TECVis: A Visual Analytics Tool to Compare People's Emotion Feelings
Ilya Nemtsov, MST Jasmine Jahan, Chuting Yan, Shah Rukh Humayoun

TL;DR
TECVis is a visual analytics tool designed to compare people's emotional reactions in tweets across geolocations and timestamps, aiding understanding of public sentiment towards events.
Contribution
The paper introduces TECVis, a novel visual analytics system that enables effective comparison of emotional feelings in tweets based on location and time.
Findings
Facilitates exploration of emotional data in tweets
Supports comparison across geolocations and timestamps
Enhances understanding of public sentiment trends
Abstract
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.
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Taxonomy
TopicsData Visualization and Analytics · Sentiment Analysis and Opinion Mining · Complex Network Analysis Techniques
