2011 Fiscal Year Final Research Report
Development of the method of extracting causal expressions from Japanese financial articles concerning business performance and analyzing them for supporting decision on investment
| Project/Area Number |
21700158
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | Toyohashi University of Technology |
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Principal Investigator |
SAKAI Hiroyuki 豊橋技術科学大学, 大学院・工学研究科, 助教 (70402659)
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| Project Period (FY) |
2009 – 2011
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| Keywords | テキストマイニング / 情報抽出 / 業績要因抽出 / 投資判断支援 / 技術動向予測 / 重要度付与 |
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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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