Michael Yakubov

ORCID: 0000-0003-4207-1037
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About
Contact & Profiles
Research Areas
  • COVID-19 epidemiological studies
  • COVID-19 Pandemic Impacts
  • COVID-19 and Mental Health
  • Sentiment Analysis and Opinion Mining
  • Mental Health via Writing

Wilmington University
2020-2021

Wilmington College
2020

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research identifies public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. focuses on - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends for...

10.1109/access.2020.3013933 article EN cc-by IEEE Access 2020-01-01

Investigating and classifying sentiments of social media users (e.g., positive, negative) towards an item, situation, system are very popular among researchers. However, they rarely discuss the underlying socioeconomic factor associations for such sentiments. This study attempts to explore factors associated with positive negative people about reopening economy, in United States (US) amidst COVID-19 global crisis. It takes into consideration situational uncertainties (i.e., changes work...

10.1016/j.heliyon.2021.e06200 article EN cc-by Heliyon 2021-02-01

Abstract The Coronavirus pandemic has created complex challenges and adverse circumstances. This research identifies public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. focuses on - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends...

10.1101/2020.06.01.20119362 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-06-02
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