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 |
Research Field |
Intelligent informatics
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Research Institution | Toyohashi University of Technology |
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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Project Status |
Completed (Fiscal Year 2011)
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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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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 / 製品・部門情報抽出 / 製品特徴情報抽出 / 極性付与 / 根拠表現抽出 / 景気予測 |
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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Report
(4 results)
Research Products
(43 results)
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[Presentation] Extracting EFFECT Expressions Form Patent Documents2010
Author(s)
Hirofumi Nonaka, Yusuke Suzuki, Hiroki Sakaji, Hiroyuki Sakai, Shigeru Masuyama
Organizer
The 25th International Technical Conference of Circuits/Systems, Computers andCommunications(ITC-CSCC 2010)
Place of Presentation
Pattaya, Thailand
Year and Date
2010-07-07
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