文本情感分析是自然语言处理领域的一个重要分支, 广泛应用于舆情分析和内容推荐等方面,
是近年来的研究热点. 根据使用的不同方法, 将其划分为基于情感词典的情感分析方法 …

In this paper, we investigate the modeling power of contextualized embeddings from pre-
trained language models, eg BERT, on the E2E-ABSA task. Specifically, we build a series of …

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 (ABSA) and Targeted ASBA (TABSA) allow finer-grained
inferences about sentiment to be drawn from the same text, depending on context. For …

Aspect based sentiment analysis, predicting sentiment polarity of given aspects, has drawn
extensive attention. Previous attention-based models emphasize using aspect semantics to …

Aspect-based sentiment analysis (ABSA) has captured great attention from researchers and
industrialists owing to their pulverized nature of sentiment analysis task and the goal to …

The deep learning methods based on syntactic dependency tree have achieved great
success on Aspect-based Sentiment Analysis (ABSA). However, the accuracy of the …

Aspect-level sentiment analysis aims to determine the sentiment polarity towards a specific
target in a sentence. The main challenge of this task is to effectively model the relation …

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 …

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 …