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Visual Analytics of Text Conversation Sentiment and Semantics

被引：0
|
作者：
Healey, Christopher G. [1 ,2 ]
Dinakaran, Gowtham [1 ,2 ]
Padia, Kalpesh [2 ]
Nie, Shaoliang [2 ]
Benson, J. Riley [3 ]
Caira, Dave [3 ]
Shaw, Dean [3 ]
Catalfu, Gary [3 ]
Devarajan, Ravi [3 ]
机构：
[1] NC State Univ, Inst Adv Analyt, Raleigh, NC 27695 USA
[2] NC State Univ, Dept Comp Sci, Raleigh, NC 27695 USA
[3] SAS Inst, Cary, NC USA
来源：
COMPUTER GRAPHICS FORUM | 2021年 / 40卷 / 06期
关键词：
OF-THE-ART; VISUALIZATIONS; DIFFUSION; DESIGN; SYSTEM;
D O I：
10.1111/cgf.14391
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：484 / 499
页数：16
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