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A Visualization Dashboard for COVID-19 Tweets Sentiment Analysis
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Author(s): Devang Pathak (Vellore Institute of Technology, Chennai, India), Ishita Kumar (Vellore Institute of Technology, Chennai, India), Maheswari Raja (Centre for Smart Grid Technologies, Vellore Institute of Technology, Chennai, India)and Carol Anne Hargreaves (National University of Singapore, Singapore)
Copyright: 2022
Pages: 20
Source title:
Handbook of Research on Technical, Privacy, and Security Challenges in a Modern World
Source Author(s)/Editor(s): Amit Kumar Tyagi (National Institute of Fashion Technology, New Delhi, India)
DOI: 10.4018/978-1-6684-5250-9.ch012
PurchaseView on the publisher's website for pricing and purchasing information.
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Abstract
The COVID-19 pandemic has compelled the world to come to a standstill. Everyone including governments, researchers, organizations were caught off-guard. Social scientists and psychologists all try to understand the sentiment of the public so that they can help social organizations and governments to avert situations that ought to become worse if a negative sentiment persists among the commonality. With government-issued lockdowns in place during the pandemic, the public was mostly confined to their homes. So, the public started to share their status updates, discussions, photos, and videos over social media. Social media became the go-to place to obtain the public's sentiments and insights on the COVID-19 pandemic. This chapter introduces the utilization of the Twitter API to obtain tweets in real-time based on hashtags relating to the COVID-19 pandemic in order to gain insights on the sentiments of people at specific times. Each tweet received will be analyzed for emotional tone and sentiment. All data is stored in a Cloudant database.
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