Quantitative Analytic Framework of Relations among Unstructured Data

Various relations exist in the recent big data and are important in understanding enormous information. We have proposed an analytic framework of relations among unstructured data focusing on miss-classified items in clustering algorithms. The framework has succeeded in finding out somewhat relations among substances. The analytical framework, however, could only perform the subjective analysis but quantitative analysis of those relations.In this paper, we, therefore, have developed the quantitative analytic framework of those relations. We also carried out experiments using news articles and quantitative analysis of the relations among nations following the previous work.