IEEE

ACIR-MACL: Effective Multimodal Sentiment Analysis via Attention-Based Causal Intervention Regularization and Multi-Aspect Contrastive Learning

Abstract: Multimodal Sentiment Analysis (MSA), which involves interpreting sentiment from language, vision, and acoustics, is a challenging task. While existing models have achieved considerable ...

How AI prompting turned writerly description into an everyday skill

Writing prompts to generate images combines two literary tasks at once: the realist description of concrete things and the ...
qualitysafety.bmj

Do patient safety incident investigations align with systems thinking? An analysis of contributing factors and recommendations

Background Globally, up to 17% of hospitalised people suffer a patient safety incident. Learning from adverse events through patient safety investigation is critical to prevention; however, their ...
IEEE

Twitter Sentiment Analysis using Machine Learning Techniques

Abstract: Sentiment analysis involves identifying and classifying opinions or sentiments expressed in textual data. With the rise of social media platforms, vast amounts of sentiment-rich data are ...