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 …

Aspect-based sentiment analysis (ABSA) aims to identify views and sentiment polarities
towards a given aspect in reviews. Compared with general sentiment analysis, ABSA can …

Aspect-based sentiment analysis (ABSA) plays an indispensable role in web mining and
retrieval system as it involves a wide range of tasks, including aspect term extraction …

Social media has become indispensable to people's lives, where they can share their views
and emotion with images and texts. Analyzing social images for sentiment prediction can …

Falls are among the most life-threatening events that challenge senior citizens' independent
living. Wearable sensor technologies have emerged as a viable solution for fall detection …

Existing feature-based neural approaches for aspect-based sentiment analysis (ABSA) try to
improve their performance with pre-trained word embeddings and by modeling the relations …

Convolutional neural networks (CNN) and long short-term memory (LSTM) have gained
wide recognition in the field of natural language processing. However, due to the pre-and …

There are many ways to collect the product review, either by using a website or by manually
asking the customers to leave their comments after buying the product. The traditional …

In recent years, with the development of social networks, sentiment analysis has become
one of the most important research topics in the field of natural language processing. The …

In the process of air combat intention identification, expert experience and traditional
algorithm are relied on to analyze enemy aircraft combat intention in a single moment, but …