Deep learning based sentiment analysis of public perception of working from home through tweets

A Vohra, R Garg - Journal of Intelligent Information Systems, 2023 - Springer
Nowadays, we are witnessing a paradigm shift from the conventional approach of working
from office spaces to the emerging culture of working virtually from home. Even during the …

Sentiment analysis and topic modeling on tweets about online education during COVID-19

M Mujahid, E Lee, F Rustam, PB Washington, S Ullah… - Applied Sciences, 2021 - mdpi.com
Amid the worldwide COVID-19 pandemic lockdowns, the closure of educational institutes
leads to an unprecedented rise in online learning. For limiting the impact of COVID-19 and …

[HTML][HTML] Exploring the challenges of remote work on Twitter users' sentiments: From digital technology development to a post-pandemic era

JR Saura, D Ribeiro-Soriano, PZ Saldaña - Journal of Business Research, 2022 - Elsevier
The boost in the use and development of technology, spurred by COVID-19 pandemic and
its consequences, has sped up the adoption of new technologies and digital platforms in …

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 …

Analyzing tweets on new norm: work from home during COVID-19 outbreak

S Gottipati, KJ Shim, HH Teo… - 2021 IEEE 11th …, 2021 - ieeexplore.ieee.org
The COVID-19 pandemic triggered a large-scale work-from-home trend globally in recent
months. In this paper, we study the phenomenon of “work-from-home”(WFH) by performing …

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 …

A novel hybrid deep learning model for sentiment classification

MU Salur, I Aydin - IEEE Access, 2020 - ieeexplore.ieee.org
A massive use of social media platforms such as Twitter and Facebook by omnifarious
organizations has increased the critical individual feedback on the situation, events …

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 …

[HTML][HTML] Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore

KM Ridhwan, CA Hargreaves - International Journal of Information …, 2021 - Elsevier
Microblogging has become one of the most useful tools for sharing everyday life events and
news and for expressing opinions about those events. As Twitter posts are short and …

Analysis and prediction of user sentiment on COVID-19 pandemic using tweets

N Yeasmin, NI Mahbub, MK Baowaly, BC Singh… - Big Data and Cognitive …, 2022 - mdpi.com
The novel coronavirus disease (COVID-19) has dramatically affected people's daily lives
worldwide. More specifically, since there is still insufficient access to vaccines and no …