Jul 2026· Knowledge and Information Systems· Vol 68· 0 citations· 56 references
Computer Science
TL;DR
MMRP is proposed, an end-to-end multimodal multitask framework for jointly modeling ACSA and ORP from image-text reviews and demonstrates the effectiveness of jointly leveraging multimodal information for aspect-level and overall rating prediction in user reviews.
Multimodal aspect-based sentiment analysis (MABSA) predicts the sentiment expressed toward a target aspect by jointly using textual and visual information, supporting fine-grained opinion analysis in product reviews, brand monitoring, and customer feedback. However, existing approaches remain sensitive to irrelevant vi...
Ismail Ifakir, E. Nfaoui, Abderrahim Zannou· Symmetry· 0 citations
An Aspect-guided dual-branch fusion network (ADFN) to enhance sentiment prediction by incorporating external knowledge and integrating coarse and fine information is proposed, which incorporates syntactic dependency information to complement and enrich the textual semantic representations.
Bin Song, Wenjing Liu, Zhi Liang et al.· Signal, Image and Video Proc...· 0 citations
MTL-BERTNet is proposed, a novel multi-task learning architecture that jointly performs aspect category classification and sentiment polarity detection from MOOC reviews that leverages contextual embeddings from a pre-trained BERT encoder and integrates a convolutional multi-head attention mechanism to capture subtle s...
Raja Ouadad, Hicham Mouncif· Infocommunications journal· 0 citations
A generative ACSA model that incorporates external knowledge is proposed, which retrieves fine-grained aspect-related terms from external knowledge bases and uses them to construct contrastive sentence pairs, generating enhanced aspect-related representations, thereby bridging the gap between the original text and pred...
Yan Xiang, Hao-Quan Luo, Yuan Qin et al.· ACM Transactions on Asian an...· 0 citations
The main contribution of the proposed model is therefore not absolute superiority over large transformer models, but an improved balance between accuracy, interpretability, and computational efficiency for resource-constrained ABSA applications.
Mohammad Abu Kausar, M. Nasar, Sallam O. F. Khairy et al.· Journal of Computers, Mechan...· 0 citations
A Gated Noise-filtered Sentiment-Relevance Interaction (GNSRI) framework that employs a gated noise-filtering module to suppress sentiment-irrelevant features and enhance aspect-aware sentiment cues, and a sentiment-relevance interaction module to capture consistent and conflicting cross-modal signals at micro and macr...
Chen Huang, Liang-Wei Guo, Ya-Min Li et al.· 0 citations
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