Objectives: The objective of this study is to introduce a hybrid model for analyzing the people
sentiment on covid-19 tweets. Methods: We used a total no. of 27,500 datasets, 70% of the …

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

The advances in digitalization have resulted in social media sites like Twitter and Facebook
becoming very popular. People are able to express their opinions on any subject matter …

The social media has immense popularity among all the services today. Twitter is one of the
widely used platform by people to express their opinions and display sentiments on different …

Social media plays an important role in our lives due to the conditions of the age we live.
Nowadays, the most popular social media platform that prioritizes meaningful content …

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 …

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 …

Sentiment analysis is a method of understanding the user sentiment expressed in the form of
text. Social media is the best place to capture the public's opinion regarding how they feel …

Web-blogging sites such as Twitter and Facebook are heavily influenced by emotions,
sentiments, and data in the modern era. Twitter, a widely used microblogging site where …

Language Processing) is to analyze a sentiment or opinion of the text considered. In this
research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 …