摘要
互联网上的海量信息中包含和反映了人们的观点和舆论倾向。从网上相关信息中抽取出人们的主观意向如消费者的购买倾向、政治观点等已成为了Web研究的热点。提出了几种适用于实时抽取网上舆论观点的算法,主要描述了各算法分析观点的原理及分类过程。
The extremely large message flow on Internet comprises and reflects people’s standpoint and tendency of public opinion as well.To extract people’s subjective intent,such as customer purchase,public viewpoint from Internet has become highlight in Web research.This paper suggests several algorithms for the extraction of public opinion on Internet.It is mainly discussed in this paper about the algorithms’theory and process of analyzing respectively.
出处
《计算机应用研究》
CSCD
北大核心
2005年第5期256-257,260,共3页
Application Research of Computers
关键词
观点抽取
观点分析器
分类算法
Opinion Extraction
Opinion Analysis Engine
Classification Algorithm
