Visual Analytics of Text Conversation Sentiment and Semantics
Christopher G. Healey, Gowtham Thuruvas Dinakaran, Kalpesh Padia, Shaoliang Nie, Jordan Riley Benson, Dave Caira, Dean Shaw, Gary Catalfu, Ravi Devarajan · Computer Graphics Forum · 2021
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.