Summary of Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System, by Adilet Yerkin et al.
Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System
by Adilet Yerkin, Pakizar Shamoi, Elnara Kadyrgali
First submitted to arxiv on: 21 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel multi-criteria fuzzy Group Decision-Making (GDM) system is introduced, which leverages natural language processing (NLP) to analyze sentiments and emotions expressed in textual data. This system enables the consideration of participant opinions beyond explicit numerical preference inputs, improving consensus-reaching effectiveness in group settings. The proposed system aggregates individual preferences into a collective preference matrix, then utilizes fuzzy inference to generate an overall score. Experimental results demonstrate improved consensus among participants when sentiment and emotion analysis are integrated into GDM systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In this research, scientists created a new tool to help groups make decisions together. They used special computer programs to understand the feelings and opinions people express when talking about different options. This helps everyone’s voice be heard during discussions and makes it easier for groups to agree on a choice. The team tested their system with a group of friends deciding where to stay on vacation, and they found that considering emotions and opinions leads to better outcomes. |
Keywords
» Artificial intelligence » Inference » Natural language processing » Nlp
