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Forecasting Oil Price Using Web-based Sentiment Analysis
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Forecasting Oil Price Using Web-based Sentiment Analysis (2019)Forecasting Oil Price Using Web-based Sen…Text-based crude oil price forecasting: A deep learning approach (2018)Text-based crude oil price fo…A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms (2018)A novel hybrid method of fore…Influential factors in crude oil price forecasting (2017)Influential factors in crude …A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting (2017)A non-iterative decomposition…The impact of crude oil prices on financial market indicators: copula approach (2016)The impact of crude oil price…Forecasting energy market indices with recurrent neural networks: Case study of crude oil price fluctuations (2016)Forecasting energy market ind…A survey of the applications of text mining in financial domain (2016)A survey of the applications …Sentiment analysis on social media for stock movement prediction (2015)Sentiment analysis on social …A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting (2015)A novel decomposition ensembl…Text mining for market prediction: A systematic review (2014)Text mining for market predic…Oil price volatility and oil-related events: An Internet concern study perspective (2014)Oil price volatility and oil-…Automated trading with performance weighted random forests and seasonality (2013)Automated trading with perfor…Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Giving Content to Investor Se…A New Method for Crude Oil Price Forecasting Based on Support Vector Machines (2006)A New Method for Crude Oil Pr…News Sensitive Stock Trend Prediction (2002)News Sensitive Stock Trend Pr…Chaos in oil prices? Evidence from futures markets (2001)Chaos in oil prices? Evidence…Does news tone help forecast oil? (2021)Does news tone help forecast …The Adjustment of Stock Prices to New Information (1969)Efficient Capital Markets: II (1991)Twitter mood predicts the stock market (2011)The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices (2016)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)Forecasting stock market movement direction with support vector machine (2004)Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series (2020)Forecasting: theory and practice (2022)Event Studies in Economics and Finance (1997)Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market (2009)Dynamic connectedness and integration in cryptocurrency markets (2018)Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS (2018)Oil price volatility and economic growth: Evidence from advanced economies using more than a century’s data (2018)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Stock returns and the weekend effect (1980)Evaluating multiple classifiers for stock price direction prediction (2015)Application of machine learning to construction injury prediction (2016)A comprehensive evaluation of ensemble learning for stock-market prediction (2020)Distributional Structure (1954)Is All That Talk Just Noise? 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(1936)Common risk factors in the returns on stocks and bonds (1993)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)In Search of Attention (2011)Textual Analysis in Accounting and Finance: A Survey (2016)Book Review: Time Series Analysis: Forecasting and Control (1977)Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series (2019)Machine learning in energy economics and finance: A review (2019)A systematic review of fundamental and technical analysis of stock market predictions (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)
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References

  • 2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market4,971 cited
  • 2015Sentiment analysis on social media for stock movement prediction639 cited
  • 2014Text mining for market prediction: A systematic review630 cited
  • 2018Text-based crude oil price forecasting: A deep learning approach317 cited
  • 2016A survey of the applications of text mining in financial domain265 cited
  • 2006A New Method for Crude Oil Price Forecasting Based on Support Vector Machines258 cited
  • 2014Oil price volatility and oil-related events: An Internet concern study perspective237 cited
  • 2015A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting204 cited
  • 2017Influential factors in crude oil price forecasting204 cited
  • 2013Automated trading with performance weighted random forests and seasonality153 cited
  • 2017A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting153 cited
  • 2018A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms146 cited
  • 2001Chaos in oil prices? Evidence from futures markets145 cited
  • 2016The impact of crude oil prices on financial market indicators: copula approach144 cited

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  • 2016Forecasting energy market indices with recurrent neural networks: Case study of crude oil price fluctuations142 cited
  • 2002News Sensitive Stock Trend Prediction135 cited
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    • 2021Does news tone help forecast oil?26 cited