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 …

User-generated content on various Internet platforms is growing explosively, and contains
valuable information that helps decision-making. However, extracting this information …

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 …

Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

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

Understanding the sentiment of a comment from a video or an image is an essential task in
many applications. Sentiment analysis of a text can be useful for various decision-making …

Dependency trees have been intensively used with graph neural networks for aspect-based
sentiment classification. Though being effective, such methods rely on external dependency …

Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect
in product reviews. We notice that about 30% of reviews do not contain obvious opinion …

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

There is an increasing demand for sentiment analysis of text from social media which are
mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the …