Predicting Alzheimer's disease (AD) progression is crucial for improving the management of
this chronic disease. Usually, data from AD patients are multimodal and time series in …

Abstract The COVID-19 precautions, lockdown, and quarantine implemented throughout the
epidemic resulted in a worldwide economic disaster. People are facing unprecedented …

Social networks such as twitter have emerged as social platforms that can impart a massive
knowledge base for people to share their unique ideas and perspectives on various topics …

Arabic sentiment analysis is a process that aims to extract the subjective opinions of different
users about different subjects since these opinions and sentiments are used to recognize …

Twitter has become a unique platform for social interaction from people all around the world,
leading to an extensive amount of knowledge that can be used for various reasons. People …

Now a days, understanding the review of the articles, movies are the major issue due to
different sentiment present on them. Reviews are short texts which expressing the opinion of …

From the end of 2018 in China, the Big-data Driven Price Discrimination (BDPD) of online
consumption raised public debate on social media. To study the consumers' attitude about …

This paper presents a Hybrid Feature Selection Technique for Sentiment Classification. We
have used a Genetic Algorithm and a combination of existing Feature Selection methods …

Sentiment classification is a field of sentiment analysis concerned with analyzing opinions,
emotions, evaluations, and attitudes regarding a special topic like a product, an …

Big data in medical diagnosis can provide abundant value for clinical diagnosis, decision
support and many other applications, but obtaining a large number of labeled medical data …