Text Mining of the Midterm Goals of National Universities for the Development of Their Individual Characteristics

Kahori Ogashiwa · Masao Mori · Sachio Hirokawa

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Computational and Text Analysis Methods Higher Education Governance and Development Data Visualization and Analytics

Abstract

This paper attempts to discover the distinguishing characteristics of Japanese national universities, and to determine the strengths of each university by analyzing their midterm goals. We propose a method that extracts words from documents, analyzes them, and visualizes the features of documents on the basis of these extracted words. We developed two systems, a cross-tabulation search engine and a keyword map search engine, for the midterm goal document. In these systems, the user both decides the viewpoint to be compared and analyzed and inputs the search word, so that the relation of the words related to the search word is visualized, and a novel comparison analysis method among university organizations is realized. In this paper, we report the outline of these systems and the results of the verification of the two systems, using “regional contribution” as an example.

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