News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review
MN Ashtiani, B Raahemi - Expert Systems with Applications, 2023 - Elsevier
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 …
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …
Stock price prediction using machine learning and LSTM-based deep learning models
Prediction of stock prices has been an important area of research for a long time. While
supporters of the efficient market hypothesis believe that it is impossible to predict stock …
supporters of the efficient market hypothesis believe that it is impossible to predict stock …
A time series analysis-based stock price prediction using machine learning and deep learning models
S Mehtab, J Sen - International Journal of Business …, 2020 - inderscienceonline.com
Prediction of future movement of stock prices has always been a challenging task for
researchers. While the advocates of the efficient market hypothesis (EMH) believe that it is …
researchers. While the advocates of the efficient market hypothesis (EMH) believe that it is …
Learning-based stock trending prediction by incorporating technical indicators and social media sentiment
Stock trending prediction is a challenging task due to its dynamic and nonlinear
characteristics. With the development of social platform and artificial intelligence (AI) …
characteristics. With the development of social platform and artificial intelligence (AI) …
Forecasting the S&P 500 index using mathematical-based sentiment analysis and deep learning models: a FinBERT transformer model and LSTM
J Kim, HS Kim, SY Choi - Axioms, 2023 - mdpi.com
Stock price prediction has been a subject of significant interest in the financial mathematics
field. Recently, interest in natural language processing models has increased, and among …
field. Recently, interest in natural language processing models has increased, and among …
Analysing the Trend of Stock Marketand Evaluate the performance of Market Prediction using Machine Learning Approach
L Mathanprasad, M Gunasekaran - … Conference on Advances …, 2022 - ieeexplore.ieee.org
The main focus of the research work is to explore the current Stock market data values
based on a real-time data, in which stock market data value fluctuates depends on time. The …
based on a real-time data, in which stock market data value fluctuates depends on time. The …
Sentiment analysis and prediction of Indian stock market amid Covid-19 pandemic
C Gondaliya, A Patel, T Shah - IOP conference series: materials …, 2021 - iopscience.iop.org
Outbreak and spread of the Covid-19 pandemic have touched to the core of our sentiments.
Indian stock market has seen a roller coaster ride so far this year amid the Covid-19 …
Indian stock market has seen a roller coaster ride so far this year amid the Covid-19 …
Stock price prediction using machine learning and LSTM-based deep learning models
J Sen, S Mehtab, A Dutta - Authorea Preprints, 2023 - techrxiv.org
Prediction of stock prices has been an important area of research for a long time. While
supporters of the efficient market hypothesis believe that it is impossible to predict stock …
supporters of the efficient market hypothesis believe that it is impossible to predict stock …
Combining news sentiment and technical analysis to predict stock trend reversal
The use of machine learning techniques to predict the next-day stock direction is
established. To make prediction models more robust, a common approach is to combine …
established. To make prediction models more robust, a common approach is to combine …
Stock market trend forecasting based on multiple textual features: a deep learning method
Stock market trend forecasting is a valuable and challenging research task for both industry
and academia. In order to explore the influence of stock news information on the stock …
and academia. In order to explore the influence of stock news information on the stock …