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

页码：484 / 499

页数：16

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