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

被引：3

作者：

Saga, Ryosuke ^{[1
]}

Tsuji, Hiroshi ^{[2
]}

Miyamoto, Takao ^{[3
]}

Tabata, Kuniaki ^{[1
]}

机构：

[1] Kanagawa Inst Technol, Dept Informat & Comp Sci, 1030 Shimo Ogino, Atsugi, Kanagawa 2430292, Japan

[2] Osaka Prefecture Univ, Grad Sch Engn, Osaka, Japan

[3] Osaka Prefecture Univ, Fac Liberal Arts & Sci, Osaka, Japan

来源：

ARTIFICIAL LIFE AND ROBOTICS | 2010年 / 15卷 / 02期

关键词：

Trend analysis; FACT-Graph; Text mining; Text mining system;

D O I：

10.1007/s10015-010-0826-3

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

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.

引用

页码：234 / 238

页数：5

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