Discover what savvy investors evaluate before trusting a crypto price prediction, including methodology, data quality, ...

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

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

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, ...

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 ...

Financial giants have made a conspicuous bearish move on IonQ. Our analysis of options history for IonQ (NYSE:IONQ) revealed 54 unusual trades. Delving into the details, we found 38% of traders were ...

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, ...

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 ...