Aspect Category Polarity

Aspect Category Polarity is an important task in natural language processing aimed at identifying and classifying the sentiment polarity of specific aspects in text. This task analyzes words and expressions related to different aspects in the text to determine their positive, negative, or neutral emotional tendencies, thereby providing a more fine-grained understanding for sentiment analysis. It has significant application value in areas such as product review analysis, public opinion monitoring, and user feedback processing, enabling companies to accurately grasp users' specific attitudes towards various aspects of products or services, thus optimizing the decision-making process.