Abstract: This research introduces a high-precision sentiment analysis framework tailored for global stock market news, integrating transformer-based financial NLP models with event-aware and temporal ...

Stablecoin Insider today announced the release of its "2025 Stablecoin Year-End Report," a comprehensive analysis detailing the structural shift of stablecoins from speculative trading tools to ...

Department of Digital Technologies and Information Science, Dar es Salaam Tumaini University, Dar es Salaam, Tanzania. The increasing complexity of financial statements, which encompass both ...

Deep Learning-Based Financial Sentiment Analysis (DLBFSA) is a deep learning algorithm that analyzes financial news and social media to gauge market sentiment and make informed trading decisions.

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Understanding what the markets will do before the competition realizes the same thing is a cornerstone of success in the financial services industry. While talented market watchers rely on their own ...

1 Department of Health Data Science and Biostatistics, University of Texas Southwestern Medical Center, Dallas, TX, United States 2 Department of Bioinformatics, University of Texas Southwestern ...

The analysis pipeline was implemented using Python’s Natural Language Toolkit, Gensim, and scikit-learn libraries, with hyperparameter tuning to maximize model performance. Results: Sentiment analysis ...