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.

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 ...

In clinical settings, accurately understanding patients' emotions and responding appropriately plays a critical role in improving treatment outcomes and patient satisfaction. This technology acquires ...

Seeking to improve automatic emotion tracking, which detects and monitors emotions over time, a group of researchers in the field of human-computer interaction decided to approach the task by modeling ...

Meta Platforms Inc.’s Fundamental AI Research team is going head-to-head with OpenAI yet again, unveiling a new open-source multimodal large language model called Spirit LM that can handle both text ...

Would the next generation of professional front desks be staffed by humanoid robots that not only resemble human beings but ...

Palo Alto-based pet emotional intelligence startup Traini has announced the completion of a $7.5 million funding round, ...