SetFitABSA: Few-Shot Aspect Based Sentiment Analysis using SetFit

SetFitABSA introduces a few-shot learning approach for aspect-based sentiment analysis (ABSA) leveraging the SetFit framework. It utilizes a pre-trained sentence transformer model with a compact architecture, achieving state-of-the-art performance on several ABSA benchmarks with minimal labeled data. This method is significant for practitioners as it reduces the data requirement for training sentiment analysis models, making it easier to deploy in low-resource scenarios.