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 ...
Abstract: Financial sentiment analysis plays a crucial role in interpreting market sentiment from textual data, significantly influencing financial decision-making and forecasting. A common challenge ...
This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...
Fine-tuning BERT for financial sentiment analysis across multiple datasets. Achieves 86% accuracy on professional news, exploring domain adaptation challenges. A symbolic benchmark for verifiable ...
Introduction: The launch of DeepSeek, a Chinese open-source generative AI model, generated substantial discussion regarding its capabilities and implications. The r/deepseek subreddit emerged as a key ...
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