计算机应用与软件2017，Vol.34Issue(3)：181-188,266,9.DOI:10.3969/j.issn.1000-386x.2017.03.033
社会化信息对股市波动影响分析-基于SparkR平台的实现
THE RESEARCH OF THE IMPACT OF SOCIAL INFORMATION ON STOCK MARKET VOLATILITY BASED ON THE SPARKR
摘要
Abstract
With the rapid development of information society, social information is becoming richer.This information will influence the stock market volatility.However, the data is in huge amount, and most of them are unstructured, thus increasing the difficulty of analyzing the impact of the social information on the market.This problem is trying to be solved by the distributed calculating technology and discuss the impact of social information on the stock market from two aspects of information volume and information sentiment.By building SparkR platform firstly how to use this platform to solve the problem of feature selection and sentiment classification of social information of the stock market is discussed.Secondly, the impact on the market of information volume and sentimental information is compared.Experimental result shows the sentimental information can accurately describe the changes of market.In order to validate the feasibility of this solution further, this paper defines the different sentimental measurement method, compares the advantages and disadvantages of these different solutions, and then gives the integrated solutions for analyzing the impact of social information on stock market volatility.Finally, the effectiveness of the proposed solution is verified by experiment.关键词
SparkR/特征选择/分布式计算/文本挖掘/情感分类Key words
SparkR/Feature selection/Distributed analysis/Text mining/Sentiment classification分类
信息技术与安全科学引用本文复制引用
倪丽萍,马驰宇,刘小军..社会化信息对股市波动影响分析-基于SparkR平台的实现[J].计算机应用与软件,2017,34(3):181-188,266,9.基金项目
国家自然科学基金项目(71301041,71271071). （71301041,71271071）
