| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Research Abstract |
We have developed a method of extracting causal expressions from Japanese financial articles concerning business performance of companies and assigning importance to them automatically. Causal expressions assigned importance are useful for investors in selecting companies to invest, business prediction, and technology-trends prediction. Our method automatically extracted causal information as a form of causal expression by using statistical information and initial clue expressions. We extracted keywords from Web sites of the companies and improved the previous method by using them. Moreover, our method automatically determined the most important causal expression by using these keywords extracted from Web sites of the companies.
We evaluated our method and it attained 77. 3% accuracy and the experimental results showed that our method outperforms Lead(s2) method which determines the sentence which appears in the 2nd in an article concerning business performance of companies as the most important causal expression and Lead(ce) method which determines a causal expression first extracted from an article concerning business performance of companies as the most important causal expression.
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