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Title:
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INTEGRATING FACT-GRAPHS FOR COMPARISON ANALYSIS BASED ON TF-IDF WEIGHT |
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Author(s):
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Ryosuke Saga, Hiroshi Tsuji |
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ISBN:
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978-972-8939-68-7 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Knowledge Management, Contrast Mining, Comparison Analysis, Visualization, FACT-Graph, Text Mining |
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Type:
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Full Paper |
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First Page:
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34 |
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Last Page:
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40 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper describes a method to visualize comparison information about two targets by using FACT-Graph. FACT-Graph is a method to visualize the changes in keyword trends and relationships between terms over two time categories. We have used FACT-Graphs as comparison method between two targets in previous research by using two FACT-Graphs; however, the research cannot compare two targets as equal because one graph specialize in showing one characteristics. To visualize contrast information, we combine two FACT-Graphs generated from different viewpoints and express the features in one graph based on TF-IDF. In case study by using 132 articles from two newspapers, we compare topics such as politics, economics, and broadcasting in them. |
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