A novel TCNN–Bi‐LSTM deep learning model for predicting sentiments of tweets about COVID‐19 vaccines

S Aslan - Concurrency and Computation: Practice and …, 2022 - Wiley Online Library
Many researchers in various disciplines have focused on extracting meaningful information
from social media platforms in recent years. Identification of behaviors and emotions from …

[PDF][PDF] A Deep Learning Approach for Sentiment Classification of COVID-19 Vaccination Tweets

H Said, BBS Tawfik, MA Makhlouf - International Journal of …, 2023 - researchgate.net
Now-a-days, social media platforms enable people to continuously express their opinions
and thoughts about different topics. Monitoring and analyzing the sentiments of people is …

Deep Learning‐Based Methods for Sentiment Analysis on Nepali COVID‐19‐Related Tweets

C Sitaula, A Basnet, A Mainali… - Computational …, 2021 - Wiley Online Library
COVID‐19 has claimed several human lives to this date. People are dying not only because
of physical infection of the virus but also because of mental illness, which is linked to …

TSM-CV: Twitter Sentiment Analysis for COVID-19 Vaccines Using Deep Learning

S Albahli, M Nawaz - Electronics, 2023 - mdpi.com
The coronavirus epidemic has imposed a devastating impact on humans around the globe,
causing profound anxiety, fear, and complex emotions and feelings. Vaccination against the …

Sentiment Analysis on COVID-19 Vaccine Twitter Data using Neural Network Models

Z Ferdous, R Akhter, A Tahsin… - Proceedings of the 2nd …, 2022 - dl.acm.org
Nowadays, social media is crucial for informing people about global issues such as the
current COVID-19 pandemic. People have expressed different perspectives on the COVID …

Sentiment Analysis on Large-Scale Covid-19 Tweets using Hybrid Convolutional LSTM Based on Naïve Bayes Sentiment Modeling

AK Chakraborty, D Das, AK Kolya - ECTI Transactions on …, 2023 - ph01.tci-thaijo.org
Millions of lives were affected rapidly throughout the world when the Covid-19 outbreak
spread by leaps and bounds. During this catastrophic period, people used to express their …

Covid-19 vaccination-related sentiments analysis: a case study using worldwide twitter dataset

AA Reshi, F Rustam, W Aljedaani, S Shafi, A Alhossan… - Healthcare, 2022 - mdpi.com
COVID-19 pandemic has caused a global health crisis, resulting in endless efforts to reduce
infections, fatalities, and therapies to mitigate its after-effects. Currently, large and fast-paced …

Using Deep Learning Models for COVID-19 Related Sentiment Analysis on Twitter Data

WH Bangyal, S Amina, R Shakir… - … on Human-Centered …, 2023 - ieeexplore.ieee.org
The significance of sentiment analysis has increased in modern times due to the extensive
use of social media platforms as a medium for individuals to express their opinions. Twitter is …

Stacked-CNN-BiLSTM-COVID: An effective stacked ensemble deep learning framework for sentiment analysis of arabic COVID-19 tweets

N Abdelhady, T Hassan A. Soliman… - Journal of Cloud …, 2024 - Springer
Social networks are popular for advertising, idea sharing, and opinion formation. Due to
COVID-19, coronavirus information disseminated on social media affects people's lives …

CNN-OLSTM: Convolutional Neural Network with Optimized Long Short-Term Memory Model for Twitter based Sentiment Analysis

H Vanam, JR Raj - IETE Journal of Research, 2023 - Taylor & Francis
Social Networking continues the growth of web users, with people sharing their ideas and
opinions daily in the form of texts, pictures, videos, and speech. Text classification is still an …