@revista_internacional{972,
  keywords = {decision analysis, Online reviews, Sentiment analysis, social network, Large-scale group decision-making},
  author = {Lun Guo and Jianming Zhan and Gang Kou and Luis Martínez},
  title = {A sentiment analysis and dual trust relationship-based approach to large-scale group decision-making for online reviews: A case study of China Eastern Airlines},
  abstract = {With the rapid development of e-commerce, more and more people are willing to post their reviews and opinions about the products they buy online. Therefore, the use of online review data for decision-making appears to be more practical and universal, and how to effectively use this kind of data to support large-scale group decision-making (LSGDM) is a worthy research direction. In this paper, we firstly use sentiment analysis to analyze online review data to derive the decision maker s (DM s) sentiment value, and apply the sentiment value to construct a social network based on a dual trust relationship, which considers both familiarity-based trust and similarity-based trust. Secondly, a directed Louvain clustering algorithm in light of dual trust relationships and a method for solving the DM s intra-group weights and the group s weights are proposed based on this network. A two-stage clustering based consensus model in light of dual trust relationships is then proposed, in which the DMs in the agreement cluster can communicate with other DMs outside of such a cluster and dynamically update the grouping using the clustering algorithm. Finally, the practicality and effectiveness of the LSGDM method proposed in this paper are verified through a real case.},
  year = {2024},
  journal = {Information Sciences},
  volume = {667},
  pages = {120515},
  issn = {0020-0255},
  url = {https://www.sciencedirect.com/science/article/pii/S0020025524004286},
  doi = {https://doi.org/10.1016/j.ins.2024.120515},
}