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- W2892360688 abstract "Group discussions are usually aimed at sharing opinions, reaching consensus and making good decisions based on group knowledge. During a discussion, participants might adjust their own opinions as well as tune their attitudes towards others’ opinions, based on the unfolding interactions. In this paper, we demonstrate a framework to visualize such dynamics; at each instant of a conversation, the participants’ opinions and potential influence on their counterparts is easily visualized. We use multi-party meeting opinion mining based on bipartite graphs to extract opinions and calculate mutual influential factors, using the Lunar Survival Task as a study case." @default.
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- W2892360688 date "2018-01-01" @default.
- W2892360688 modified "2023-09-22" @default.
- W2892360688 title "Visualizing Group Dynamics based on Multiparty Meeting Understanding" @default.
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- W2892360688 doi "https://doi.org/10.18653/v1/d18-2017" @default.
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