With the progress in natural language processing and machine learning, using deep learning techniques to extract valuable information from financial texts has gained popularity among researchers. However, as deep learning models require large amounts of labelled data, current models for...

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 GNNs in conjunction with sentiment analysis for stock prediction. This study introduces the fundamental concepts...