FACT-Graph: Trend Visualization by Frequency and Co-occurrence

Authors:
Ryosuke Saga;Masahiro Terachi;Zhongqi Sheng;Hiroshi Tsuji
Affiliations:
School of Information Technology, Kanagawa Institute of Technology, Kanagawa, Japan 243-0292;Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan 559-8531;Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan 559-8531 and School of Mechanical Engineering, Northeastern University, Shenyang, China 110004;Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan 559-8531
Venue:
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Year:
2008

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Abstract

In order to visualize keyword trends embedded in documents, this paper proposes FACT-Graph (Frequency and Co-occurrence-based Trend Graph). First, we introduce four classes of keywords by TF (Term Frequency) and DF (Document Frequency). Then while some keywords stay in the same class between two periods, others stay in the difference classes. Paying attention to such class transition between periods, we make it a clue of trend analysis. Next, we identify relationship between keywords by their co-occurrence strength and their transition between two periods. Then, we propose FACT-Graph by combining class transition information and co-occurrence transition information. Finally, an application to newspaper article is also discussed.