文章基本信息

标题：Numerical Analysis of Low Velocity Impact on Woven Fabric Laminated Composite Plates
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作者：Shravan B Kerur ; Nagappa R Siddgonde ; Ravikant B Mulage 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：8
页码：6992
DOI：10.15680/IJIRSET.2015.0408193
出版社：S&S Publications
摘要：To do a Google search query is the main feature of symbolic behavior for an investor on his early stageof choosing stocks. Also this mirrors the extent of an investor’s concern and preference about specific investmentdecisions. As such, keyword search volumes can be used as early warning signs of stock market movements.The main purpose and contribution of this study is to employ the Google search volume index as a proxy for investorattention, thereby enabling the observation of price trends as well as the translation into profitable stock investmentstrategies. This study further investigates the characteristic of time distribution that investors spend on Google searchqueries under the effects of limited attention to predict market trends.
关键词：Google search queries; News; Text mining; Stock selection; Google search