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On the Importance of Text Analysis for Stock Price Prediction
7 references·12 citing·53 second hop
On the Importance of Text Analysis for Stock Price Prediction (2014)On the Importance of Text Analysis for St…Assessing asset pricing models using revealed preference (2015)Assessing asset pricing model…Word power: A new approach for content analysis (2013)Word power: A new approach fo…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Identifying and Following Expert Investors in Stock Microblogs (2011)Identifying and Following Exp…Event-Driven Trading and the “New News” (2011)Event-Driven Trading and the …Predicting risk from financial reports with regression (2009)Predicting risk from financia…Costly Information Processing: Evidence from Earnings Announcements (2008)Costly Information Processing…Multi-modal deep learning for credit rating prediction using text and numerical data streams (2025)Multi-modal deep learning for…Artificial Intelligence vs. Efficient Markets: A Critical Reassessment of Predictive Models in the Big Data Era (2025)Artificial Intelligence vs. E…Validating the impact of accounting disclosures on stock market: A deep neural network approach (2021)Validating the impact of acco…Stock Price Prediction Using Sentiment Analysis (2021)Stock Price Prediction Using …FAST: Financial News and Tweet Based Time Aware Network for Stock Trading (2021)FAST: Financial News and Twee…Analysis of news sentiments using natural language processing and deep learning (2020)Analysis of news sentiments u…Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis (2019)Predicting stock market trend…Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis (2019)Exploring Graph Neural Networ…A new metric for individual stock trend prediction (2019)A new metric for individual s…Assessing the usefulness of online message board mining in automatic stock prediction systems (2017)Assessing the usefulness of o…Measuring the Information Content of Financial News. (2016)Measuring the Information Con…Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks (2016)Leverage Financial News to Pr…Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards (2004)An Experiment in Integrating Sentiment Features for Tech Stock Prediction in Twitter (2012)Semantic Frames to Predict Stock Price Movement (2013)Tweets and Trades: the Information Content of Stock Microblogs (2013)A New Model for Stock Price Movements Prediction Using Deep Neural Network (2017)Stock price reaction to news and no-news: drift and reversal after headlines (2003)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)What’s in the News? Using News Sentiment Momentum for Tactical Asset Allocation (2015)News versus Sentiment: Predicting Stock Returns from News Stories (2016)Does OPEC news sentiment influence stock returns of energy firms in the United States? (2018)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law (2012)Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter (2015)Movie Reviews and Revenues: An Experiment in Text Regression (2018)Common risk factors in the returns on stocks and bonds (1993)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches (2008)News Trading and Speed (2015)Rumor Has It: Sensationalism in Financial Media (2015)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)On Persistence in Mutual Fund Performance (1997)Which Factors Matter to Investors? Evidence from Mutual Fund Flows (2016)What Do Mutual Fund Investors Really Care About? (2021)Analyzing Active Fund Managers’ Commitment to ESG: Evidence from the United Nations Principles for Responsible Investment (2022)Designing a neural network for forecasting financial and economic time series (1996)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)Using Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)A new LSTM based reversal point prediction method using upward/downward reversal point feature sets (2019)Transformer-Based Capsule Network For Stock Movement Prediction (2019)Stock Trend Prediction Using Deep Learning Approach on Technical Indicator and Industrial Specific Information (2021)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)psych: Procedures for Personality and Psychological Research (2017)Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction (2020)Short-term stock trends prediction based on sentiment analysis and machine learning (2022)An explainable deep learning approach for stock market trend prediction (2024)A complex network approach to supply chain network theory (2013)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Temporal Relational Ranking for Stock Prediction (2019)ML-GAT:A Multilevel Graph Attention Model for Stock Prediction (2022)VGC-GAN: A multi-graph convolution adversarial network for stock price prediction (2023)Enhancing portfolio management using artificial intelligence: literature review (2024)Why new issues are underpriced (1986)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)IPO first-day returns, offer price revisions, volatility, and form S-1 language (2013)Intraday online investor sentiment and return patterns in the U.S. stock market (2017)Can ChatGPT forecast stock price movements? Return predictability and large language models (2026)
this work references cited by second hop

References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 2015Assessing asset pricing models using revealed preference566 cited
  • 2013Word power: A new approach for content analysis548 cited
  • 2008Costly Information Processing: Evidence from Earnings Announcements328 cited
  • 2009Predicting risk from financial reports with regression271 cited
  • 2011Identifying and Following Expert Investors in Stock Microblogs122 cited
  • 2011Event-Driven Trading and the “New News”83 cited

Cited by

  • 2019Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis94 cited
  • 2016Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks91 cited
  • 2019Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis66 cited
  • 2021Validating the impact of accounting disclosures on stock market: A deep neural network approach59 cited
  • 2021Stock Price Prediction Using Sentiment Analysis49 cited
  • 2020Analysis of news sentiments using natural language processing and deep learning46 cited
  • 2017Assessing the usefulness of online message board mining in automatic stock prediction systems45 cited

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  • 2021FAST: Financial News and Tweet Based Time Aware Network for Stock Trading41 cited
  • 2016Measuring the Information Content of Financial News.38 cited
  • 2019A new metric for individual stock trend prediction36 cited
  • 2025Artificial Intelligence vs. Efficient Markets: A Critical Reassessment of Predictive Models in the Big Data Era35 cited
  • 2025Multi-modal deep learning for credit rating prediction using text and numerical data streams33 cited