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Deep learning for financial sentiment analysis on finance news providers
7 references·11 citing·55 second hop
Deep learning for financial sentiment analysis on finance news providers (2016)Deep learning for financial sentiment ana…The effect of news and public mood on stock movements (2014)The effect of news and public…When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)When Is a Liability Not a Lia…Forecasting Intraday stock price trends with text mining techniques (2004)Forecasting Intraday stock pr…News or Noise? Internet Postings and Stock Prices (2001)News or Noise? Internet Posti…Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales (2001)Document Warehousing and Text…Systems Development in Information Systems Research (1990)Systems Development in Inform…Financial statement analysis and the prediction of stock returns (1989)Financial statement analysis …Data-Driven Policy Making Framework Utilizing TOWS Analysis (2025)Data-Driven Policy Making Fra…Deep reinforcement learning for financial trading using multi-modal features (2023)Deep reinforcement learning f…Natural Language Processing for Exploring Culture in Finance: Theory and Applications (2022)Natural Language Processing f…Deep learning in the stock market—a systematic survey of practice, backtesting, and applications (2022)Deep learning in the stock ma…Review of Data Science and AI in Finance (2021)Review of Data Science and AI…Research on a hybrid prediction model for stock price based on long short-term memory and variational mode decomposition (2021)Research on a hybrid predicti…Data-driven approaches in FinTech: a survey (2021)Data-driven approaches in Fin…Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane (2020)Predicting stock price trends…Fusion of EEG response and sentiment analysis of products review to predict customer satisfaction (2018)Fusion of EEG response and se…An investor sentiment reward-based trading system using Gaussian inverse reinforcement learning algorithm (2018)An investor sentiment reward-…A Stock Market Trading System Using Deep Neural Network (2017)A Stock Market Trading System…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Noise Trader Risk in Financial Markets (1990)Improving stock market prediction via heterogeneous information fusion (2017)Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine Learning (2019)A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News (2020)Using daily stock returns (1985)The Econometrics of Financial Markets (1997)Does Chatter Matter? 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References

  • 2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks6,003 cited
  • 1990Systems Development in Information Systems Research1,215 cited
  • 1989Financial statement analysis and the prediction of stock returns996 cited
  • 2001News or Noise? Internet Postings and Stock Prices403 cited
  • 2004Forecasting Intraday stock price trends with text mining techniques266 cited
  • 2014The effect of news and public mood on stock movements255 cited
  • 2001Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales116 cited

Cited by

  • 2018Fusion of EEG response and sentiment analysis of products review to predict customer satisfaction152 cited
  • 2022Deep learning in the stock market—a systematic survey of practice, backtesting, and applications139 cited
  • 2020Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane96 cited
  • 2017A Stock Market Trading System Using Deep Neural Network50 cited
  • 2023Deep reinforcement learning for financial trading using multi-modal features46 cited
  • 2018An investor sentiment reward-based trading system using Gaussian inverse reinforcement learning algorithm42 cited
  • 2021Research on a hybrid prediction model for stock price based on long short-term memory and variational mode decomposition

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37 cited
  • 2021Data-driven approaches in FinTech: a survey21 cited
  • 2021Review of Data Science and AI in Finance13 cited
  • 2022Natural Language Processing for Exploring Culture in Finance: Theory and Applications3 cited
  • 2025Data-Driven Policy Making Framework Utilizing TOWS Analysis2 cited