An efficient hybrid stock trend prediction system during covid-19 pandemic based on stacked-lstm and news sentiment analysis

HIGHLIGHTS

• who: Marwa Sharaf from the University, Menouf, Egypt have published the research work: An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis, in the Journal: (JOURNAL) of 26/03/2020
• what: Point the authors propose an efficient system that applies sentiment analysis of COVID-19 news and Articles to extract the final impact of COVID-19 on the financial stock market. The authors propose a stock market prediction system that extracts the stock movement with the COVID spread. In this part, the authors introduce an . . .
  

   

  

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