Sentiment analysis (SA) has gained much traction In the field of artificial intelligence (AI) and
natural language processing (NLP). There is growing demand to automate analysis of user …

Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

Multimodal sentiment analysis has emerged as a prominent research field within artificial
intelligence, benefiting immensely from recent advancements in deep learning. This …

Multimodal sentiment analysis has gained popularity as a research field for its ability to
predict users' emotional tendencies more comprehensively. The data fusion module is a …

Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …

Cognitive reappraisal intends to study the significance of an event concerning any emotional
reaction. Understanding the efficacy of cognitive reappraisal in emotion regulation requires …

Neural Architecture Search methods have been successfully applied to image tasks with
excellent results. However, NAS methods are often complex and tend to quickly converge for …

Emotion recognition in conversations (ERC) has wide applications in medical care, human-
computer interaction, and other fields. Unlike the general task of emotion analysis, humans …

Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …

Sentiment analysis is a key component of many social media analysis projects. Additionally,
prior research has concentrated on a single modality in particular, such as text descriptions …