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

Authors:

Jolin Shaynn-Ly Kwan,

Kwan Hui LimAuthors Info & Claims

IUI '21 Companion: Companion Proceedings of the 26th International Conference on Intelligent User Interfaces

Pages 58 - 60

https://doi.org/10.1145/3397482.3450733

Published: 14 April 2021 Publication History

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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References

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Cited By

Karunarathna SIshanka UKuhaneswaran B(2023)Machine Learning-Based Sentiment Analysis of Mental Health-Related Tweets by Sri Lankan Twitter Users During the COVID-19 PandemicGlobal Perspectives on Social Media Usage Within Governments10.4018/978-1-6684-7450-1.ch016(236-256)Online publication date: 30-Jun-2023
https://doi.org/10.4018/978-1-6684-7450-1.ch016
Umair AMasciari EUllah M(2023)Vaccine sentiment analysis using BERT + NBSVM and geo-spatial approachesThe Journal of Supercomputing10.1007/s11227-023-05319-879:15(17355-17385)Online publication date: 7-May-2023
https://dl.acm.org/doi/10.1007/s11227-023-05319-8
Fatima NBelal MKumar KSadaf R(2022)Indian Healthcare Infrastructure Analysis during COVID-19 using Twitter Sentiments2022 International Conference on Decision Aid Sciences and Applications (DASA)10.1109/DASA54658.2022.9765047(270-274)Online publication date: 23-Mar-2022
https://doi.org/10.1109/DASA54658.2022.9765047
Show More Cited By

Index Terms

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

Index terms have been assigned to the content through auto-classification.

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Information & Contributors

Information

Published In

cover image ACM Conferences

IUI '21 Companion: Companion Proceedings of the 26th International Conference on Intelligent User Interfaces

April 2021

101 pages

ISBN:9781450380188

DOI:10.1145/3397482

Co-chairs:
Katrien Verbert
Katholieke Universiteit Leuven
,
Dennis Parra
Pontificia Universidad Católica de Chile
,
General Chair:
Tracy Hammond
Texas A&M University
,
Program Chairs:
Bart Knijnenburg
Clemson University
,
John O'Donovan
UC Santa Barbara
,
Paul Taele
Texas A&M University

Copyright © 2021 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 April 2021

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Work in progress
Research
Refereed limited

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MOE / SUTD

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IUI '21

Sponsor:

IUI '21: 26th International Conference on Intelligent User Interfaces

April 14 - 17, 2021

TX, College Station, USA

Acceptance Rates

Overall Acceptance Rate 746 of 2,811 submissions, 27%

Upcoming Conference

IUI '25

Sponsor:
sigai
sigai

30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

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Citations

Cited By

Karunarathna SIshanka UKuhaneswaran B(2023)Machine Learning-Based Sentiment Analysis of Mental Health-Related Tweets by Sri Lankan Twitter Users During the COVID-19 PandemicGlobal Perspectives on Social Media Usage Within Governments10.4018/978-1-6684-7450-1.ch016(236-256)Online publication date: 30-Jun-2023
https://doi.org/10.4018/978-1-6684-7450-1.ch016
Umair AMasciari EUllah M(2023)Vaccine sentiment analysis using BERT + NBSVM and geo-spatial approachesThe Journal of Supercomputing10.1007/s11227-023-05319-879:15(17355-17385)Online publication date: 7-May-2023
https://dl.acm.org/doi/10.1007/s11227-023-05319-8
Fatima NBelal MKumar KSadaf R(2022)Indian Healthcare Infrastructure Analysis during COVID-19 using Twitter Sentiments2022 International Conference on Decision Aid Sciences and Applications (DASA)10.1109/DASA54658.2022.9765047(270-274)Online publication date: 23-Mar-2022
https://doi.org/10.1109/DASA54658.2022.9765047
George YKarunasekera SHarwood ALim K(2021)Real-time spatio-temporal event detection on geotagged social mediaJournal of Big Data10.1186/s40537-021-00482-28:1Online publication date: 24-Jun-2021
https://doi.org/10.1186/s40537-021-00482-2
Singhal TLiu JBlessing LLim K(2021)Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling2021 IEEE International Conference on Big Data (Big Data)10.1109/BigData52589.2021.9671598(4965-4973)Online publication date: 15-Dec-2021
https://doi.org/10.1109/BigData52589.2021.9671598

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