6 Hybrid (BiLSTM + GAT) Hybrid Fusion Attention-fused BiLSTM & GAT 7 Hybrid (GRU + GAT) Hybrid Fusion Attention-fused GRU & GAT (best) 8 Hybrid (AGRU + GAT) Hybrid Fusion Attention-fused AGRU & GAT 9 ...

Breast Cancer Screening Knowledge and Sentiments in Singaporean Women: Mixed Methods Study Using Topic Modeling, Sentiment Analysis, and Structured Questionnaire Data ...

Abstract: The utilization of deep learning techniques, particularly neural networks, with computer vision tool like OpenCV and yolov8 in the classification of dog emotions has huge potential to ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

Investors with a lot of money to spend have taken a bearish stance on NVIDIA (NASDAQ:NVDA). And retail traders should know. We noticed this today when the trades showed up on publicly available ...

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...

Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of ...

Abstract: This research produces an extensive multilingual data mining sentiment analysis model. Utilizing the material obtained, such as consumer reviews as well as on social networking sites, ...

Understanding what the markets will do before the competition realizes the same thing is a cornerstone of success in the financial services industry. While talented market watchers rely on their own ...

ABSTRACT: In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper ...