Feeling Like It is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics
Jim Samuel, Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, Yana Samuel,, Alexander Pelaez

TL;DR
This study analyzes Twitter sentiment data to understand public emotions and support for reopening the US economy during COVID-19, revealing more trust than fear towards reopening scenarios.
Contribution
It introduces a textual analytics approach to assess public sentiment trends regarding reopening strategies during the pandemic.
Findings
Twitter data shows more trust than fear for reopening.
Sentiment analysis supports early reopening with higher trust levels.
Textual visualization aids in understanding public emotional responses.
Abstract
The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the lockdown, and explores ensuing four potential sentiment associated scenarios. The severity and brutality of COVID-19 have led to the development of extreme feelings, and emotional and mental healthcare challenges. This research identifies emotional consequences - the presence of extreme fear, confusion and volatile sentiments, mixed along with trust and anticipation. It is necessary to gauge dominant public sentiment trends for effective decisions and policies. This study analyzes public sentiment using Twitter Data, time-aligned to COVID-19, to identify dominant sentiment trends associated with the push to 'reopen' the economy. Present research uses textual analytics methodologies to analyze public sentiment…
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Taxonomy
Methods7 Fastest Ways to Call American Airlines Reservations Number (USA Guide)
