Stock price prediction for google based on lstm model with sentiment analysis

HIGHLIGHTS

• What: The aim of this paper is to get a better stock price prediction model which is more accurate and requires less response time. Researcher Zhou used a model with SVM-ES as the main component in the stock price prediction process and included investor evaluations from certain Internet stock trading websites, which included joy due to investment success and bitterness due to investment failure, etc., and the results of the experiment were significantly improved compared with those before the improvement . It seems insufficient to show that the addition of a sentiment index can better improve the . . .
  

   

  

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