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  • 标题:TIME SERIES ANALYSIS ON STOCK MARKET FOR TEXT MINING CORRELATION OF ECONOMY NEWS
  • 本地全文:下载
  • 作者:Sadi Evren Seker ; Cihan Mert ; Khaled Al-Naami
  • 期刊名称:International Journal of Social Sciences and Humanity Studies
  • 电子版ISSN:1309-8063
  • 出版年度:2014
  • 卷号:6
  • 期号:1
  • 出版社:Social Sciences Research Society
  • 摘要:This paper proposes an information retrieval method for the economy news. The effect of economy news, are researched in the word level and stock market values are considered as the ground proof. The correlation between stock market prices and economy news is an already ad- dressed problem for most of the countries. The most well-known approach is ap- plying the text mining approaches to the news and some time series analysis tech
  • 关键词:Data Mining; Time Series Analysis; Big Data; Stock Market ; Analysis; Bollinger band; RSI index; Moving Average; Momentum; Random ; Walk; Text Mining; Signal Processing
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