Sentimental analysis applications and approaches during covid-19: a survey

A Umair, E Masciari, MH Habib Ullah - Proceedings of the 25th …, 2021 - dl.acm.org
The social media and electronic media has a vast amount of user-generated data such as
people'comment and reviews about different product, diseases, government policies etc …

Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond

I Afyouni, I Hashim, Z Aghbari, T Elsaka… - Applied Spatial Analysis …, 2024 - Springer
The global health crisis of COVID-19 has ushered in an era of unprecedented data
generation, encompassing the virus's transmission patterns, societal consequences, and …

Sentimental and spatial analysis of covid-19 vaccines tweets

A Umair, E Masciari - Journal of Intelligent Information Systems, 2023 - Springer
The world has to face health concerns due to huge spread of COVID. For this reason, the
development of vaccine is the need of hour. The higher vaccine distribution, the higher the …

Vaccine sentiment analysis using BERT+ NBSVM and geo-spatial approaches

A Umair, E Masciari, MH Ullah - The Journal of Supercomputing, 2023 - Springer
Since the spread of the coronavirus flu in 2019 (hereafter referred to as COVID-19), millions
of people worldwide have been affected by the pandemic, which has significantly impacted …

An enhanced cloud-IoMT-based and machine learning for effective COVID-19 diagnosis system

JB Awotunde, SA Ajagbe, IR Idowu… - Intelligence of things: AI …, 2021 - Springer
The biosphere has been exaggerated adversely with the emerging of the COVID-19 at the
end of 2019. It is anticipated that the present pandemic will be tackle with precautionary …

[HTML][HTML] Pandemic fatigue? Insights from geotagged tweets on the spatiotemporal evolution of mental health in Canadian cities during COVID-19

CZ Pan, Y Wu, S Wang, J Wang, MA Chapman… - Cities, 2024 - Elsevier
While COVID-19 is no longer a global pandemic, its enduring effects on mental health
persist. This is the first study to quantify the impact of the COVID-19 pandemic on population …

Mutation Prediction for Coronaviruses Using Genome Sequence and Recurrent Neural Networks

P Pushkar, C Ananth, P Nagrath, JF Al-Amri… - 2022 - papers.ssrn.com
The study of viruses and their genetics has been an opportunity as well as a challenge for
the scientific community. The recent ongoing SARSCov2 (Severe Acute Respiratory …

Decoding product sentiments: Unraveling reviews with explainable analysis using Hugging-Face transformer

AD Vairamani, A Nayyar - XAI Based Intelligent Systems for Society 5.0, 2024 - Elsevier
Sentiment analysis is an important aspect of natural language processing (NLP), which aids
businesses in comprehending the thoughts and emotions of their consumers in order to …

Distributed PEP–PDP Architecture for Cloud Databases

G Deep, J Sidhu, R Mohana - Wireless Personal Communications, 2023 - Springer
Cloud computing allows accessing data from anywhere; Cloud databases play an important
role in storing requests for access management. These requests require authorization …

A Systematic View of Sentiment Analysis on Different Techniques, Challenges, and Future Directions in COVID-19

A Sathya, MS Mythili - Advances in Artificial and Human Intelligence …, 2023 - igi-global.com
In the last few years, social networking sites have exploded at a rapid pace. Sentiment
analysis (SA) is a way of mining data and reading text using natural language processing …