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Stock Prices Prediction using the Title of Newspaper Articles with Korean Natural Language Processing
8 references·3 citing·44 second hop
Stock Prices Prediction using the Title of Newspaper Articles with Korean Natural Language Processing (2019)Stock Prices Prediction using the Title o…Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…Deep learning for event-driven stock prediction (2015)Deep learning for event-drive…Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Comparison of ARIMA and Artif…Prediction-based portfolio optimization model using neural networks (2009)Prediction-based portfolio op…Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest (2006)Forecasting Stock Index Movem…Stock Market Forecasting: Artificial Neural Network and Linear Regression Comparison in An Emerging Market (2005)Stock Market Forecasting: Art…Support vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine with a…Financial time series forecasting using support vector machines (2003)Financial time series forecas…A Review of Sentiment, Semantic and Event-Extraction-Based Approaches in Stock Forecasting (2022)A Review of Sentiment, Semant…News sensitive stock market prediction: literature review and suggestions (2021)News sensitive stock market p…COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction (2021)COVID19-HPSMP: COVID-19 adopt…Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)Stock index forecasting based on a hybrid model (2011)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)A systematic review of fundamental and technical analysis of stock market predictions (2019)Temporal Relational Ranking for Stock Prediction (2019)Application of support vector machines in financial time series forecasting (2001)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)BUSINESS RESEARCH METHODS (PHƯƠNG PHÁP NGHIÊN CỨU TRONG KINH DOANH) (2023)PORTFOLIO SELECTION* (1952)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Book Review: Time Series Analysis: Forecasting and Control (1977)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Recurrent neural network and a hybrid model for prediction of stock returns (2014)Portfolio optimization with return prediction using deep learning and machine learning (2020)A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)Designing a neural network for forecasting financial and economic time series (1996)Financial time series forecasting using independent component analysis and support vector regression (2009)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Financial time series forecasting with multi-modality graph neural network (2021)Dividend yields and expected stock returns (1988)Business conditions and expected returns on stocks and bonds (1989)The Cross-Section of Expected Stock Returns (1992)Evaluating multiple classifiers for stock price direction prediction (2015)Stock Closing Price Prediction using Machine Learning Techniques (2020)The Behavior of Stock-Market Prices (1965)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Twitter mood predicts the stock market (2011)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)A Random Walk Down Wall Street (1973)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Another look at measures of forecast accuracy (2006)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Market efficiency, long-term returns, and behavioral finance1The comments of Brad Barber, David Hirshleifer, S.P. Kothari, Owen Lamont, Mark Mitchell, Hersh Shefrin, Robert Shiller, Rex Sinquefield, Richard Thaler, Theo Vermaelen, Robert Vishny, Ivo Welch, and a referee have been helpful. Kenneth French and Jay Ritter get special thanks.1 (1998)Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns (2020)Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI (2023)An Advisor Neural Network framework using LSTM-based Informative Stock Analysis (2024)Prediction of athletes performance using neural networks: An application in cricket team selection (2008)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Machine learning techniques and data for stock market forecasting: A literature review (2022)
this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,746 cited
  • 2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
  • 2017Stock market's price movement prediction with LSTM neural networks986 cited
  • 2015Deep learning for event-driven stock prediction686 cited
  • 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction592 cited
  • 2006Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest244 cited
  • 2009Prediction-based portfolio optimization model using neural networks171 cited
  • 2005Stock Market Forecasting: Artificial Neural Network and Linear Regression Comparison in An Emerging Market65 cited

Cited by

  • 2021COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction29 cited
  • 2021News sensitive stock market prediction: literature review and suggestions27 cited
  • 2022A Review of Sentiment, Semantic and Event-Extraction-Based Approaches in Stock Forecasting24 cited

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