Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) is a sub-task in natural language processing aimed at extracting the target entity, its associated sentiment, and the opinion phrase expressing that sentiment from text to form triplets. This task helps to gain a deeper understanding of users' genuine attitudes towards specific objects, providing significant support for areas such as sentiment analysis, opinion mining, and customer feedback processing.