Visual Interface for Novice Readers Based on Topic Relation in News Articles

Abstract

The aim of this research is to deepen a user's understanding of topics appeared in a series of news articles by having the user grasp the relationship between the articles about the theme they are interested in. In recent years, the number of people using Web news sites is increasing. However, news articles on the Web are diverse and enormous, it is difficult for people without expertise to grasp the relationship between articles at present. To solve the problem, We proposes a system that categorizes the articles based on the relevance of topics apeared in the news articles, reflects them in the hierarchical structure, and visualizes the relationships of the articles clearly. This paper describes the prototype of the system and verifies it.