#5831. Visual Analytics of Text Conversation Sentiment and Semantics

July 2026publication date
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Journal’s subject area:
Computer Graphics and Computer-Aided Design;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
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.
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