数据挖掘关联规则在词语关联度计算中的应用

Application of Data Mining Association Rules in Word Correlation Calculation

在简要介绍数据挖掘关联规则以及词语关联度计算现状的基础上,对FP-growth算法进行了描述,并将其应用到词语关联度中,提出利用一种构建词汇社区结构的方法,实现对词语关联度的计算。通过实验分析,提出的计算词语关联度的算法取得了更好的准确率,具有一定的可行性和实用性。

The authors of this paper briefly introduce the association rules of data mining and the current situation of the calculation of word correlation,explain the FP-growth algorithm,then apply it to word association.Finally,a method of building a vocabulary community structure is proposed to realize the calculation of word association.The analysis of the experiment results shows that the proposed algorithm for word correlation has achieved better accuracy,and is feasible and practical.