Visual sentiment analysis and emotion recognition constitute a rapidly evolving interdisciplinary field at the confluence of computer vision, machine learning, and affective computing. These ...

Sentiment analysis — a technique that uses natural language processing (NLP), machine learning (ML) and AI to gauge emotions in customer interactions — has emerged as a powerful tool for uncovering ...

Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...

Multimodal sentiment analysis and emotion recognition endeavour to capture and interpret human affect through a synthesis of diverse sensory inputs, including textual, visual and acoustic modalities.