yhua219/EduRABSA_SLM_v1_SLERP_phi4mini

The yhua219/EduRABSA_SLM_v1_SLERP_phi4mini model, developed by Yan Cathy Hua et al., is a fine-tuned small language model (SLM) based on the Phi4-mini-instruct architecture. It is specifically designed for resource-efficient opinion mining on education-domain reviews, such as student course evaluations. This model excels at multi-task Aspect-based Sentiment Analysis (ABSA), performing tasks like Opinion Extraction and Aspect-Sentiment Triplet Extraction.