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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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.
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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.
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Healey, C. G., et al. “Visual Analytics of Text Conversation Sentiment and Semantics.” Computer Graphics Forum, vol. 40, no. 6, 2021, pp. 484–99.
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@article{c2021a,
title = {Visual analytics of text conversation sentiment and semantics},
year = {2021},
issue = {6},
journal = {Computer Graphics Forum},
pages = {484-499},
volume = {40},
author = {Healey, C. G. and Dinakaran, G. and Padia, K. and Nie, S. and Benson, J. and Caira, D. and Shaw, D. and Catalfu, G. and Devarajan, R.}
}
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.
