Researchers and practitioners have attempted to predict the financial market by analyzing
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …

In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable
advancements and have been applied in diverse fields. Built on the Transformer …

Stocks price prediction is a current hot spot with great promise and challenges. Recently,
there have been many stock price prediction methods. However, the prediction accuracy of …

The stock market is highly volatile as it depends on political, financial, environmental, and
various internal and external factors along with historical stock data. Such information is …

Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …

Sentiment analysis was nominated as a hot research topic a decade ago for its increasing
importance in analyzing the people's opinions extracted from social media platforms …

Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …

Stock market trading is an activity in which investors need fast and accurate information to
make effective decisions. Since many stocks are traded on a stock exchange, numerous …

This study explores the initial impact of COVID-19 sentiment on US stock market using big
data. Using the Daily News Sentiment Index (DNSI) and Google Trends data on coronavirus …

Recent advances in machine learning are finding commercial applications across many
industries, not least the finance industry. This paper focuses on applications in one of the …