Sentiment analysis is a process of analyzing, processing, concluding, and inferencing
subjective texts with the sentiment. Companies use sentiment analysis for understanding …

Deep learning approaches have achieved great success in the field of Natural Language
Processing (NLP). However, directly training deep neural models often suffer from overfitting …

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 …

Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to
detection the sentiment polarity towards a given aspect. Recently, graph neural models over …

Aspect-based sentiment analysis (ABSA) has received increasing attention recently. Most
existing work tackles ABSA in a discriminative manner, designing various task-specific …

Product reviews contain a large number of implicit aspects and implicit opinions. However,
most of the existing studies in aspect-based sentiment analysis ignored this problem. In this …

Aspect-based sentiment analysis (ABSA) has been extensively studied in recent years,
which typically involves four fundamental sentiment elements, including the aspect category …

Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs
triplets of an aspect target, its associated sentiment, and the corresponding opinion term …

Aspect based sentiment analysis (ABSA) involves three fundamental subtasks: aspect term
extraction, opinion term extraction, and aspect-level sentiment classification. Early works …

Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to
addressing various sentiment analysis tasks at a fine-grained level, which includes but is not …