The use of Machine Learning (ML) and Sentiment Analysis (SA) on data from microblogging
sites has become a popular method for stock market prediction. In this work, we developed a …

Data analytics (DA) is a growing technique to generate knowledge of and to raise
responsiveness to marketplace, yet relatively few studies clarified its framework and to …

Social media has provided promotion and communication channels for organizations to
reach their target audience efficiently and cost-effectively. Despite wide social media …

SARS-CoV-2 and its mutations are spreading around the world, threatening the human
population with millions of infections and deaths. Vaccines are considered the main …

This work utilizes data from Twitter to mine association rules and extract knowledge about
public attitudes regarding worldwide crises. It exploits the COVID-19 pandemic as a use …

The growth of business analytics applications in decision making is becoming a significant
component in today's organizations, and the powerful changes brought by such applications …

A way to improve energy management is to perform balancing both at the Peer-to-peer
(P2P) level and then at the Virtual Microgrid-to-Virtual Microgrid (VMG2VMG) level, while …

In recent years, the emergence of the smart city concept has garnered attention as a
promising innovation aimed at addressing the multifactorial challenges arising from the …

In the dynamic world of finance, this paper delves into the pivotal role played by non-
participant models in addressing data gaps and elevating our understanding of financial …

The wake of the COVID-19 pandemic has yet again highlighted how vital immunization is for
public health. Despite the dramatic spread of SARS-CoV-2 and its variants, there is a rising …