4 papers
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…
Detecting Dark Patterns in User Interfaces Using Logistic Regression and Bag-of-Words Representation
Aliyu Umar, Maaruf Lawan, Adamu Lawan +2
Dark patterns in user interfaces represent deceptive design practices intended to manipulate users' behavior, often leading to unintended consequences such as coerced purchases, in…
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…