文章基本信息

标题：TIME SERIES ANALYSIS ON STOCK MARKET FOR TEXT MINING CORRELATION OF ECONOMY NEWS
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作者：Sadi Evren Seker ; Cihan Mert ; Khaled Al-Naami 等
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