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Title: Visualizing Group Dynamics based on Multiparty Meeting Understanding
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.  more » « less
Award ID(s):
1631674
PAR ID:
10107390
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
2018 Conference on Empirical Methods in Natural Language Processing
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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