Towards a Visual Analytics System for Emotion Trajectories in Multiparty Conversations

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dc.contributor.authorHuang, Zeyangen_US
dc.contributor.authorKucher, Kostiantynen_US
dc.contributor.authorKerren, Andreasen_US
dc.contributor.editorKucher, Kostiantynen_US
dc.contributor.editorDiehl, Alexandraen_US
dc.contributor.editorGillmann, Christinaen_US
dc.date.accessioned2024-05-21T08:45:50Z
dc.date.available2024-05-21T08:45:50Z
dc.date.issued2024
dc.description.abstractVisualizing sentiments in textual data has received growing interest; however, representing emotions within interlocutor relationships and associating them with the temporal progression of dialogues remains challenging. In this poster abstract, we describe the ongoing work on a visual analytics tool designed for analyzing emotion trajectories within dialogue collections composed of utterances from multiple speakers. The proposed tool provides exploration at different levels of detail to complex multigraphs, where edges represent direct responses between speakers through their utterances. Our approach includes several selection strategies for connecting different views: summaries of emotion transitions across dialogue groups, detailed analyses of individual utterances within specific dialogues of interest in interlocutor networks, and close reading. The tool aims to support model development in natural language processing by allowing users to explore text corpora interactively.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2024 - Posters
dc.identifier.doi10.2312/evp.20241092
dc.identifier.isbn978-3-03868-258-5
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/evp.20241092
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/evp20241092
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing→Visual analytics
dc.subjectHuman centered computing→Visual analytics
dc.titleTowards a Visual Analytics System for Emotion Trajectories in Multiparty Conversationsen_US
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