Zero Shot Emotion

Zero-shot emotion recognition aims to classify emotions in text, images, or audio without prior training on specific emotion labels, focusing on generalizing across diverse datasets and languages. Current research utilizes large language models (LLMs), often incorporating visual prompts or generative question-answering techniques, and explores various architectures like CLIP and neural networks for audio processing. This field is significant for advancing human-computer interaction, improving mental health assessments, and enabling more nuanced and empathetic AI systems across various applications.