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

Existing aspect-based/category sentiment analysis methods have shown great success in
detecting sentiment polarity toward a given aspect in a sentence with supervised learning …

Aspect-based sentiment analysis assists service providers to better understand users'
opinions expressed in massive amounts of online posts, because it automatically infers …

The goal of aspect-category sentiment analysis (ACSA) is to predict the sentiment polarity
toward a specific aspect category from reviewers' expressed opinions in a sentence. With …

Multi-label aspect category detection allows a given review sentence to contain multiple
aspect categories, which is shown to be more practical in sentiment analysis and attracting …

Abstract Aspect Category Sentiment Analysis (ACSA) involves identifying sentiment
categories for specific aspects of a sentence. Despite the progress made in pre-trained …

The purpose of aspect-category sentiment classification (ACSC) is to determine the
sentiment polarity of the predefined aspect category from the texts. Current methods for …

Aspect category sentiment classification (ACSC) aims to determine the sentiment polarities
of sentences under given aspect categories, which can be used to infer finer-grained …

In this paper, we investigate the Aspect Category Sentiment Analysis (ACSA) task from a
novel perspective by exploring a Beta Distribution guided aspect-aware graph construction …

Aspect-based sentiment analysis (ABSA) plays an indispensable role in web mining and
retrieval system as it involves a wide range of tasks, including aspect term extraction …