The COVID-19 virus's transmissibility has sparked intense debate on social media sites,
particularly Twitter. As a result, to employ resources efficiently and effectively, a …

The spread of Covid-19 has resulted in worldwide health concerns. Social media is
increasingly used to share news and opinions about it. A realistic assessment of the …

The novel Coronavirus (COVID-19) has affected the normal life of people around the world
and has forced them to maintain social distance, self-quarantine and closing of many …

A key method used in the study of Natural Language Processing (NLP) is sentiment
analysis, or emotion analysis, plays a pivotal role in text analysis. Its primary function is to …

The COVID-19 is a transportable disease which is rapidly spread and numerous peoples
are endures and died from this disease. This paper proposed an ensemble based deep …

Abstract In March of 2020, the World Health Organization identified COVID-19 as a new
pandemic and issued a statement to that effect. This fatal virus was able to disperse and …

Social media coverage of COVID-19 has facilitated the analysis of pandemic sentiment
through the application of various Machine Learning Algorithms. Twitter is a prominent a …

COVID-19 pandemic presents unprecedented challenges and enormously affects different
aspects of individuals' lives worldwide. The implementation of different prevention …

The Internet is widely used by almost everyone. People are choosing social media
applications to voice their thoughts and concerns given the daily growth of these platforms …

Sentiment analysis falls within the category of Natural Language Processing (NLP)
technology. Behaviour analysis and recommendation employ sentiment analysis. On the …