摘要
在意见挖掘中,为实现特殊领域知识的语义相关度计算,提出基于Wikipedia的语义相关度计算方法。在构建Wikipedia类别树的基础上,通过Wikipedia类别向量表示Wikipedia中的词汇,形成一部包含各种领域知识的Wikipedia词典,利用该词典计算语义相关度。实验结果表明,该方法的斯皮尔曼等级相关系数可达到0.77。
In order to compute semantic relevancy for the specific domain knowledge in opinion mining,this paper proposes a semantic relevancy computing method based on Wikipedia.On the basis of constructing a category tree from Wikipedia,it represents the vast words in Wikipedia by using the category and the result in a Wikipedia dictionary which contains rich domain-specific knowledge,and then computes semantic relevancy by using the dictionary.Experimental results show Spearman rank correlation coefficient of this method can reach 0.77.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第19期42-43,46,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60773087)
