Sentiment analysis, a transformative force in natural language processing, revolutionizes
diverse fields such as business, social media, healthcare, and disaster response. This …

There has been significant interest in integrating sentiment analysis with graph neural
networks (GNNs) for stock prediction tasks. This article thoroughly reviews the application of …

Social media has been embraced by different people as a convenient and official medium of
communication. People write or share messages and attach images and videos on Twitter …

Sentiment analysis (SA) is also known as opinion mining, it is the process of gathering and
analyzing people's opinions about a particular service, good, or company on websites like …

Implicit sentiment identification has become the classic challenge in text mining due to its
lack of sentiment words. Recently, graph neural network (GNN) has made great progress in …

Sentiment-aware intelligent systems are essential to a wide array of applications. These
systems are driven by language models which broadly fall into two paradigms: Lexicon …

Despite the Graph Neural Networks'(GNNs) pro-ficiency in analyzing graph data, achieving
high-accuracy and interpretable predictions remains challenging. Existing GNN interpreters …

Glaucoma is defined as an eye disease leading to vision loss due to the optic nerve
damage. It is often asymptomatic, thus, timely diagnosis and treatment is crucial. In this …

Facts are descriptive user reviews on a specific entity. A number of facts, which contain
indirect opinions are called implicit opinions. This study aims to find the word opinion that is …

Sentiment analysis, a method used to classify textual content into positive, negative, or
neutral sentiments, is commonly applied to data from social media platforms. Arabic, an …