Comparison Analysis for Text Data by Using FACT-Graph

被引：0

作者：

Saga, Ryosuke ^{[1
]}

Takamizawa, Seiko ^{[2
]}

Kitami, Kodai ^{[2
]}

Tsuji, Hiroshi ^{[3
]}

Matsumoto, Kazunori ^{[2
]}

机构：

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

[2] Kanagawa Inst Technol, Grad Sch Engn, Atsugi, Kanagawa 2430292, Japan

[3] Osaka Prefecture Univ, Grad Sch Engn, Naka Ku, Sakai, Osaka 5598531, Japan

来源：

HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INTERACTING WITH INFORMATION, PT 2 | 2011年 / 6772卷

基金：

日本学术振兴会;

关键词：

Comparison Analysis; Visualization; FACT-Graph; Text Mining; Knowledge Management;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes a method to apply the Frequency and Co-occurrence Trend (FACT)-Graph to comparison analysis. FACT-Graph is the method to visualize the changes in keyword trends and relationships between terms over two time periods. The usefulness of FACT-Graph has been shown in tracking trends in politics and crime. To apply FACT-Graph to compare information, we use class transition analysis and separate analysis periods into categories that are the target of comparisons, and collate the features in each comparison target. For the comparison analysis by using 138 articles from two newspapers, we compare topics such as politics and events in them by using the relationships between terms found in the FACT-Graph results.

引用

页码：75 / 83

页数：9

共 9 条

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