摘要
分析了几种可用于网络观点评论的分类算法,并将其中的SVM算法和SO-PMI算法用于股票评论的观点分类.实验结果表明,SVM算法和SO-PMI算法在股票评论中的分类性能一般,仍需进一步改进.
This paper analyzes several classification algorithms which can be used to classify the internet reviews. SVM and SO-PMI are applied to the stock reviews. The experiment results that SVM and SO-PMI are suitable for the classification of stock reviews and they need to be further improved.
出处
《北京工商大学学报（自然科学版）》
CAS
2008年第3期61-65,共5页
Journal of Beijing Technology and Business University:Natural Science Edition
基金
北京市科技新星计划资助项目(2006B10)
北京市教委科技发展计划资助项目(KM200610011002)
北京市优秀人才资助计划项目(20061D0500300136)
