A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …
advancements during the last decade. The Internet of Medical Things (IoMT) has …
BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets
The COVID-19 pandemic has led to the emergence of social media platforms as crucial
channels for the dissemination of information and public opinion. Comprehending the …
channels for the dissemination of information and public opinion. Comprehending the …
TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm
COVID-19, a novel virus from the coronavirus family, broke out in Wuhan city of China and
spread all over the world, killing more than 5.5 million people. The speed of spreading is still …
spread all over the world, killing more than 5.5 million people. The speed of spreading is still …
Sentiment Analysis in the Age of COVID-19: A Bibliometric Perspective
The global impact of the COVID-19 pandemic has been profound, placing significant
challenges upon healthcare systems and the world economy. The pervasive presence of …
challenges upon healthcare systems and the world economy. The pervasive presence of …
Differentiating chat generative pretrained transformer from humans: detecting ChatGPT-generated text and human text using machine learning
Recently, the identification of human text and ChatGPT-generated text has become a hot
research topic. The current study presents a Tunicate Swarm Algorithm with Long Short …
research topic. The current study presents a Tunicate Swarm Algorithm with Long Short …
The deep learning resnet101 and ensemble xgboost algorithm with hyperparameters optimization accurately predict the lung cancer
Lung cancer is the most common and second leading cause of cancer with lowest survival
rate due to lack of efficient diagnostic tools. Currently, researchers are devising artificial …
rate due to lack of efficient diagnostic tools. Currently, researchers are devising artificial …
Exploring Food Waste Conversations on Social Media: A Sentiment, Emotion, and Topic Analysis of Twitter Data
Food waste is a complex issue requiring novel approaches to understand and identify areas
that could be leveraged for food waste reduction. Data science techniques such as …
that could be leveraged for food waste reduction. Data science techniques such as …
COVID-19 public opinion: a twitter healthcare data processing using machine learning methodologies
The COVID-19 pandemic has shattered the whole world, and due to this, millions of people
have posted their sentiments toward the pandemic on different social media platforms. This …
have posted their sentiments toward the pandemic on different social media platforms. This …
Social media and COVID‐19 vaccination hesitancy during pregnancy: a mixed methods analysis
S Golder, ACE McRobbie‐Johnson… - … Journal of Obstetrics …, 2023 - Wiley Online Library
Objective To evaluate the reasons for COVID‐19 vaccine hesitancy during pregnancy.
Design We used regular expressions to identify publicly available social media posts from …
Design We used regular expressions to identify publicly available social media posts from …
A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities
Microblogging site Twitter (re-branded to X since July 2023) is one of the most influential
online social media websites, which offers a platform for the masses to communicate …
online social media websites, which offers a platform for the masses to communicate …