Text sentiment analysis is an important and challenging task. Sentiment analysis of
customer reviews is a common problem faced by companies. It is a machine learning …

Recently, sentiment analysis has seen remarkable advance with the help of pre-training
approaches. However, sentiment knowledge, such as sentiment words and aspect …

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 …

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

For modeling the 3D world behind 2D images, which 3D representation is most appropriate?
A polygon mesh is a promising candidate for its compactness and geometric properties …

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

Sentiment analysis uses a series of automated cognitive methods to determine the author's
or speaker's attitudes toward an expressed object or text's overall emotional tendencies. In …

Aspect-based sentiment analysis, which aims to predict the sentiment polarities for the given
aspects or targets, is a broad-spectrum and challenging research area. Recently, pre-trained …

Although deep learning breakthroughs in NLP are based on learning distributed word
representations by neural language models, these methods suffer from a classic drawback …

Due to the complex semantics of natural language, the multi-sentiment polarity of words, and
the long-dependence of sentiments between words, the existing sentiment analysis methods …