Abstract | ||
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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. |
Year | DOI | Venue |
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2021 | 10.1111/cgf.14391 | COMPUTER GRAPHICS FORUM |
DocType | Volume | Issue |
Journal | 40 | 6 |
ISSN | Citations | PageRank |
0167-7055 | 0 | 0.34 |
References | Authors | |
0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christopher G. Healey | 1 | 861 | 65.46 |
Gowtham Dinakaran | 2 | 0 | 0.34 |
Kalpesh Padia | 3 | 0 | 0.34 |
Shaoliang Nie | 4 | 1 | 2.03 |
J. Riley Benson | 5 | 0 | 0.34 |
Dave Caira | 6 | 0 | 0.34 |
Dean Shaw | 7 | 0 | 0.34 |
Gary Catalfu | 8 | 0 | 0.34 |
Ravi Devarajan | 9 | 0 | 0.34 |