–computer communication structure. This is against social network nature where experts are free to express themselves using their preferred text structure. This paper presents a novel model for experts to carry out Group Decision Making processes using free text and alternatives pairwise comparisons. The main advantage of this method is that it is designed to work using social networks. Sentiment analysis procedures are used to analyze free texts and extract the preferences that the experts provide about the alternatives. Also, our method introduces two ways of applying consensus measures over the Group Decision Making process. They can be used to determine if the experts agree among them or if there are different postures. This way, it is possible to promote the debate in those cases where consensus is low. European Union (EU) TIN2016-75850-P |
| Databáze: | OpenAIRE |
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