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Large language models meet text-centric multimodal sentiment analysis: A survey
Compared to traditional sentiment analysis, which only considers text, multimodal sentiment
analysis needs to consider emotional signals from multimodal sources simultaneously and …
analysis needs to consider emotional signals from multimodal sources simultaneously and …
FATFusion: A functional–anatomical transformer for medical image fusion
Medical image fusion (MIF) strives to obtain an informative fused image by integrating
complementary information, eg, functional metabolic properties and anatomical soft tissues …
complementary information, eg, functional metabolic properties and anatomical soft tissues …
Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis
Abstract Joint Multi-modal Aspect-based Sentiment Analysis (JMASA) is a challenging task
that seeks to identify all aspect-sentiment pairs from multimodal data. Current JMASA …
that seeks to identify all aspect-sentiment pairs from multimodal data. Current JMASA …
Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis
Abstract Multi-modal Aspect-based Sentiment Analysis (MABSA) aims to forecast the polarity
of sentiment concerning aspects within a given sentence based on the correlation between …
of sentiment concerning aspects within a given sentence based on the correlation between …
Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis
Abstract Aspect-based Sentiment Analysis (ABSA) is a crucial natural language
understanding (NLU) research field which aims to accurately recognize reviewers' opinions …
understanding (NLU) research field which aims to accurately recognize reviewers' opinions …
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning
Abstract Multimodal Entity-Based Sentiment Analysis (MEBSA) is an emerging task within
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
A survey on aspect base sentiment analysis methods and challenges
Sentiment analysis has spread to virtually every industry, including service, finance, e-
commerce, consumer goods, telecommunications, health care, political campaigns, social …
commerce, consumer goods, telecommunications, health care, political campaigns, social …
Multi-level textual-visual alignment and fusion network for multimodal aspect-based sentiment analysis
Y Li, H Ding, Y Lin, X Feng, L Chang - Artificial Intelligence Review, 2024 - Springer
Abstract Multimodal Aspect-Based Sentiment Analysis (MABSA) is an essential task in
sentiment analysis that has garnered considerable attention in recent years. Typical …
sentiment analysis that has garnered considerable attention in recent years. Typical …
Joint multimodal sentiment analysis based on information relevance
D Chen, W Su, P Wu, B Hua - Information Processing & Management, 2023 - Elsevier
Social media users are increasingly turning to express opinions with both images and text,
while the visual content and text description may cover some conflicting information diverse …
while the visual content and text description may cover some conflicting information diverse …
TEDT: transformer-based encoding–decoding translation network for multimodal sentiment analysis
F Wang, S Tian, L Yu, J Liu, J Wang, K Li… - Cognitive Computation, 2023 - Springer
Multimodal sentiment analysis is a popular and challenging research topic in natural
language processing, but the impact of individual modal data in videos on sentiment …
language processing, but the impact of individual modal data in videos on sentiment …