The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Abstract Machine learning has become the state-of-the-art technique for many tasks
including computer vision, natural language processing, speech processing tasks, etc …

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

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims
to align aspects and corresponding sentiments for aspect-specific sentiment polarity …

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 (ABSA) aims to identify aspect terms in online reviews and
predict their corresponding sentiment polarity. Sentiment analysis poses a challenging fine …

The goal of aspect-based sentiment classification (ASC) is to predict the corresponding
emotion of a specific target of a sentence. In neural network-based methods for ASC, various …

Prompt-based learning, with its capability to tackle zero-shot and few-shot NLP tasks, has
gained much attention in community. The main idea is to bridge the gap between NLP …

Although neural models have achieved competitive results in dialogue systems, they have
shown limited ability in representing core semantics, such as ignoring important entities. To …

Topic-based communities have gradually become a considerable medium for netizens to
disseminate and acquire knowledge. These communities consist of entities (actual objects …