The application of natural language processing (NLP) to financial fields is advancing with an
increase in the number of available financial documents. Transformer-based models such …

Accurately predicting stock prices remains a formidable challenge in financial markets.
Traditional predictive models often aggregate data from multiple companies, failing to …

This paper examines the impact of integrating sentiment data from Twitter with historical
stock prices to enhance stock market prediction accuracy. The study employs a comparative …

Investing in stocks is an important tool for modern financial management, wherein predicting
the next day's close price has become an issue. Social media, natural disasters, news …

Investments in the modern era exhibit a greater range of diversity. In the contemporary
period, advancements in technology have facilitated investors' access to many investment …

Natural language processing (NLP) tools have been applied successfully in improving
predictions in a wide range of research areas. However, what works in one area may not …

抄録 Financial documents are increasing year by year, and natural language processing
(NLP) techniques are widely applied to process these documents. Specifically, Transformer …