Corpus ID: 36603525

Mining to Analyze News for Stock Market Prediction

@inproceedings{Kim2014MiningTA,
  title={Mining to Analyze News for Stock Market Prediction},
  author={Yoosin Kim and S. Jeong and I. Ghani},
  year={2014}
}
  • Yoosin Kim, S. Jeong, I. Ghani
  • Published 2014
  • Business
  • This is a known fact that news and stock prices are closely related and news usually has a great influence on stock market investment. There have been many researches aimed at identifying that relationship or predicting stock market movements using news analysis. Recently, massive news tests, called unstructured big-data, have been used to predict stock price. In this paper, we introduce a method of mining text opinions to analyze Korean language news in order to predict rises and falls on the… CONTINUE READING

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