TECVis: A Visual Analytics Tool to Compare People's Emotion Feelings

Autor:	Nemtsov, Ilya, Jahan, MST Jasmine, Yan, Chuting, Humayoun, Shah Rukh
Rok vydání:	2023
Předmět:	Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	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. Comment: 2 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2309.04722 Zobrazit plný text záznamu View this record from Arxiv