Few-Shot Stance Detection

Few-Shot Stance Detection is a crucial technique in the field of natural language processing, aimed at training models to identify attitudes or stances towards specific topics with only a small number of samples. Its objective is to achieve efficient and accurate stance detection in data-scarce scenarios, thereby enhancing the model's generalization and practicality. This technology is widely applied in public opinion analysis, sentiment mining, and social media monitoring, and it holds significant value for rapidly responding to emerging topics.