Author(s)

S. Hori

Abstract

This paper aims to discover the social interest in the issues of water and society from media reports and to compare it in Japanese and international media. This research uses the online databases of two newspapers: the Japan News and the International New York Times. They are used to understand the difference between the two newspapers. The social interest is discovered by cluster analysis that is, to drive clusters that have value with respect to the problem being addressed. Clustering divides the document collection into mutually exclusive groups based on the presence of similar themes. The articles extracted from those databases are analysed using a KH coder and the generated co-occurrence network. Those papers indicate three Keywords; “people,” “water” and “government.” Words in newspapers always create the first impression of their readers about current topics. The first words and phrases used give rise to common knowledge, which turns out to be regarded as common sense. People are used to being influenced by words.

Keywords

text-mining, water and society, online database, newspaper