A survey on sentiment analysis and its applications
Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …
Facebook, and Instagram has become a very important task at present. Analyzing the …
A survey of large language models for financial applications: Progress, prospects and challenges
Recent advances in large language models (LLMs) have unlocked novel opportunities for
machine learning applications in the financial domain. These models have demonstrated …
machine learning applications in the financial domain. These models have demonstrated …
Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak
Forecasting the stock market is one of the most difficult undertakings in the financial industry
due to its complex, volatile, noisy, and nonparametric character. However, as computer …
due to its complex, volatile, noisy, and nonparametric character. However, as computer …
Survey of Twitter viewpoint on application of drugs by VADER sentiment analysis among distinct countries
Who does not know that Twitter is an august social networking podium now? Here the folks
around the globe are able to establish their viewpoints. Every day, almost 500 million tweets …
around the globe are able to establish their viewpoints. Every day, almost 500 million tweets …
A review of overfitting solutions in smart depression detection models
GK Gupta, DK Sharma - 2022 9th International conference on …, 2022 - ieeexplore.ieee.org
Overfitting is a common issue in machine learning-based depression detection model.
Overfitting occurs when a machine learning model uses garbage data in the training …
Overfitting occurs when a machine learning model uses garbage data in the training …
ML‐Based Interconnected Affecting Factors with Supporting Matrices for Assessment of Risk in Stock Market
In today's world, people study and evaluate trading stocks to make informed decisions,
based on available financial data and market information. Previous researchers relied on …
based on available financial data and market information. Previous researchers relied on …
[HTML][HTML] Improved LSTM hyperparameters alongside sentiment walk-forward validation for time series prediction
This study aims to address the common issue of biased estimation errors in time series
modeling by analyzing the error in locating ideal hyperparameters and defining appropriate …
modeling by analyzing the error in locating ideal hyperparameters and defining appropriate …
Stress detection for cognitive rehabilitation in COVID-19 scenario
Due to the current demand for emerging technologies like the Internet of Things integrated
with machine learning in industry and academics, brain-computer interface tools like …
with machine learning in industry and academics, brain-computer interface tools like …
Effect of Leaders Voice on Financial Market: An Empirical Deep Learning Expedition on NASDAQ, NSE, and Beyond
A Das, T Nandi, P Saha, S Das, S Mukherjee… - arxiv preprint arxiv …, 2024 - arxiv.org
Financial market like the price of stock, share, gold, oil, mutual funds are affected by the
news and posts on social media. In this work deep learning based models are proposed to …
news and posts on social media. In this work deep learning based models are proposed to …
The impact of social media discourse on financial performance of e-commerce companies listed on Borsa Istanbul
This research investigates how changes in public discourse on social media (particularly
Twitter, now X) influence financial performance of companies listed on the e-commerce …
Twitter, now X) influence financial performance of companies listed on the e-commerce …