Aspect Oriented Opinion Extraction

Aspect-oriented Opinion Extraction is a subtask in the field of Natural Language Processing that focuses on extracting opinion word pairs corresponding to given aspect terms from sentences. This task aims to accurately identify and pair aspect terms with opinion words to uncover sentiment tendencies and viewpoints in the text. Through fine-grained sentiment analysis, it offers application value such as customer feedback analysis and product review mining for businesses, aiding in decision optimization and service improvement.