Image Sentiment

Image sentiment analysis focuses on automatically determining the emotional tone conveyed by images, a complex task due to the subjective nature of visual perception and the variability in human interpretation. Current research emphasizes developing robust models, often employing deep learning architectures like multi-task learning and multimodal approaches that integrate textual and visual information, to accurately classify image sentiment across diverse contexts and perspectives. This field is crucial for applications ranging from social media monitoring and misinformation detection to improving the quality and user experience of text-to-image generation systems, as accurate sentiment analysis enhances the understanding and interpretation of visual content.

Papers