Journal article
C. G. Healey, G. Dinakaran, K. Padia, S. Nie, J. Benson, D. Caira, D. Shaw, G. Catalfu, R. Devarajan
Computer Graphics Forum, vol. 40(6), 2021, pp. 484-499
Computer Graphics Forum, vol. 40(6), 2021, pp. 484-499
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APA
Healey, C. G., Dinakaran, G., Padia, K., Nie, S., Benson, J., Caira, D., … Devarajan, R. (2021). Visual analytics of text conversation sentiment and semantics. Computer Graphics Forum, 40(6), 484–499.
Chicago/Turabian
Healey, C. G., G. Dinakaran, K. Padia, S. Nie, J. Benson, D. Caira, D. Shaw, G. Catalfu, and R. Devarajan. “Visual Analytics of Text Conversation Sentiment and Semantics.” Computer Graphics Forum 40, no. 6 (2021): 484–499.
MLA
Healey, C. G., et al. “Visual Analytics of Text Conversation Sentiment and Semantics.” Computer Graphics Forum, vol. 40, no. 6, 2021, pp. 484–99.
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.