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

• URL: http://arxiv.org/abs/2103.01472v1
• Date: Tue, 2 Mar 2021 05:00:41 GMT
• Title: TweetCOVID: A System for Analyzing Public Sentiments and Discussions about COVID-19 via Twitter Activities
• Authors: Jolin Shaynn-Ly Kwan, Kwan Hui Lim
• Abstract summary: TweetCOVID 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.
• Score: 0.3121997724420106
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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