With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …

The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …

Deep learning has unlocked new paths towards the emulation of the peculiarly-human
capability of learning from examples. While this kind of bottom-up learning works well for …

Long short-term memory (LSTM) neural networks and attention mechanism have been
widely used in sentiment representation learning and detection of texts. However, most of …

To provide explainable and accurate aspect terms and the corresponding aspect–sentiment
detection, it is often useful to take external domain-specific knowledge into consideration. In …

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

There are a lot of linguistic knowledge and sentiment resources nowadays, but in the current
research with deep learning framework, these kinds of unique sentiment information are not …

Abstract Aspect-based Sentiment Analysis (ABSA) aims to predict the sentiment polarity
towards a particular aspect in a sentence. Recently, graph neural networks based on …

Abstract Aspect-based Sentiment Analysis (ABSA) is a crucial natural language
understanding (NLU) research field which aims to accurately recognize reviewers' opinions …

As a fundamental task of sentiment analysis, aspect-level sentiment analysis aims to identify
the sentiment polarity of a specific aspect in the context. Previous work on aspect-level …