At the heart of affective computing lies the crucial task of decoding human emotions, a field
that expertly intertwines emotion identification with the nuances of sentiment analysis. This …

Automatic emotion recognition is a burgeoning field of research and has its roots in
psychology and cognitive science. This article comprehensively reviews multimodal emotion …

Educational Data Mining (EDM) is the application of data mining methods in the educational
domain. In the EDM field, we see mixed data (ie, text and number data types). Grou** or …

Emotions are fundamental to daily decision-making and overall wellbeing. Emotions are
psychophysiological processes that are frequently linked to human-machine interaction, and …

In the domain of human-computer interaction, accurately recognizing and interpreting
human emotions is crucial yet challenging due to the complexity and subtlety of emotional …

This paper investigates unsupervised multimodal domain adaptation for multimodal emotion
recognition, which is a solution for data scarcity yet remains under studied. Due to the …

Abstract Multimodal Sentiment Analysis (MSA) has gained significant attention due to the
limitations of unimodal sentiment recognition in complex real-world applications. Traditional …

Modern dialogue systems rely on emotion recognition in conversation (ERC) as a core
element enabling empathetic and human-like interactions. However, the weak correlation …

Monitoring the stress level in patients with neurodegenerative diseases can help manage
symptoms, improve patient's quality of life, and provide insight into disease progression. In …

Introduction Nostalgia is a complex emotional experience involving fond memories of the
past and mild sadness, characterized by positive emotions associated with reflecting on …