Sentimental Analysis Using ML: A Case Study in Stock Market Prediction
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Liliang Chen, Senior Modeler, Fannie Mae
Social media platform has become a vibrant online platform to exchange ideas. Economic analysis indicates a correlation between consumer sentiment and stock price movement. I will explain how to use social media information (Twitter and stocktwits sentiment and posting volume) to capture market mood, and to predict the daily up and down price movements, to predict stock market behavior. I will present how one can use the historical data, and subset the data into training dataset and testing dataset, and how to perform backtesting and forecasting.
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