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 …

Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …

The term IoT technology is associated with many fields, including scientific, commercial,
industrial, health, transportation and other fields, which became a necessity of daily life …

Multimodal sentiment analysis has been studied under the assumption that all modalities
are available. However, such a strong assumption does not always hold in practice, and …

Text sentiment analysis is a fundamental task in the field of natural language processing
(NLP). Recently, graph neural networks (GNNs) have achieved excellent performance in …

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 attracted increasing attention with broad application
prospects. Most of the existing methods have focused on a single modality, which fails to …

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 …

Stock market is a dynamic and volatile market that is considered as time series data. The
growth of financial data exposed the computational efficiency of the conventional systems …