| dc.contributor.author | Healey, Christopher G. | en_US |
| dc.contributor.author | Dinakaran, Gowtham | en_US |
| dc.contributor.author | Padia, Kalpesh | en_US |
| dc.contributor.author | Nie, Shaoliang | en_US |
| dc.contributor.author | Benson, J. Riley | en_US |
| dc.contributor.author | Caira, Dave | en_US |
| dc.contributor.author | Shaw, Dean | en_US |
| dc.contributor.author | Catalfu, Gary | en_US |
| dc.contributor.author | Devarajan, Ravi | en_US |
| dc.contributor.editor | Benes, Bedrich and Hauser, Helwig | en_US |
| dc.date.accessioned | 2021-10-08T07:38:22Z | |
| dc.date.available | 2021-10-08T07:38:22Z | |
| dc.date.issued | 2021 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.14391 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf14391 | |
| dc.description.abstract | This 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.publisher | © 2021 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd | en_US |
| dc.title | Visual Analytics of Text Conversation Sentiment and Semantics | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.sectionheaders | Articles | |
| dc.description.volume | 40 | |
| dc.description.number | 6 | |
| dc.identifier.doi | 10.1111/cgf.14391 | |
| dc.identifier.pages | 484-499 | |
