Trend Analysis Tool with Simultaneous Visualization of Rank and Value

Abstract

In this paper, a technique for visualizing the changing rank and value of events simultaneously with time, as well as a trend analysis tool that uses the resulting visualization, are proposed. This technique facilitates analysts' understanding of the trends of both the entire data set and each event. It also uses colors, which are estimated automatically from the events' text labels, to represent the category to which events belong. Using the tool, the authors analyzed trends of topic data extracted from Twitter as use case, and could observe the trends and overview of Twitter. In addition, using the tool it is possible to present the different ways in which people who use different media think, using media-generated data.