摘要
基于研究微博作者兴趣挖掘问题,探讨微博中短信息的分类,结合《知网》本体库,将关键词映射到语义概念,并用语义KNN分类算法实现对短信息的分类,经过实验证明,基于语义扩展后的分类比传统分类技术有很好的准确率和召回率。
Based on research interest in microblog on mining issues,discusses the classification of short message in the microblog,combines with HowNet ontology database,maps the Keywords to semantic concepts,and uses KNN classification algorithm to achieve the classification of short message,through experiment shows that the classification based on semantics than the traditional extended classification has better accuracy and recall.
出处
《现代计算机》
2010年第8期18-20,24,共4页
Modern Computer
关键词
微博
短信息
知网
语义扩展
KNN算法
MicroBlog
Short Message
HowNet
Semantic Extension
KNN Algorithm
