2023/09/09 by Ilya Nemtsov, MST Jasmine Jahan, Nemtsov, Ilya +5
Computer Science · Physics and Astronomy · Psychology · #Analytics #Cognitive psychology #Complex Network Analysis Techniques #Computer science #Computer security #Data Visualization and Analytics #Data mining #Data science #Event (particle physics) #FOS: Computer and information sciences #Feeling #Human-Computer Interaction (cs.HC) #Psychology #Sentiment Analysis and Opinion Mining #Social media #Social psychology #Timestamp #Visual analytics #Visualization #World Wide Web
paper · pdf · doi:10.48550/arxiv.2309.04722
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2023/09/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Twitter is one of the popular social media platforms where people share news or reactions towards an event or topic using short text messages called "tweets". Emotion analysis in these tweets can play a vital role in understanding peoples' feelings towards the underlying event or topic. In this work, we present our visual analytics tool, called TECVis, that focuses on providing comparison views of peoples' emotion feelings in tweets towards an event or topic. The comparison is done based on geolocations or timestamps. TECVis provides several interaction and filtering options for navigation and better exploration of underlying tweet data for emotion feelings comparison.