Multimodal emotion analysis is an important endeavor in human–computer interaction
research, as it enables the accurate identification of an individual's emotional state by …

Affective computing, a field at the intersection of cognitive science, linguistics, and AI, seeks
to enhance human–computer interactions. Recognizing the complexity of human emotions …

Affective computing is a multidisciplinary field encompassing artificial intelligence, natural
language processing, linguistics, computer science, and social sciences. This field aims to …

Multimodal sentiment analysis, an increasingly vital task in the realms of natural language
processing and machine learning, addresses the nuanced understanding of emotions and …

The primary challenge in multimodal sentiment analysis (MSA), which utilizes textual, audio,
and visual information to analyze speakers' emotions, lies in constructing representation …

Purpose In social media, crisis information susceptible of generating different emotions
could be spread at exponential pace via multilevel super-spreaders. This study aims to …

The intrinsic challenges of contemporary marketing encourage discovering new approaches
to engage and retain customers effectively. As the main channels of interactions between …

Automatic polarity prediction is a challenging assessment issue. Even though polarity
assessment is a critical topic with many existing applications, it is probably not an easy …

Sentiment analysis of online car reviews is a significant process in natural language
processing. Numerous car enthusiasts and influencers create video reviews of automobiles …

This paper presents the solution of the DeepPavlov team for the Multimodal Sentiment
Cause Analysis competition in SemEval-2024 Task 3, Subtask 2 (Wang et al., 2024). In the …