Development and case study of trend analysis software based on FACT-Graph

Authors:
Ryosuke Saga;Hiroshi Tsuji;Takao Miyamoto;Kuniaki Tabata
Affiliations:
Department of Information and Computer Sciences, Kanagawa Institute of Technology, Atsugi, Japan 243-0292;Graduate School of Engineering, Osaka Prefecture University, Osaka, Japan;Faculty of Liberal Arts and Sciences, Osaka Prefecture University, Osaka, Japan;Department of Information and Computer Sciences, Kanagawa Institute of Technology, Atsugi, Japan 243-0292
Venue:
Artificial Life and Robotics
Year:
2010

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Abstract

This article proposes text mining software to analyze FACT-Graph, and describes a case study using the software. FACT-Graph is a trend graph which visualizes what kinds of topic exist and shows the changes in trends in time-series text data. However, FACT-Graph itself does not have enough environments to analyze trends although it provides clues for a trend. In order to resolve this problem, we developed the software called Loopo. This software provides the functions of adding the considerations of the analyst as the keywords, and operating FACT-Graph itself such as moving, adding, and clearing nodes. The system also allows analysts to refer to an information source, keyword information, and network information in order to analyze and consider FACT-Graph. In a case study about criminal trends using the titles of newspaper articles between 1987 and 2007, we confirmed the usability of this software.