计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2012年
12期
38-42
,共5页
观点挖掘%模式%倾向性分析%股评%观点挖掘系统
觀點挖掘%模式%傾嚮性分析%股評%觀點挖掘繫統
관점알굴%모식%경향성분석%고평%관점알굴계통
opinion mining%mode%orientation analysis%stocks comments%opinion mining system
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%.
互聯網已經逐漸成為散戶投資者穫得投資信息的主要渠道.“大盤走勢”是散戶投資股市主要攷慮的因素.這裏基于股評文章的特徵設計實現瞭股評觀點挖掘繫統.該繫統利用基于模式的傾嚮性分析股評的方法,識彆併提取預測性觀點句併通過傾嚮性分析最終穫得股評的分類.實驗錶明,基于該方法的觀點挖掘繫統,查準率達到瞭91.7%.
호련망이경축점성위산호투자자획득투자신식적주요거도.“대반주세”시산호투자고시주요고필적인소.저리기우고평문장적특정설계실현료고평관점알굴계통.해계통이용기우모식적경향성분석고평적방법,식별병제취예측성관점구병통과경향성분석최종획득고평적분류.실험표명,기우해방법적관점알굴계통,사준솔체도료91.7%.
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%.
