Extract Aspect Polarity Tuple

Extracting aspect-polarity tuples is an important task in natural language processing, aiming to extract specific opinions or sentiments towards aspects from text. This task identifies and analyzes the sentiment orientation in the text to help systems understand users' evaluations of different aspects specifically. Its goal is to accurately locate the aspect terms and their corresponding sentiment polarities, providing fine-grained data support for sentiment analysis. In fields such as business intelligence, market research, and product optimization, extracting aspect-polarity tuples can effectively enhance the accuracy and efficiency of decision-making.