Visual Analytics of Text Conversation Sentiment and Semantics

Simple item page
dc.contributor.authorHealey, Christopher G.en_US
dc.contributor.authorDinakaran, Gowthamen_US
dc.contributor.authorPadia, Kalpeshen_US
dc.contributor.authorNie, Shaoliangen_US
dc.contributor.authorBenson, J. Rileyen_US
dc.contributor.authorCaira, Daveen_US
dc.contributor.authorShaw, Deanen_US
dc.contributor.authorCatalfu, Garyen_US
dc.contributor.authorDevarajan, Ravien_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2021-10-08T07:38:22Z
dc.date.available2021-10-08T07:38:22Z
dc.date.issued2021
dc.description.abstractThis paper describes the design and implementation of a web‐based system to visualize large collections of text conversations integrated into a hierarchical four‐level‐of‐detail design. Viewers can visualize conversations: (1) in a streamgraph topic overview for a user‐specified time period; (2) as emotion patterns for a topic chosen from the streamgraph; (3) as semantic sequences for a user‐selected emotion pattern, and (4) as an emotion‐driven conversation graph for a single conversation. We collaborated with the Live Chatcustomer service group at SAS Institute to design and evaluate our system's strengths and limitations.en_US
dc.description.number6
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume40
dc.identifier.doi10.1111/cgf.14391
dc.identifier.issn1467-8659
dc.identifier.pages484-499
dc.identifier.urihttps://doi.org/10.1111/cgf.14391
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14391
dc.publisher© 2021 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.titleVisual Analytics of Text Conversation Sentiment and Semanticsen_US
Files
Collections
40-Issue 6