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Analyzing the growing factor of Financial Markets Using Sentimental Analysis Algorithms
Sentiment analysis algorithms have grown to be increasingly famous within the economic
markets. Those algorithms process consumer-generated facts to expect market moves …
markets. Those algorithms process consumer-generated facts to expect market moves …
Enhanced stock price prediction with optimized ensemble modeling using multi-source heterogeneous data: Integrating LSTM attention mechanism and …
Q Liu, Y Hu, H Liu - Journal of Industrial Information Integration, 2024 - Elsevier
The prediction of stock prices is a complex task due to the influence of various factors, high
noise, and nonlinearity. This paper focuses on addressing the challenges of low prediction …
noise, and nonlinearity. This paper focuses on addressing the challenges of low prediction …
Ensemble Forecasting of Stock Prices using Multidimensional Grey Model and ATT-LSTM with Multi-source Heterogeneous Data
Q Liu, Y Hu, H Liu - IEEE Access, 2024 - ieeexplore.ieee.org
The prediction of stock prices is a complex task due to the influence of various factors, high
noise, and nonlinearity. This paper focuses on addressing the challenges of low prediction …
noise, and nonlinearity. This paper focuses on addressing the challenges of low prediction …
CyberHelp: Sentiment Analysis on Social Media Data Using Deep Belief Network to Predict Suicidal Ideation of Students
Suicide is a very critical and important issue in modern society. Suicide is the third-leading
cause of death for college and high school students. Social media allows students in the …
cause of death for college and high school students. Social media allows students in the …
Long Short-Term Memory optimized with Improved Artificial Rabbits optimization Algorithm for Stock Market Price Prediction
M Almusawi, S Chakraborty… - 2023 International …, 2023 - ieeexplore.ieee.org
The stock market is financial market where stocks of openly listed corporations are bought
and sold. It is needle of economic health of country, reflects the company performance and …
and sold. It is needle of economic health of country, reflects the company performance and …
A novel LASSO-ATT-LSTM model of stock price prediction based on multi-source heterogeneous data
H Li, Y Hu, H Liu - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
Stock price volatility is influenced by many factors, including unstructured data that is not
easy to quantify, such as investor sentiment. Therefore, given the difficulty of quantifying …
easy to quantify, such as investor sentiment. Therefore, given the difficulty of quantifying …
Stock price index prediction based on SSA-BiGRU-GSCV model from the perspective of long memory
Z Mao, C Wu - Kybernetes, 2024 - emerald.com
Purpose Because the dynamic characteristics of the stock market are nonlinear, it is unclear
whether stock prices can be predicted. This paper aims to explore the predictability of the …
whether stock prices can be predicted. This paper aims to explore the predictability of the …
[PDF][PDF] Enhancing Stock Price Prediction in the Indonesian Market: a Concave LSTM Approach with RunReLU
Thisstudyaddressesthepressingneedforimp… price predicfion models in the financial
markets, focusing on the Indonesian stock market. It introduces an inno‐vafive approach that …
markets, focusing on the Indonesian stock market. It introduces an inno‐vafive approach that …
Decoding Financial Markets: Unleashing the Power of Bi-LSTM in Sentiment Analysis for Cutting-Edge Stock Price Prediction
S Aluvala, V Balamurugan, J Jeyasudha… - … Algorithms and Soft …, 2023 - ieeexplore.ieee.org
Predicting stock prices accurately is a challenging task due to various influencing factors.
This paper addresses the need for precise stock price prediction by presenting an enhanced …
This paper addresses the need for precise stock price prediction by presenting an enhanced …