Abstract
Big data analytics is difficult for people since there are so many factors that can influence the ways stock market change. Big data analytics is different from weather forecasting, which can be made by applying the laws of atmospheric change and mass experience and other comprehensive research. However, stock markets do not have a fixed law that allows people to do analysis. They are influenced by governments decision, information on the website, citizens’ behaviors, etc. Hence, this paper helps people learn how to do big data analytics and stock market prediction by three steps, such as sentiment analysis, information extraction and cleaning, and three models for stock market prediction. The implementation process of big data analytics generally includes several stages, such as data acquisition and recording, information extraction and cleaning, data integration and presentation, selection of modeling and analysis methods, interpretation of results, effectiveness of evaluation results and monitoring.[1],[2] The result of the prediction is that LSTM model is the best model in prediction of the trend of stock market.
Published Version
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