Mining and analysis of the big data of Twitter conversations have been of significant interest
to the scientific community in the fields of healthcare, epidemiology, big data, data science …

Scientists and regular citizens alike search for ways to manage the widespread effects of the
COVID-19 pandemic. While scientists are busy in their labs, other citizens often turn to …

COVID-19 outbreak has caused a high number of casualties and is an unprecedented
public health emergency. Twitter has emerged as a major platform for public interactions …

In this work, a Twitter data-set was utilized to do sentiment analysis of people's thoughts on
the corona-virus (COVID-19) period, which is a major concern throughout the world these …

In March 2020, Coronavirus disease was officially announced as a pandemic all over the
world by the World Health Organization (WHO). Since then, the whole pharmaceutical world …

This study aims to conduct text mining of affective valence of the sentiments generated on
social media during the COVID-19 and measure their association with different outcomes of …

The mining of Tweets to develop datasets on recent issues, global challenges, pandemics,
virus outbreaks, emerging technologies, and trending matters has been of significant interest …

Social media has become a vital platform for individuals, organizations, and governments
worldwide to communicate and express their views. During the coronavirus disease 2019 …

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 …

This paper describes a large global dataset on people's discourse and responses to the
COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 June 2022, we …