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Received:April 13, 2012 Revised:May 12, 2012
Received:April 13, 2012 Revised:May 12, 2012
中文摘要: 互联网已经逐渐成为散户投资者获得投资信息的主要渠道. “大盘走势”是散户投资股市主要考虑的因素.这里基于股评文章的特征设计实现了股评观点挖掘系统. 该系统利用基于模式的倾向性分析股评的方法, 识别并提取预测性观点句并通过倾向性分析最终获得股评的分类. 实验表明, 基于该方法的观点挖掘系统, 查准率达到了91.7%.
Abstract:Internet has become the main channel of information on investment for individual investors. “market trend” is a major consideration for individual investors to investment market. Here to try to design the opinion mining system of stock, the system uses model-based method of tendentious analysis of stock analysts, to identify and extract the predictable view of statement classification and tendentious analysis of the final stock analysts. The experiment results show that the use of the approach makes the opinion mining system’s precision rate arrive at 91.7%.
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基金项目:国家自然科学基金(61170112);北京市教委科技创新平台建设项目(PXM2011_014213_113631)
引用文本：
莫倩,姜越,胡航丽.基于web 的股评观点挖掘系统.计算机系统应用,2012,21(12):38-42,51
MO Qian,JIANG Yue,HU Hang-Li.An Opinion Mining System of Stock Recommendations Based on Web.COMPUTER SYSTEMS APPLICATIONS,2012,21(12):38-42,51
莫倩,姜越,胡航丽.基于web 的股评观点挖掘系统.计算机系统应用,2012,21(12):38-42,51
MO Qian,JIANG Yue,HU Hang-Li.An Opinion Mining System of Stock Recommendations Based on Web.COMPUTER SYSTEMS APPLICATIONS,2012,21(12):38-42,51
