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Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework
16 references·2 citing·50 second hop
Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework (2020)Incorporating Expert-Based Investment Opi…Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction (2017)Listening to Chaotic Whispers…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Emergent: a novel data-set for stance classification (2016)Emergent: a novel data-set fo…Deep learning for event-driven stock prediction (2015)Deep learning for event-drive…Using Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)Using Structured Events to Pr…The effect of news and public mood on stock movements (2014)The effect of news and public…Exploiting Social Relations and Sentiment for Stock Prediction (2014)Exploiting Social Relations a…Semantic Frames to Predict Stock Price Movement (2013)Semantic Frames to Predict St…Exploiting Topic based Twitter Sentiment for Stock Prediction (2013)Exploiting Topic based Twitte…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Stock index forecasting based on a hybrid model (2011)Stock index forecasting based…Identifying and Following Expert Investors in Stock Microblogs (2011)Identifying and Following Exp…Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Giving Content to Investor Se…Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Giving Content to Investor Se…Measuring nominal scale agreement among many raters. (1971)Measuring nominal scale agree…The Behavior of Stock-Market Prices (1965)The Behavior of Stock-Market …Hybrid Information Mixing Module for Stock Movement Prediction (2023)Hybrid Information Mixing Mod…Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets (2022)Accurate Stock Movement Predi…Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. (1968)The Measurement of Observer Agreement for Categorical Data (1977)Is the CVI an acceptable indicator of content validity? 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References

  • 1971Measuring nominal scale agreement among many raters.8,717 cited
  • 1965The Behavior of Stock-Market Prices8,707 cited
  • 2011Twitter mood predicts the stock market5,204 cited
  • 2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market4,822 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2015Deep learning for event-driven stock prediction675 cited
  • 2011Stock index forecasting based on a hybrid model377 cited
  • 2016Emergent: a novel data-set for stance classification360 cited
  • 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation283 cited
  • 2014The effect of news and public mood on stock movements255 cited
  • 2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market244 cited
  • 2013Exploiting Topic based Twitter Sentiment for Stock Prediction210 cited
  • 2011Identifying and Following Expert Investors in Stock Microblogs122 cited
  • 2014Exploiting Social Relations and Sentiment for Stock Prediction112 cited
  • 2013Semantic Frames to Predict Stock Price Movement96 cited

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  • 2017Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction91 cited
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    • 2023Hybrid Information Mixing Module for Stock Movement Prediction45 cited
    • 2022Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets40 cited