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A comparative study on effect of news sentiment on stock price prediction with deep learning architecture
16 references·0 citing·44 second hop
A comparative study on effect of news sentiment on stock price prediction with deep learning architecture (2023)A comparative study on effect of news sen…Predicting stock market index using LSTM (2022)Predicting stock market index…Forecasting stock prices with long-short term memory neural network based on attention mechanism (2020)Forecasting stock prices with…Systematic analysis and review of stock market prediction techniques (2019)Systematic analysis and revie…Stock price prediction based on deep neural networks (2019)Stock price prediction based …Evaluation of bidirectional LSTM for short-and long-term stock market prediction (2018)Evaluation of bidirectional L…Deep Learning with Gated Recurrent Unit Networks for Financial Sequence Predictions (2018)Deep Learning with Gated Recu…Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using …Predicting Stock Prices Using LSTM (2017)Predicting Stock Prices Using…A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Comparison of ARIMA and Artif…A Bayesian regularized artificial neural network for stock market forecasting (2013)A Bayesian regularized artifi…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting direction of stock…A multiple-kernel support vector regression approach for stock market price forecasting (2010)A multiple-kernel support vec…A Century of Stock Market Liquidity and Trading Costs (2002)A Century of Stock Market Liq…Random Walks in Stock Market Prices (1995)Random Walks in Stock Market …Bid, ask and transaction prices in a specialist market with heterogeneously informed traders (1985)Common risk factors in the returns on stocks and bonds (1993)Illiquidity and stock returns: cross-section and time-series effects (2002)Research in emerging markets finance: looking to the future (2002)Flight to Quality, Flight to Liquidity, and the Pricing of Risk (2004)Recent trends in trading activity and market quality (2011)Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)A systematic review of fundamental and technical analysis of stock market predictions (2019)A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)Financial time series forecasting using support vector machines (2003)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)Natural language based financial forecasting: a survey (2017)Textual analysis of stock market prediction using breaking financial news (2009)Twitter mood predicts the stock market (2011)Deep learning-based feature engineering for stock price movement prediction (2018)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)NSE Stock Market Prediction Using Deep-Learning Models (2018)Stock Closing Price Prediction using Machine Learning Techniques (2020)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Time series forecasting using a hybrid ARIMA and neural network model (2003)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Harvesting social media sentiment analysis to enhance stock market prediction using deep learning (2021)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)The Behavior of Stock-Market Prices (1965)Middle‐Status Conformity: Theoretical Restatement and Empirical Demonstration in Two Markets (2001)Text mining for market prediction: A systematic review (2014)Application of support vector machines in financial time series forecasting (2001)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Stock closing price prediction based on sentiment analysis and LSTM (2019)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)
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References

  • 1995Random Walks in Stock Market Prices1,227 cited
  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,096 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market734 cited
  • 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction579 cited
  • 2013A Bayesian regularized artificial neural network for stock market forecasting517 cited
  • 2002A Century of Stock Market Liquidity and Trading Costs484 cited
  • 2019Stock price prediction based on deep neural networks378 cited
  • 2020Forecasting stock prices with long-short term memory neural network based on attention mechanism366 cited
  • 2019Systematic analysis and review of stock market prediction techniques335 cited
  • 2022Predicting stock market index using LSTM314 cited
  • 2018Deep Learning with Gated Recurrent Unit Networks for Financial Sequence Predictions304 cited
  • 2017Predicting Stock Prices Using LSTM269 cited
  • 2018

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Evaluation of bidirectional LSTM for short-and long-term stock market prediction
257 cited
  • 2010A multiple-kernel support vector regression approach for stock market price forecasting255 cited
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