1 citations · 2 across the 6 of their papers we have counts for
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AF-MAT: Aspect-aware Flip-and-Fuse xLSTM for Aspect-based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +3
Aspect-based Sentiment Analysis (ABSA) is a crucial NLP task that extracts fine-grained opinions and sentiments from text, such as product reviews and customer feedback. Existing m…
DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +4
Multimodal Aspect-based Sentiment Analysis (MABSA) enhances sentiment detection by integrating textual data with complementary modalities, such as images, to provide a more refined…
Enhancing Long-Range Dependency with State Space Model and Kolmogorov-Arnold Networks for Aspect-Based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +2
Aspect-based Sentiment Analysis (ABSA) evaluates sentiments toward specific aspects of entities within the text. However, attention mechanisms and neural network models struggle wi…
Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +2
Aspect-Based Sentiment Analysis (ABSA) is increasingly crucial in Natural Language Processing (NLP) for applications such as customer feedback analysis and product recommendation s…