Pre-trained ensemble model for identification of emotion during COVID-19 based on emergency response support system dataset

K Nimmi, B Janet, AK Selvan, N Sivakumaran - Applied Soft Computing, 2022 - Elsevier
Abstract The COVID-19 precautions, lockdown, and quarantine implemented throughout the
epidemic resulted in a worldwide economic disaster. People are facing unprecedented …

A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets

ME Basiri, S Nemati, M Abdar, S Asadi… - Knowledge-Based …, 2021 - Elsevier
Abstract Undoubtedly, coronavirus (COVID-19) has caused one of the biggest challenges of
all times. The ongoing COVID-19 pandemic has caused more than 150 million infected …

[HTML][HTML] Applying and understanding an advanced, novel deep learning approach: A Covid 19, text based, emotions analysis study

J Choudrie, S Patil, K Kotecha, N Matta… - Information Systems …, 2021 - Springer
The pandemic COVID 19 has altered individuals' daily lives across the globe. It has led to
preventive measures such as physical distancing to be imposed on individuals and led to …

Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries

D Sunitha, RK Patra, NV Babu, A Suresh… - Pattern recognition …, 2022 - Elsevier
As of November 2021, more than 24.80 crore people are diagnosed with the coronavirus in
that around 50.20 lakhs people lost their lives, because of this infectious disease. By …

[HTML][HTML] A proposed sentiment analysis deep learning algorithm for analyzing COVID-19 tweets

H Kaur, SU Ahsaan, B Alankar, V Chang - Information Systems Frontiers, 2021 - Springer
With the rise in cases of COVID-19, a bizarre situation of pressure was mounted on each
country to make arrangements to control the population and utilize the available resources …

Investigating the emotional response to COVID-19 news on twitter: a topic modeling and emotion classification approach

FB Oliveira, A Haque, D Mougouei, S Evans… - IEEE …, 2022 - ieeexplore.ieee.org
Media has played an important role in public information on COVID-19. But distressing
news, eg, COVID-19 death tolls, may trigger negative emotions in public, discouraging them …

[HTML][HTML] A novel deep learning based healthcare model for COVID-19 pandemic stress analysis

A Dumka, P Verma, R Singh… - Computers …, 2022 - repositorio.unic.co.ao
Coronavirus (COVID-19) has impacted nearly every person across the globe either in terms
of losses of life or as of lockdown. The current coronavirus (COVID-19) pandemic is a …

[HTML][HTML] Neural network based mental depression identification and sentiments classification technique from speech signals: A COVID-19 Focused Pandemic Study

ST Ahmed, DK Singh, SM Basha… - Frontiers in public …, 2021 - frontiersin.org
COVID-19 (SARS-CoV-2) was declared as a global pandemic by the World Health
Organization (WHO) in February 2020. This led to previously unforeseen measures that …

[HTML][HTML] Leveraging tweets for artificial intelligence driven sentiment analysis on the COVID-19 pandemic

NA Alkhaldi, Y Asiri, AM Mashraqi, HT Halawani… - Healthcare, 2022 - mdpi.com
The COVID-19 pandemic has been a disastrous event that has elevated several
psychological issues such as depression given abrupt social changes and lack of …

[Retracted] A Modified LSTM Framework for Analyzing COVID‐19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals

A Sakalle, P Tomar, H Bhardwaj… - Journal of Healthcare …, 2022 - Wiley Online Library
COVID‐19, a WHO‐declared public health emergency of worldwide concern, is quickly
spreading over the world, posing a physical and mental health hazard. The COVID‐19 has …