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Exploiting Topic based Twitter Sentiment for Stock Prediction
3 references·16 citing·43 second hop
Exploiting Topic based Twitter Sentiment for Stock Prediction (2013)Exploiting Topic based Twitter Sentiment …Correlating financial time series with micro-blogging activity (2012)Correlating financial time se…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Textual analysis of stock market prediction using breaking financial news (2009)Textual analysis of stock mar…Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph Via Dual Attention Networks (2022)Stock Movement Prediction Bas…Investment Behaviors Can Tell What Inside (2019)Investment Behaviors Can Tell…A local and global event sentiment based efficient stock exchange forecasting using deep learning (2019)A local and global event sent…Stock market response to information diffusion through internet sources: A literature review (2018)Stock market response to info…Stock Market Prediction via Multi-Source Multiple Instance Learning (2018)Stock Market Prediction via M…Public Mood–Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management (2018)Public Mood–Driven Asset Allo…Leveraging social media news to predict stock index movement using RNN-boost (2018)Leveraging social media news …Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders (2018)Bitcoin Volatility Forecastin…Time-Weighted LSTM Model with Redefined Labeling for Stock Trend Prediction (2017)Time-Weighted LSTM Model with…Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction (2017)Listening to Chaotic Whispers…Improving stock market prediction via heterogeneous information fusion (2017)Improving stock market predic…A novel data-driven stock price trend prediction system (2017)A novel data-driven stock pri…Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks (2016)Leverage Financial News to Pr…Predicting movie Box-office revenues by exploiting large-scale social media content (2014)Predicting movie Box-office r…Nowcasting the Bitcoin Market with Twitter Signals (2014)Nowcasting the Bitcoin Market…Exploiting Social Relations and Sentiment for Stock Prediction (2014)Exploiting Social Relations a…The Behavior of Stock-Market Prices (1965)A Random Walk Down Wall Street (1973)Application of support vector machines in financial time series forecasting (2001)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)Applications of deep learning in stock market prediction: Recent progress (2021)Information credibility on twitter (2011)Social signals and algorithmic trading of Bitcoin (2015)Deep learning for stock market prediction from financial news articles (2017)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016)Text as Data (2019)Hierarchical structure in financial markets (1999)The five competitive forces that shape strategy. (2008)A New Model for Stock Price Movements Prediction Using Deep Neural Network (2017)Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments (2020)Forecasting with artificial neural networks: (1998)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Lagged correlation-based deep learning for directional trend change prediction in financial time series (2018)Predicting the Effects of News Sentiments on the Stock Market (2018)Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models (2021)Common risk factors in the returns on stocks and bonds (1993)Stock Market Prediction Using Optimized Deep-ConvLSTM Model (2020)How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda (2022)Multi-source aggregated classification for stock price movement prediction (2022)The Adjustment of Stock Prices to New Information (1969)Efficient Capital Markets: II (1991)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 (2020)Stock-Price Forecasting Based on XGBoost and LSTM (2021)A stock price prediction method based on meta-learning and variational mode decomposition (2022)Deep learning for event-driven stock prediction (2015)A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction (2021)Forecasting Stock Market Indices Using Padding-Based Fourier Transform Denoising and Time Series Deep Learning Models (2021)Stock market prediction based on statistical data using machine learning algorithms (2022)Designing a neural network for forecasting financial and economic time series (1996)How effective are neural networks at forecasting and prediction? 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References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 2009Textual analysis of stock market prediction using breaking financial news777 cited
  • 2012Correlating financial time series with micro-blogging activity274 cited

Cited by

  • 2017Improving stock market prediction via heterogeneous information fusion205 cited
  • 2019A local and global event sentiment based efficient stock exchange forecasting using deep learning178 cited
  • 2017A novel data-driven stock price trend prediction system159 cited
  • 2018Stock Market Prediction via Multi-Source Multiple Instance Learning152 cited
  • 2018Leveraging social media news to predict stock index movement using RNN-boost113 cited
  • 2014Exploiting Social Relations and Sentiment for Stock Prediction112 cited
  • 2016Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks91 cited
  • 2017Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction91 cited
  • 2018Public Mood–Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management86 cited
  • 2018Stock market response to information diffusion through internet sources: A literature review82 cited
  • 2014Nowcasting the Bitcoin Market with Twitter Signals

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81 cited
  • 2022Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph Via Dual Attention Networks79 cited
  • 2014Predicting movie Box-office revenues by exploiting large-scale social media content78 cited
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  • 2018Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders69 cited
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