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Title:
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APPLICATION FOR TEXT-BASED COMPARISON ANALYSIS USING FREQUENCY AND CO-OCCURRENCE TREND-GRAPH |
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Author(s):
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Ryosuke Saga, Seiko Takamizawa, Hiroshi Tsuji, Kazunori Matsumoto |
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ISBN:
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978-972-8939-47-2 |
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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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2011 |
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Edition:
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Single |
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Keywords:
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Knowledge Management, Comparison Analysis, FACT-Graph, Visualization |
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Type:
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Poster/Demonstration |
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First Page:
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352 |
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Last Page:
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354 |
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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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In knowledge management, comparison analysis is an important approach to recognize own features and make a decision of investment and strategy. This paper proposes the method of application for comparison analysis using FACT-Graph (Frequency and Co-occurrence Trend Graph). FACT-Graph is the method to visualize the keywords trend and relationships between terms over two time periods. FACT-Graph is useful for several cases such as politics and crime. In order to apply FACT-Graph for comparing information, we regard the trends as the category which is the target of comparisons, and collate the features in each comparison target. For the comparison analysis by using two newspapers which have 6220 articles, we show and compare topics and events such as politics and economics by the relationships between terms in the result of FACT-Graph. |
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