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 increasing volume of user-generated content on the web has made sentiment analysis
an important tool for the extraction of information about the human emotional state. A current …

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 …

Due to their inherent capability in semantic alignment of aspects and their context words,
attention mechanism and Convolutional Neural Networks (CNNs) are widely applied for …

The state-of-the-art methods in aspect-level sentiment classification have leveraged the
graph based models to incorporate the syntactic structure of a sentence. While being …

Product reviews contain a large number of implicit aspects and implicit opinions. However,
most of the existing studies in aspect-based sentiment analysis ignored this problem. In this …

Research on machine assisted text analysis follows the rapid development of digital media,
and sentiment analysis is among the prevalent applications. Traditional sentiment analysis …

Aspect-based sentiment classification is a popular task aimed at identifying the
corresponding emotion of a specific aspect. One sentence may contain various sentiments …

We propose a novel multi-grained attention network (MGAN) model for aspect level
sentiment classification. Existing approaches mostly adopt coarse-grained attention …

Aspect-level sentiment classification aims at identifying the sentiment polarity of specific
target in its context. Previous approaches have realized the importance of targets in …