Abstract
This paper describes a method to visualize contrast information about two targets the Frequency and Co-occurrence Trend (FACT)-Graph. FACT-Graph is a method to visualize the changes in keyword trends and relationships between terms over two time periods. We have used FACT-Graphs as comparison method between two targets in previous research; however, the method cannot compare them as equals. To visualize contrast information, we combine two FACT-Graphs generated from different viewpoints and express the features in one graph. In case study by using 132 articles from two newspapers, we compare topics such as politics and events in them.
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References
Tiwana, A.: The Knowledge Management Toolkit: Orchestrating IT, Strategy, and Knowledge Platforms. Prentice Hall (2002)
Inmon, W.H.: Building the Data Warehouse. John Wiley & Sons, Inc. (2005)
Feldman, R., Sanger, J.: The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press (2007)
Saga, R., Terachi, M., Sheng, Z., Tsuji, H.: 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. LNCS (LNAI), vol. 5243, pp. 308–315. Springer, Heidelberg (2008)
Saga, R., Tsuji, H., Tabata, K.: Loopo: Integrated Text Miner for FACT-Graph-Based Trend Analysis. In: Salvendy, G., Smith, M.J. (eds.) HCI I 2009. Part II. LNCS, vol. 5618, pp. 192–200. Springer, Heidelberg (2009)
Saga, R., Tsuji, H., Miyamoto, T., Tabata, K.: Development and case study of trend analysis software based on FACT-Graph. Artificial Life and Robotics 15, 234–238 (2010)
Saga, R., Miyamoto, T., Tsuji, H., Matsumoto, K.: FACT-Graph in Web Log Data. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part IV. LNCS, vol. 6884, pp. 271–279. Springer, Heidelberg (2011)
Terachi, M., Saga, R., Tsuji, H.: Trends Recognition. In: IEEE International Conference on Systems, Man & Cybernetics (IEEE/SMC 2006), pp. 4784–4789 (2006)
Saga, R., Takamizawa, S., Kitami, K., Tsuji, H., Matsumoto, K.: Comparison Analysis for Text Data by Using FACT-Graph. In: Salvendy, G., Smith, M.J. (eds.) HCII 2011, Part II. LNCS, vol. 6772, pp. 75–83. Springer, Heidelberg (2011)
Saga, R., Takamizawa, S., Tsuji, H., Matsumoto, K.: Comparison Analysis for Editorials by Reversible FACT-Graph. In: Proceedings of the International Conference on Information and Knowledge Engineering (IKE 2011), pp. 216–221 (2011)
Baayen, R.H.: Word Frequency Distributions. Springer (2002)
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Saga, R., Tsuji, H. (2012). Comparison Analysis for Text Data by Integrating Two FACT-Graphs. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_14
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DOI: https://doi.org/10.1007/978-3-642-29934-6_14
Publisher Name: Springer, Berlin, Heidelberg
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