[PDF][PDF] COVID19 outbreak: A hierarchical framework for user sentiment analysis
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 …
Extracting the sentiment polarity of important aspects is necessary as it helps to determine …
Leveraging machine learning to analyze sentiment from COVID‐19 tweets: A global perspective
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 …
become one of the major concerns for policy and decision‐makers. While the priority is to …
[PDF][PDF] Machine learning model for sentiment analysis of COVID-19 tweets
COVID-19 pandemic presents unprecedented challenges and enormously affects different
aspects of individuals' lives worldwide. The implementation of different prevention …
aspects of individuals' lives worldwide. The implementation of different prevention …
Artificial intelligence based sentence level sentiment analysis of COVID-19
S Rukhsar, MJ Awan, U Naseem… - Computer Systems …, 2023 - researchers.mq.edu.au
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 …
sentiments, and data in the modern era. Twitter, a widely used microblogging site where …
A deep learning approach for sentiment analysis of COVID-19 reviews
User-generated multi-media content, such as images, text, videos, and speech, has recently
become more popular on social media sites as a means for people to share their ideas and …
become more popular on social media sites as a means for people to share their ideas and …
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 …
express their viewpoints and feelings during the pandemic. Previous research has focused …
Beyond the use of a novel Ensemble based Random Forest-BERT Model (Ens-RF-BERT) for the Sentiment Analysis of the hashtag COVID19 tweets
B Jlifi, C Abidi, C Duvallet - Social Network Analysis and Mining, 2024 - Springer
The news of COVID-19 that has been circulating on social media has caused melancholy,
anxiety, and terror. One of these social networks is Twitter, that can be considered as a …
anxiety, and terror. One of these social networks is Twitter, that can be considered as a …
Sentiment Analysis of COVID-19 Tweets: How Does BERT Perform?
In a world, where microblogging is a regular component of modern life, COVID-19, a sudden
pandemic, made its own way with public opinion in social networking sites too. People …
pandemic, made its own way with public opinion in social networking sites too. People …
Information Extraction and Sentiment Analysis to gain insight into the COVID-19 crisis
The recent outbreak of coronavirus disease (COVID-19) has vividly proven to be a global
outbreak that has caused millions of lives and left the world in distress. Many research …
outbreak that has caused millions of lives and left the world in distress. Many research …
COVID-19 related sentiment analysis using state-of-the-art machine learning and deep learning techniques
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 …
people around the globe. In general and during lockdown phases, people worldwide use …