Comparison Analysis for Text Data by Integrating Two FACT-Graphs
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.
KeywordsContrast Mining Visualization FACT-Graph Text Mining Knowledge Management
Unable to display preview. Download preview PDF.
- 1.Tiwana, A.: The Knowledge Management Toolkit: Orchestrating IT, Strategy, and Knowledge Platforms. Prentice Hall (2002)Google Scholar
- 2.Inmon, W.H.: Building the Data Warehouse. John Wiley & Sons, Inc. (2005)Google Scholar
- 3.Feldman, R., Sanger, J.: The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press (2007)Google Scholar
- 8.Terachi, M., Saga, R., Tsuji, H.: Trends Recognition. In: IEEE International Conference on Systems, Man & Cybernetics (IEEE/SMC 2006), pp. 4784–4789 (2006)Google Scholar
- 10.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)Google Scholar
- 11.Baayen, R.H.: Word Frequency Distributions. Springer (2002)Google Scholar