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Stock market prediction: A big data approach
6 references·5 citing·44 second hop
Stock market prediction: A big data approach (2015)Stock market prediction: A big data appro…Public Sentiment Analysis in Twitter Data for Prediction of a Company's Stock Price Movements (2014)Public Sentiment Analysis in …Social-Network-Sourced Big Data Analytics (2013)Social-Network-Sourced Big Da…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…A Hybrid Machine Learning System For Stock Market Forecasting (2008)A Hybrid Machine Learning Sys…The Efficient Market Hypothesis and Its Critics (2003)The Efficient Market Hypothes…Daily stock market forecast from textual web data (2002)Daily stock market forecast f…Stock Market Analysis Using Linear Regression and Decision Tree Regression (2021)Stock Market Analysis Using L…Data driven finance: A bibliometric review and scientific mapping (2021)Data driven finance: A biblio…Predicting the Unpredictable: An Application of Machine Learning Algorithms in Indian Stock Market (2019)Predicting the Unpredictable:…Stock Market Prediction using Machine Learning Algorithms: A Classification Study (2018)Stock Market Prediction using…Big Data Analytics: A Comparison of Tools and Applications (2018)Big Data Analytics: A Compari…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices (2011)A deep learning based stock trading model with 2-D CNN trend detection (2017)Machine Learning Stock Market Prediction Studies: Review and Research Directions (2020)Twitter power: Tweets as electronic word of mouth (2009)Predicting the Future with Social Media (2010)A novel stock recommendation system using Guba sentiment analysis (2018)Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis (2019)Exploring the Initial Impact of COVID-19 Sentiment on US Stock Market Using Big Data (2020)nanoHUB.org: Advancing Education and Research in Nanotechnology (2008)An overview of business intelligence technology (2011)Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (2011)Handling big data: research challenges and future directions (2016)Managing extracted knowledge from big social media data for business decision making (2017)Big Data Supported PSS Evaluation Decision in Service-Oriented Manufacturing (2020)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Common risk factors in the returns on stocks and bonds (1993)Asymmetric causality tests with an application (2011)Evaluating multiple classifiers for stock price direction prediction (2015)Applications of deep learning in stock market prediction: Recent progress (2021)Deep learning for event-driven stock prediction (2015)Improving stock market prediction via heterogeneous information fusion (2017)Comparing Artificial Neural Network Architectures for Brazilian Stock Market Prediction (2020)A comparative analysis on linear regression and support vector regression (2016)A hybrid stock trading framework integrating technical analysis with machine learning techniques (2016)Survey of stock market prediction using machine learning approach (2017)Forecasting with artificial neural networks: (1998)Beyond greed and fear: understanding behavioral finance and the psychology of investing (2003)Using machine‐learning methods in meta‐analyses: An empirical application on consumer acceptance of meat alternatives (2024)Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? (2011)Data Science and its Relationship to Big Data and Data-Driven Decision Making (2013)Science Mapping: A Systematic Review of the Literature (2017)What Do We Know about Crowdfunding and P2P Lending Research? A Bibliometric Review and Meta-Analysis (2022)Research landscape of energy transition and green finance: A bibliometric analysis (2024)Emerging technologies in finance: challenges for a sustainable finance (2025)A novel text mining approach to financial time series forecasting (2011)Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective (2017)Financial news-based stock movement prediction using causality analysis of influence in the Korean stock market (2018)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)
this work references cited by second hop

References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 2003The Efficient Market Hypothesis and Its Critics2,159 cited
  • 2013Social-Network-Sourced Big Data Analytics215 cited
  • 2002Daily stock market forecast from textual web data163 cited
  • 2008A Hybrid Machine Learning System For Stock Market Forecasting161 cited
  • 2014Public Sentiment Analysis in Twitter Data for Prediction of a Company's Stock Price Movements117 cited

Cited by

  • 2019Predicting the Unpredictable: An Application of Machine Learning Algorithms in Indian Stock Market57 cited
  • 2021Stock Market Analysis Using Linear Regression and Decision Tree Regression49 cited
  • 2018Stock Market Prediction using Machine Learning Algorithms: A Classification Study42 cited
  • 2021Data driven finance: A bibliometric review and scientific mapping36 cited
  • 2018Big Data Analytics: A Comparison of Tools and Applications19 cited

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