GNN-IR: Examining graph neural networks for influencer recommendations in social media marketing
With the notable growth of the Internet, a number of platforms have emerged and attracted
an enormous number of users. Based on the impact of these platforms, some 'influencers' …
an enormous number of users. Based on the impact of these platforms, some 'influencers' …
Prediction of flight departure delays caused by weather conditions adopting data-driven approaches
S Kim, E Park - Journal of Big Data, 2024 - Springer
In this study, we utilize data-driven approaches to predict flight departure delays. The
growing demand for air travel is outpacing the capacity and infrastructure available to …
growing demand for air travel is outpacing the capacity and infrastructure available to …
Analyzing media bias in defense and foreign affairs: A deep learning and eXplainable artificial intelligence approach
J Lee, MS Park, E Park - Telematics and Informatics, 2024 - Elsevier
This study aims to investigate media bias in news articles related to defense and foreign
affairs by applying deep learning models and eXplainable artificial intelligence (XAI) …
affairs by applying deep learning models and eXplainable artificial intelligence (XAI) …
An Expert System to Detect Political Arabic Articles Orientation Using CatBoost Classifier Boosted by Multi-Level Features.
SM Darwish, ARM Sabri, DH Abd… - … Systems Science & …, 2024 - search.ebscohost.com
The number of blogs and other forms of opinionated online content has increased
dramatically in recent years. Many fields, including academia and national security, place an …
dramatically in recent years. Many fields, including academia and national security, place an …