Revolutionizing vaccine development for COVID-19: a review of AI-based approaches
The evolvement of COVID-19 vaccines is rapidly being revolutionized using artificial
intelligence-based technologies. Small compounds, peptides, and epitopes are collected to …
intelligence-based technologies. Small compounds, peptides, and epitopes are collected to …
Anti-vaccine discourse on social media: An exploratory audit of negative tweets about vaccines and their posters
As the anti-vaccination movement is spreading around the world, this paper addresses the
ever more urgent need for health professionals, communicators and policy-makers to grasp …
ever more urgent need for health professionals, communicators and policy-makers to grasp …
Rethinking densely connected convolutional networks for diagnosing infectious diseases
Due to its high transmissibility, the COVID-19 pandemic has placed an unprecedented
burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a …
burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a …
Unveiling Vaccine Hesitancy on Twitter: Analyzing Trends and Reasons during the Emergence of COVID-19 Delta and Omicron Variants
Given the high amount of information available on social media, the paper explores the
degree of vaccine hesitancy expressed in English tweets posted worldwide during two …
degree of vaccine hesitancy expressed in English tweets posted worldwide during two …
Public health policy monitoring through public perceptions: a case of covid-19 tweet analysis
Since the start of the COVID-19 pandemic, government authorities have responded by
issuing new public health policies, many of which were intended to contain its spread but …
issuing new public health policies, many of which were intended to contain its spread but …
Impact of COVID-19 pandemic on mental health and socioeconomic aspects in Greece
T Stylianou, K Ntelas - … Journal of Environmental Research and Public …, 2023 - mdpi.com
The global outbreak of the COVID-19 pandemic has spread worldwide, affecting almost all
countries and territories. COVID-19 continues to impact various spheres of our life, such as …
countries and territories. COVID-19 continues to impact various spheres of our life, such as …
Deep learning-based credibility conversation detection approaches from social network
I Fadhli, L Hlaoua, MN Omri - Social Network Analysis and Mining, 2023 - Springer
In recent years, the social networks that have become most exploited sources of information,
such as Facebook, Instagram, LinkedIn, and Twitter, have been considered the main …
such as Facebook, Instagram, LinkedIn, and Twitter, have been considered the main …
Aspect-based sentiment analysis of drug reviews using multi-task learning based dual BiLSTM model
User-generated content on healthcare web forums, particularly drug reviews, provides
valuable information on drug benefits, effectiveness, side effects, dosage, condition, cost …
valuable information on drug benefits, effectiveness, side effects, dosage, condition, cost …
Know an emotion by the company it keeps: Word embeddings from Reddit/coronavirus
Social media is a crucial communication tool (eg, with 430 million monthly active users in
online forums such as Reddit), being an objective of Natural Language Processing (NLP) …
online forums such as Reddit), being an objective of Natural Language Processing (NLP) …
[HTML][HTML] Deconstructing cultural appropriation in online communities: A multilayer network analysis approach
E Corradini - Information Processing & Management, 2024 - Elsevier
In this study, we introduce a novel multilayer network model designed to analyze complex
social phenomena in online communities. The model captures intricate relationships …
social phenomena in online communities. The model captures intricate relationships …