Stock market prediction with transductive long short-term memory and social media sentiment analysis
A Peivandizadeh, S Hatami, A Nakhjavani… - IEEE …, 2024 - ieeexplore.ieee.org
In an era dominated by digital communication, the vast amounts of data generated from
social media and financial markets present unique opportunities and challenges for …
social media and financial markets present unique opportunities and challenges for …
[PDF][PDF] An evaluation of reasoning capabilities of large language models in financial sentiment analysis
Large Language Models (LLMs) have garnered significant attention within the academic
community due to their advanced capabilities in natural language understanding and …
community due to their advanced capabilities in natural language understanding and …
[PDF][PDF] A dynamic dual-graph neural network for stock price movement prediction
The prediction of stock price movements is challenging due to the inherently dynamic and
complex characteristics of financial markets. A current research gap is the lack of exploration …
complex characteristics of financial markets. A current research gap is the lack of exploration …
EFSA: Towards Event-Level Financial Sentiment Analysis
T Chen, Y Zhang, G Yu, D Zhang, L Zeng, Q He… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we extend financial sentiment analysis~(FSA) to event-level since events
usually serve as the subject of the sentiment in financial text. Though extracting events from …
usually serve as the subject of the sentiment in financial text. Though extracting events from …
The Economic Value of Words: an Evaluation of News for Economic Analysis
In this study, we use various extraction techniques to analyze the polarity of economic topics
sourced from Mexican news outlets. For this, we constructed a comprehensive daily dataset …
sourced from Mexican news outlets. For this, we constructed a comprehensive daily dataset …