9 citations · 15 across the 9 of their papers we have counts for
9 papers
Optimizing What We Trust: Reliability-Guided QUBO Selection of Multi-Agent Weak Framing Signals for Arabic Sentiment Prediction
Rabab Alkhalifa
Framing detection in Arabic social media is difficult due to interpretive ambiguity, cultural grounding, and limited reliable supervision. Existing LLM-based weak supervision metho…
A Comparative Review of Parallel Exact, Heuristic, Metaheuristic, and Hybrid Optimization Techniques for the Traveling Salesman Problem
Rabab Alkhalifa, Fatima Alkhomayes, Boushra Almazroua +3
The Traveling Salesman Problem (TSP) is a well-known NP-hard combinatorial optimization problem with wide-ranging applications in logistics, routing, and intelligent systems. Due t…
Building for Tomorrow: Assessing the Temporal Persistence of Text Classifiers
Rabab Alkhalifa, Elena Kochkina, Arkaitz Zubiaga
Performance of text classification models tends to drop over time due to changes in data, which limits the lifetime of a pretrained model. Therefore an ability to predict a model's…
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions
Rabab Alkhalifa, Arkaitz Zubiaga
Social media platforms provide a goldmine for mining public opinion on issues of wide societal interest and impact. Opinion mining is a problem that can be operationalised by captu…
Opinions are Made to be Changed: Temporally Adaptive Stance Classification
Rabab Alkhalifa, Elena Kochkina, Arkaitz Zubiaga
Given the rapidly evolving nature of social media and people's views, word usage changes over time. Consequently, the performance of a classifier trained on old textual data can dr…
The emojification of sentiment on social media: Collection and analysis of a longitudinal Twitter sentiment dataset
Wenjie Yin, Rabab Alkhalifa, Arkaitz Zubiaga
Social media, as a means for computer-mediated communication, has been extensively used to study the sentiment expressed by users around events or topics. There is however a gap in…