Visual analytics of text conversation sentiment and semantics

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

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APA Click to copy
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 Click to copy
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 Click to copy
Healey, C. G., et al. “Visual Analytics of Text Conversation Sentiment and Semantics.” Computer Graphics Forum, vol. 40, no. 6, 2021, pp. 484–99.

BibTeX Click to copy

@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.