TweetCOVID: A System for Analyzing Public Sentiments and Discussions about COVID-19 via Twitter Activities

TL;DR

TweetCOVID is a system that analyzes Twitter data to understand public sentiments, emotions, and discussions related to COVID-19 across different times and locations, aiding in pandemic response insights.

Contribution

The paper introduces TweetCOVID, a novel system for analyzing public reactions to COVID-19 via Twitter, including sentiments, emotions, and discussion topics.

Findings

Effective analysis of public sentiment over time and locations

Identification of key discussion topics and controversies

Use cases demonstrating system utility

Abstract

The COVID-19 pandemic has created widespread health and economical impacts, affecting millions around the world. To better understand these impacts, we present the TweetCOVID system that offers the capability to understand the public reactions to the COVID-19 pandemic in terms of their sentiments, emotions, topics of interest and controversial discussions, over a range of time periods and locations, using public tweets. We also present three example use cases that illustrates the usefulness of our proposed TweetCOVID system.