Valence Prediction

Valence prediction, the task of automatically assessing the positivity or negativity of emotions expressed in various modalities (text, speech, images), aims to improve human-computer interaction and understand emotional dynamics across cultures and domains. Current research focuses on enhancing accuracy through data augmentation techniques, personalized models leveraging individual characteristics, and the application of advanced architectures like transformers and deep neural networks, often incorporating multi-task learning and knowledge distillation. These advancements have implications for applications ranging from emotion recognition in human-robot interaction to the detection of bias in social media and the analysis of emotional trends in music and literature.