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Using News to Predict Investor Sentiment: Based on SVM Model
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Using News to Predict Investor Sentiment: Based on SVM Model (2020)Using News to Predict Investor Sentiment:…Financial news-based stock movement prediction using causality analysis of influence in the Korean stock market (2018)Financial news-based stock mo…A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity (2018)A new graphic kernel method o…Text Opinion Mining to Analyze News for Stock Market Prediction (2014)Text Opinion Mining to Analyz…Stock Price Prediction based on SSA and SVM (2014)Stock Price Prediction based …Textual analysis of stock market prediction using breaking financial news (2009)Textual analysis of stock mar…Identifying Firm-Specific Risk Statements in News Articles (2009)Identifying Firm-Specific Ris…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Stock price reaction to news and no-news: drift and reversal after headlines (2003)Stock price reaction to news …EPISTEMIC MODALITY AND SPOKEN DISCOURSE (1987)Countering the biggest risk of all. (2005)Text mining approaches for stock market prediction (2010)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)What can big data and text analytics tell us about hotel guest experience and satisfaction? (2014)Applications of deep learning in stock market prediction: Recent progress (2021)The arbitrage theory of capital asset pricing (1976)Economic Forces and the Stock Market (1986)The Cross-Section of Expected Stock Returns (1992)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A new approach for crude oil price analysis based on Empirical Mode Decomposition (2007)Short term forecasting with support vector machines and application to stock price prediction (2008)Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators (2018)Artificial bee colony-based combination approach to forecasting agricultural commodity prices (2019)LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting (2025)NewsCATS: A News Categorization and Trading System (2006)Twitter mood predicts the stock market (2011)Predicting the direction of stock market prices using tree-based classifiers (2018)A systematic review of fundamental and technical analysis of stock market predictions (2019)Efficacy of News Sentiment for Stock Market Prediction (2019)Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards (2004)The impact of social and conventional media on firm equity value: A sentiment analysis approach (2012)Trade the tweet: Social media text mining and sparse matrix factorization for stock market prediction (2016)A self-regulated generative adversarial network for stock price movement prediction based on the historical price and tweets (2022)Prediction of SSE Shanghai Enterprises index based on bidirectional LSTM model of air pollutants (2022)A hybrid model for stock price prediction based on multi-view heterogeneous data (2024)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Scaling and criticality in a stochastic multi-agent model of a financial market (1999)Predicting stock returns in the presence of COVID-19 pandemic: The role of health news (2020)Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts (2021)Deep reinforcement learning for stock portfolio optimization by connecting with modern portfolio theory (2023)Does the Stock Market Overreact? (1985)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors (2007)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)Media Coverage and the Cross‐section of Stock Returns (2009)
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References

  • 2004Forecasting stock market movement direction with support vector machine1,163 cited
  • 2003Stock price reaction to news and no-news: drift and reversal after headlines1,074 cited
  • 2009Textual analysis of stock market prediction using breaking financial news784 cited
  • 2018Financial news-based stock movement prediction using causality analysis of influence in the Korean stock market154 cited
  • 2014Stock Price Prediction based on SSA and SVM108 cited
  • 2014Text Opinion Mining to Analyze News for Stock Market Prediction72 cited
  • 2018A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity44 cited
  • 2009Identifying Firm-Specific Risk Statements in News Articles15 cited

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