Aspect Category Sentiment Analysis

Aspect Category Sentiment Analysis (ACSA) is a subtask in natural language processing that involves detecting specific aspect categories in text and classifying the sentiment polarity of these categories. This task combines Aspect Category Detection (ACD) and Aspect Category Sentiment Classification (ACSC), aiming to gain a deeper understanding of users' emotional attitudes towards different aspects, providing more granular insights for sentiment analysis. ACSA has significant application value in areas such as product review analysis, customer service feedback, and market research.