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.
This research is partially supported by JST "Research for Promoting Technological Seeds 2007". Dataset is provided by NTCIR project.
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Saga, R., Terachi, M., Sheng, Z., Tsuji, H. (2008). FACT-Graph: Trend Visualization by Frequency and Co-occurrence. In: Dengel, A.R., Berns, K., Breuel, T.M., Bomarius, F., Roth-Berghofer, T.R. (eds) KI 2008: Advances in Artificial Intelligence. KI 2008. Lecture Notes in Computer Science(), vol 5243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85845-4_38
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DOI: https://doi.org/10.1007/978-3-540-85845-4_38
Publisher Name: Springer, Berlin, Heidelberg
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