| Presentation | 2013-09-13 Extraction of causal information from PDF files of the summary of financial statements of companies Hiroko Nishizawa, Hiroyuki Sakai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a method for extracting causal information from PDF files of the summary of financial statements of companies, e.g., the sales of smart phones was expanded continually. Our method extracts causal information form a PDF file of the summary of financial statements of a company by using clue expressions (e.g., "was good") and keywords relevant to the company. The clue expressions are extracted from articles concerning business performance of the financial press report automatically and keywords relevant to a company are extracted from the Web pages of the company. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Extraction of causal information / PDF files of the summary of financial statements / support of investment decision |
| Paper # | NLC2013-27 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2013/9/5(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extraction of causal information from PDF files of the summary of financial statements of companies |
| Sub Title (in English) | |
| Keyword(1) | Extraction of causal information |
| Keyword(2) | PDF files of the summary of financial statements |
| Keyword(3) | support of investment decision |
| 1st Author's Name | Hiroko Nishizawa |
| 1st Author's Affiliation | Department of Computer and Information Science, Seikei University() |
| 2nd Author's Name | Hiroyuki Sakai |
| 2nd Author's Affiliation | Department of Computer and Information Science, Seikei University |
| Date | 2013-09-13 |
| Paper # | NLC2013-27 |
| Volume (vol) | vol.113 |
| Number (no) | 213 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |