Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions
Juan Antonio Morente-Molinera,Gang Kou,K. Samuylov,Raquel Ureña,Enrique Herrera-Viedma,Enrique Herrera-Viedma +5 more
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TLDR
This paper presents a novel model for experts to carry out Group Decision Making processes using free text and alternatives pairwise comparisons and introduces two ways of applying consensus measures over the Group decision Making process.Abstract:
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.read more
Citations
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Journal ArticleDOI
Multi-Level Fine-Scaled Sentiment Sensing with Ambivalence Handling
TL;DR: A large number of students believe that social media should be considered as a medium for classroom instruction, not as a standalone source of information for curriculum vitae.
Journal ArticleDOI
SACPC: A framework based on probabilistic linguistic terms for short text sentiment analysis
TL;DR: A novel text representation model named Word2PLTS is proposed for short text sentiment analysis by introducing probabilistic linguistic terms sets (PLTSs) and the relevant theory and a novel sentiment analysis and polarity classification framework named SACPC is obtained.
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Multi-Criteria Evaluation and Benchmarking for Active Queue Management Methods: Open Issues, Challenges and Recommended Pathway Solutions
TL;DR: Multi-criteria decision-making using multiple criteria, such as performance, processing overhead and configuration, can be used to benchmark numerous AQM methods to determine solutions for future directions.
Posted Content
The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools
TL;DR: In this article, the authors provide an up-to-date literature review of the state of the art on social network analysis (SNA), and propose a set of new metrics based on four essential features (or dimensions) in SNA.
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Fuzzy logic applied to opinion mining: A review
TL;DR: This survey presents a rigorous review of the different applications of fuzzy logic in opinion mining and summarizes over one hundred and twenty articles published in the past decade regarding tasks and applications of opinion mining.
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