Before revision: Aspect-term level sentiment analysis (ATSA) is a fine-grained task in sentiment classification. It aims at extracting and summarizing the sentiment polarity towards a given aspect phrase from a sentence. Most existing studies combined various neural network models with a delicately carved attention mechanism to generate refined representations of sentences for better predictions.
After revision: Aspect-term level sentiment analysis (ATSA) approaches combined various neural network models with a delicately carved attention mechanism to generate refined representations of sentences for better predictions.