All in One: An Empirical Study of GPT for Few-Shot Aspect-Based Sentiment Anlaysis

arXiv:2404.06063v1 Announce Type: cross
Abstract: Aspect-Based Sentiment Analysis (ABSA) is an indispensable and highly challenging task in natural language processing. Current efforts have focused on specific sub-tasks, making it difficult to comprehensively cover all sub-tasks within the ABSA domain. With the development of Generative Pre-trained Transformers (GPTs), there came inspiration for a one-stop solution to sentiment analysis. In this study, we used GPTs for all sub-tasks of few-shot ABSA while defining a general learning paradigm for this application. We propose …

abstract analysis arxiv cs.ai cs.cl cs.lg current development domain few-shot generative gpt gpts language language processing making natural natural language natural language processing processing sentiment sentiment analysis study tasks transformers type