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 …

The accurate prediction of stock market movements is a challenging task due to its complex
and dynamic nature. In recent years, machine learning techniques have shown promise in …

Financial markets, such as the stock exchange, are known to be extremely volatile and
sensitive to news published in the media. Using sentiment analysis, as opposed to using …

Stock price prediction is one of the most important aspects of business investment plans,
and has been an attractive research topic for both researchers and financial analysts. Many …

Given the volatility of the stock market and the multitude of financial variables at play,
forecasting the value of stocks can be a challenging task. Nonetheless, such prediction task …

Stock price prediction is a challenging and promising area of research due to the volatile
nature of stock markets influenced by factors like investor sentiment and market rumours …

Stock market prediction is an important factor for any Investor for gaining a maximum return.
But, due to its volatility and uncertainty, the price prediction is challenging for Investors. The …

Predicting financial returns accurately poses a significant challenge due to the inherent
uncertainty in financial time series data. Enhancing prediction models' performance hinges …

Abstract Information gathering has become an integral part of assessing people's behaviors
and actions. The Internet is used as an online learning site for sharing and exchanging …

The stock market serves as a macroeconomic indicator, and stock price forecasting aids
investors in analysing market trends and industry dynamics. Several deep learning network …