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- W3048657584 abstract "The stock price reflects people's psychology, and factors affecting the entire stock market include economic growth rate, economic rate, interest rate, trade balance, exchange rate, and currency. The domestic stock market is heavily influenced by the stock index of the United States and neighboring countries on the previous day, and the representative stock indexes are the Dow index, NASDAQ, and S & P500. Recently, research on stock price analysis using stock news has been actively conducted, and research is underway to predict the future based on past time series data through artificial intelligence-based analysis. However, even if the stock market is hit for a short period of time by the forecasting system, the market will no longer move according to the short-term strategy, and it will have to change anew. Therefore, this model monitored Samsung Electronics' stock data and news information through text mining, and presented a predictable model by showing the analyzed results." @default.
- W3048657584 created "2020-08-18" @default.
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- W3048657584 date "2020-07-01" @default.
- W3048657584 modified "2023-09-28" @default.
- W3048657584 title "A study on stock price prediction system based on text mining method using LSTM and stock market news" @default.
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- W3048657584 doi "https://doi.org/10.14400/jdc.2020.18.7.223" @default.
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