Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

Featured Application The paper presents application of natural language processing
techniques on accountant left comments to identify potentially irregular financial operations …

The now-globally recognized concerns of AI's environmental implications resulted in a
growing awareness of the need to reduce AI carbon footprints, as well as to carry out AI …

Annual reports are the corporate documents companies publish every year. These
documents contain crucial company performance information and are often analyzed …

This thesis investigates the application of sentiment analysis in predicting stock returns for
the companies listed in the OMXS30 index. The recent development of large language …

L'apprentissage profond est un outil prometteur pour détecter les menaces et les contenus
toxiques sur les plateformes en ligne. Ses capacités d'apprentissage automatique …

Stock price prediction with sentiment scores of financial news – an experiment with LSTM time
series model University of York Page 1 Stock price prediction with sentiment scores of financial …