In aspect-level sentiment classification (ASC), it is prevalent to equip dominant neural
models with attention mechanisms, for the sake of acquiring the importance of each context …

In aspect-based sentiment analysis (ABSA), many neural models are equipped with an
attention mechanism to quantify the contribution of each context word to sentiment …

Sentiment categorization at the aspect level tries to provide fine-grained sentiment polarities
for distinct aspects inside a sentence. Some issues remain unresolved in the previous work …

In text classification, the traditional attention mechanisms usually focus too much on frequent
words, and need extensive labeled data in order to learn. This article proposes a …

Topic classification is an important problem in an online social network (OSN). Many recent
works on convolutional neural network (CNN) machine learning (ML) algorithms for topic …

In this paper, the aim is to develop a solution to help the breast cancer initiatives in
achieving their goal in Saudi Arabia by building a system using a Natural Language …