Abstract
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. © 2011 Springer-Verlag.
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CITATION STYLE
Saga, R., Takamizawa, S., Kitami, K., Tsuji, H., & Matsumoto, K. (2011). Comparison analysis for text data by using FACT-graph. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6772 LNCS, pp. 75–83). https://doi.org/10.1007/978-3-642-21669-5_10
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