8 papers · 1 filter
CT: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees
S M Rafiuddin, Atriya Sen
Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…
Constraint-Aware Counterfactual Editing for Aspect-Based Sentiment Analysis
S M Rafiuddin, Vamsi Krishna Pavuluri, Atriya Sen
Aspect-Based Sentiment Analysis (ABSA) requires models to identify sentiment toward specific aspects rather than relying on the global polarity of a sentence. This makes counterfac…
Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models
S M Rafiuddin, Muntaha Nujat Khan
Transformer attention scales quadratically with sequence length O(n^2), limiting long-context use. We propose Adaptive Retention, a probabilistic, layer-wise token selection mechan…
A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis Based on Recurrent Neural Network
Md. Jahidul Islam Razin, Md. Abdul Karim, M. F. Mridha +2
Business sentiment analysis (BSA) is one of the significant and popular topics of natural language processing. It is one kind of sentiment analysis techniques for business purposes…
Ranking of Bangla Word Graph using Graph-based Ranking Algorithms
S M Rafiuddin
Ranking words is an important way to summarize a text or to retrieve information. A word graph is a way to represent the words of a sentence or a text as the vertices of a graph an…
Performance Analysis of Supervised Machine Learning Algorithms for Text Classification
Sadia Zaman Mishu, S M Rafiuddin
The demand for text classification is growing significantly in web searching, data mining, web ranking, recommendation systems, and so many other fields of information and technolo…
AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis
S M Rafiuddin, Sadia Kamal, Mohammed Rakib +2
We introduce AdaptiSent, a new framework for Multimodal Aspect-Based Sentiment Analysis (MABSA) that uses adaptive cross-modal attention mechanisms to improve sentiment classificat…
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
S M Rafiuddin, Mohammed Rakib, Sadia Kamal +1
Aspect-Based Sentiment Analysis (ABSA) is a fine-grained linguistics problem that entails the extraction of multifaceted aspects, opinions, and sentiments from the given text. Both…