Aspect-level sentiment analysis (ALSA) is the process of collecting, processing, analyzing,
inferring, and synthesizing subjective sentiments of entities contained in texts at the aspect …

As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

Abstract Aspect-based Sentiment Analysis (ABSA) aims to predict the sentiment polarity
towards a particular aspect in a sentence. Recently, graph neural networks based on …

Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To
better comprehend long complicated sentences and obtain accurate aspect-specific …

Syntactic information, especially dependency trees, has been widely used by existing
studies to improve relation extraction with better semantic guidance for analyzing the context …

Aspect-based sentiment analysis (ABSA) endeavours predict the sentiment polarity of
specific aspects of a given review. Recently, prompt tuning has been widely explored and …

Aspect-based sentiment analysis (ABSA) aims to mine multiple sentiment–target pairs
contained in a review sentence. The main challenge of this task is how to extract the …

Aspect-based sentiment analysis aims to determine sentiment polarities toward specific
aspect terms within the same sentence or document. Most recent studies adopted attention …

Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towards a specific
aspect in the given sentence. While pre-trained language models such as BERT have …