Leveraging machine learning to analyze sentiment from COVID‐19 tweets: A global perspective

MM Rahman, NI Khan, IH Sarker, M Ahmed… - Engineering …, 2023 - Wiley Online Library
Since the advent of the worldwide COVID‐19 pandemic, analyzing public sentiment has
become one of the major concerns for policy and decision‐makers. While the priority is to …

Exploring the performance of ensemble machine learning classifiers for sentiment analysis of COVID-19 tweets

MM Rahman, MN Islam - … Analysis and Deep Learning: Proceedings of …, 2022 - Springer
Since the beginning of the global COVID-19 pandemic, measuring public opinion has been
considered as one of the most critical issues for decision-makers to fight against the …

Machine learning techniques for sentiment analysis of COVID-19-related twitter data

N Braig, A Benz, S Voth, J Breitenbach… - IEEE Access, 2023 - ieeexplore.ieee.org
On Twitter, COVID-19 is a highly discussed topic. People worldwide have used Twitter to
express their viewpoints and feelings during the pandemic. Previous research has focused …

[PDF][PDF] Machine learning model for sentiment analysis of COVID-19 tweets

M Aljabri, SS Aljameel, IU Khan, N Aslam… - Int J Adv Sci Eng Inf …, 2022 - researchgate.net
COVID-19 pandemic presents unprecedented challenges and enormously affects different
aspects of individuals' lives worldwide. The implementation of different prevention …

[HTML][HTML] Covid-19 public sentiment insights and machine learning for tweets classification

J Samuel, GGMN Ali, MM Rahman, E Esawi, Y Samuel - Information, 2020 - mdpi.com
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …

[HTML][HTML] COVID-19 related sentiment analysis using state-of-the-art machine learning and deep learning techniques

Z Jalil, A Abbasi, AR Javed… - Frontiers in Public …, 2022 - frontiersin.org
The coronavirus disease 2019 (COVID-19) pandemic has influenced the everyday life of
people around the globe. In general and during lockdown phases, people worldwide use …

Comparing tweet sentiments in megacities using machine learning techniques: In the midst of COVID-19

Z Yao, J Yang, J Liu, M Keith, CH Guan - Cities, 2021 - Elsevier
COVID-19 was announced by the World Health Organization as a pandemic on March 11,
2020. Not only has COVID-19 struck the economy and public health, but it also has deep …

The relationship between sentiment score and COVID-19 cases in the United States

TJP Luu, R Follmann - Journal of Information Science, 2023 - journals.sagepub.com
The coronavirus disease (COVID-19) continues to have devastating effects across the globe.
No nation has been free from the uncertainty brought by this pandemic. The health, social …

[PDF][PDF] COVID19 outbreak: A hierarchical framework for user sentiment analysis

AF Ibrahim, M Hassaballah, AA Ali, Y Nam… - Comput. Mater …, 2022 - researchgate.net
Social networking sites in the most modernized world are flooded with large data volumes.
Extracting the sentiment polarity of important aspects is necessary as it helps to determine …

Global sentiment analysis of COVID-19 tweets over time

M Mansoor, K Gurumurthy, VR Prasad - arXiv preprint arXiv:2010.14234, 2020 - arxiv.org
The Coronavirus pandemic has affected the normal course of life. People around the world
have taken to social media to express their opinions and general emotions regarding this …