Text classification has been widely explored in natural language processing. In this article,
we propose a novel adaptive dense ensemble model (AdaDEM) for text classification, which …

With the continuous expansion of the field of natural language processing, researchers have
found that there is a phenomenon of imbalanced data distribution in some practical …

Imbalanced issue becomes one of major bottleneck for further popularizing of emotion
recognition in actual applications. Recently, some resampling methods have been proposed …

This paper tries to improve the performance of imbalanced comment texts sentiment
analysis by combining deep learning and class imbalanced learning methods. A sentiment …

As an essential category of public event management and control, sentiment analysis of
online public opinion text plays a vital role in public opinion early warning, network rumor …