3 papers
cs.CV2024
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild
Nicolas Richet, Soufiane Belharbi, Haseeb Aslam +8
Systems for multimodal emotion recognition (ER) are commonly trained to extract features from different modalities (e.g., visual, audio, and textual) that are combined to predict i…
cs.CL2024
Sequence-to-Sequence Language Models for Character and Emotion Detection in Dream Narratives
Gustave Cortal
The study of dreams has been central to understanding human (un)consciousness, cognition, and culture for centuries. Analyzing dreams quantitatively depends on labor-intensive, man…
cs.CL2023
Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation
Gustave Cortal, Alain Finkel, Patrick Paroubek +1
Emotion regulation is a crucial element in dealing with emotional events and has positive effects on mental health. This paper aims to provide a more comprehensive understanding of…