March 5, 2024, 2:42 p.m. | Ziyuan Ma, Conor Ryan, Jim Buckley, Muslim Chochlov

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.00772v1 Announce Type: cross
Abstract: Sentiment analysis can be used for stock market prediction. However, existing research has not studied the impact of a user's financial background on sentiment-based forecasting of the stock market using artificial neural networks. In this work, a novel combination of neural networks is used for the assessment of sentiment-based stock market prediction, based on the financial background of the population that generated the sentiment. The state-of-the-art language processing model Bidirectional Encoder Representations from Transformers (BERT) …

abstract analysis artificial artificial neural networks arxiv combination cs.ai cs.lg cs.si experts financial forecasting impact market networks neural networks novel platform prediction q-fin.st research sentiment sentiment analysis stock type weibo work

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