With the expansion of Internet-based applications, the number of comments shows
explosive growth. Analyzing the attitudes and emotions behind comments provides powerful …

Sentiment analysis (SA) aims to understand the attitudes and views of opinion holders with
computers. Previous studies have achieved significant breakthroughs and extensive …

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

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 …

Abstract Aspect Sentiment Triplet Extraction (ASTE) is an emerging sentiment analysis task.
Most of the existing studies focus on devising a new tagging scheme that enables the model …

Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review
sentences along with their corresponding opinion expressions and sentiments, is an …

Generative methods greatly promote aspect-based sentiment analysis via generating a
sequence of sentiment elements in a specified format. However, existing studies usually …

In this paper, we propose to enhance the pair-wise aspect and opinion terms extraction
(PAOTE) task by incorporating rich syntactic knowledge. We first build a syntax fusion …